From 4c719e98d6f8d6ac76ac7dac2cd53b7c2db0c395 Mon Sep 17 00:00:00 2001 From: Yoshi Automation Date: Tue, 13 Oct 2026 07:31:43 +0000 Subject: [PATCH 01/32] feat(agentregistry): update the api #### agentregistry:v1 The following keys were added: - resources.projects.resources.locations.resources.aiApplications.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.aiApplications.methods.list (Total Keys: 20) - resources.projects.resources.locations.resources.aiApplications.resources.agents.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.aiApplications.resources.agents.methods.list (Total Keys: 16) - resources.projects.resources.locations.resources.aiApplications.resources.endpoints.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.aiApplications.resources.endpoints.methods.list (Total Keys: 16) - resources.projects.resources.locations.resources.aiApplications.resources.mcpServers.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.aiApplications.resources.mcpServers.methods.list (Total Keys: 16) - schemas.AiApplication (Total Keys: 17) - schemas.ApplicationProperties (Total Keys: 5) - schemas.Attributes (Total Keys: 10) - schemas.ContactInfo (Total Keys: 4) - schemas.Criticality (Total Keys: 3) - schemas.Environment (Total Keys: 3) - schemas.ExtendedMetadata (Total Keys: 5) - schemas.ListAiApplicationAgentsResponse (Total Keys: 5) - schemas.ListAiApplicationEndpointsResponse (Total Keys: 5) - schemas.ListAiApplicationMcpServersResponse (Total Keys: 5) - schemas.ListAiApplicationsResponse (Total Keys: 7) #### agentregistry:v1alpha The following keys were added: - resources.projects.resources.locations.resources.aiApplications.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.aiApplications.methods.list (Total Keys: 20) - resources.projects.resources.locations.resources.aiApplications.resources.agents.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.aiApplications.resources.agents.methods.list (Total Keys: 16) - resources.projects.resources.locations.resources.aiApplications.resources.endpoints.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.aiApplications.resources.endpoints.methods.list (Total Keys: 16) - resources.projects.resources.locations.resources.aiApplications.resources.mcpServers.methods.get (Total Keys: 11) - resources.projects.resources.locations.resources.aiApplications.resources.mcpServers.methods.list (Total Keys: 16) - schemas.AiApplication (Total Keys: 17) - schemas.ApplicationProperties (Total Keys: 5) - schemas.Attributes (Total Keys: 10) - schemas.Channel (Total Keys: 3) - schemas.ContactInfo (Total Keys: 5) - schemas.Criticality (Total Keys: 7) - schemas.Environment (Total Keys: 5) - schemas.ExtendedMetadata (Total Keys: 5) - schemas.ListAiApplicationAgentsResponse (Total Keys: 5) - schemas.ListAiApplicationEndpointsResponse (Total Keys: 5) - schemas.ListAiApplicationMcpServersResponse (Total Keys: 5) - schemas.ListAiApplicationsResponse (Total Keys: 7) --- ...registry_v1.projects.locations.agents.html | 2 +- ...jects.locations.aiApplications.agents.html | 242 +++++++ ...ts.locations.aiApplications.endpoints.html | 186 ++++++ ..._v1.projects.locations.aiApplications.html | 170 +++++ ...s.locations.aiApplications.mcpServers.html | 212 ++++++ ...gistry_v1.projects.locations.bindings.html | 10 +- ...gistry_v1.projects.locations.services.html | 24 +- ...try_v1alpha.projects.locations.agents.html | 2 +- ...jects.locations.aiApplications.agents.html | 242 +++++++ ...ts.locations.aiApplications.endpoints.html | 186 ++++++ ...pha.projects.locations.aiApplications.html | 194 ++++++ ...s.locations.aiApplications.mcpServers.html | 212 ++++++ ...y_v1alpha.projects.locations.bindings.html | 10 +- ...y_v1alpha.projects.locations.services.html | 24 +- .../documents/agentregistry.v1.json | 577 ++++++++++++++++- .../documents/agentregistry.v1alpha.json | 607 +++++++++++++++++- 16 files changed, 2852 insertions(+), 48 deletions(-) create mode 100644 docs/dyn/agentregistry_v1.projects.locations.aiApplications.agents.html create mode 100644 docs/dyn/agentregistry_v1.projects.locations.aiApplications.endpoints.html create mode 100644 docs/dyn/agentregistry_v1.projects.locations.aiApplications.mcpServers.html create mode 100644 docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.agents.html create mode 100644 docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.endpoints.html create mode 100644 docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.mcpServers.html diff --git a/docs/dyn/agentregistry_v1.projects.locations.agents.html b/docs/dyn/agentregistry_v1.projects.locations.agents.html index 7709618dde..91e93514d2 100644 --- a/docs/dyn/agentregistry_v1.projects.locations.agents.html +++ b/docs/dyn/agentregistry_v1.projects.locations.agents.html @@ -259,7 +259,7 @@

Method Details

{ # Message for searching Agents "pageSize": 42, # Optional. The maximum number of search results to return per page. The page size is capped at `100`, even if a larger value is specified. A negative value will result in an `INVALID_ARGUMENT` error. If unspecified or set to `0`, a default value of `20` will be used. The server may return fewer results than requested. "pageToken": "A String", # Optional. If present, retrieve the next batch of results from the preceding call to this method. `page_token` must be the value of `next_page_token` from the previous response. The values of all other method parameters, must be identical to those in the previous call. - "searchString": "A String", # Optional. Search criteria used to select the Agents to return. If no search criteria is specified then all accessible Agents will be returned. Search expressions can be used to restrict results based upon searchable fields, where the operators can be used along with the suffix wildcard symbol `*`. See [instructions](https://docs.cloud.google.com/agent-registry/search-agents-and-tools) for more details. Allowed operators: `=`, `:`, `NOT`, `AND`, `OR`, and `()`. Searchable fields: | Field | `=` | `:` | `*` | Keyword Search | |--------------------|-----|-----|-----|----------------| | agentId | Yes | Yes | Yes | Included | | name | No | Yes | Yes | Included | | displayName | No | Yes | Yes | Included | | description | No | Yes | No | Included | | skills | No | Yes | No | Included | | skills.id | No | Yes | No | Included | | skills.name | No | Yes | No | Included | | skills.description | No | Yes | No | Included | | skills.tags | No | Yes | No | Included | | skills.examples | No | Yes | No | Included | Examples: * `agentId="urn:agent:projects-123:projects:123:locations:us-central1:reasoningEngines:1234"` to find the agent with the specified agent ID. * `name:important` to find agents whose name contains `important` as a word. * `displayName:works*` to find agents whose display name contains words that start with `works`. * `skills.tags:test` to find agents whose skills tags contain `test`. * `planner OR booking` to find agents whose metadata contains the words `planner` or `booking`. + "searchString": "A String", # Optional. Search criteria used to select the Agents to return. If no search criteria is specified then all accessible Agents will be returned. Search expressions can be used to restrict results based upon searchable fields, where the operators can be used along with the suffix wildcard symbol `*`. See [instructions](https://docs.cloud.google.com/agent-registry/search-agents-and-tools) for more details. Allowed operators: `=`, `:`, `NOT`, `AND`, `OR`, and `()`. Searchable fields: | Field | `=` | `:` | `*` | Keyword Search | |--------------------|-----|-----|-----|----------------| | agentId | Yes | Yes | Yes | Included | | name | No | Yes | Yes | Included | | displayName | No | Yes | Yes | Included | | description | No | Yes | No | Included | | skills | No | Yes | No | Included | | skills.id | No | Yes | No | Included | | skills.name | No | Yes | No | Included | | skills.description | No | Yes | No | Included | | skills.tags | No | Yes | No | Included | | skills.examples | No | Yes | No | Included | Examples: * `agentId="urn:agent:projects-123:projects:123:locations:us-central1:aiplatform:reasoningEngines:1234"` to find the agent with the specified agent ID. * `name:important` to find agents whose name contains `important` as a word. * `displayName:works*` to find agents whose display name contains words that start with `works`. * `skills.tags:test` to find agents whose skills tags contain `test`. * `planner OR booking` to find agents whose metadata contains the words `planner` or `booking`. } x__xgafv: string, V1 error format. diff --git a/docs/dyn/agentregistry_v1.projects.locations.aiApplications.agents.html b/docs/dyn/agentregistry_v1.projects.locations.aiApplications.agents.html new file mode 100644 index 0000000000..6eb512d73c --- /dev/null +++ b/docs/dyn/agentregistry_v1.projects.locations.aiApplications.agents.html @@ -0,0 +1,242 @@ + + + +

Agent Registry API . projects . locations . aiApplications . agents

+

Instance Methods

+

+ close()

+

Close httplib2 connections.

+

+ get(name, x__xgafv=None)

+

Gets details of a single Agent under an AI Application.

+

+ list(parent, pageSize=None, pageToken=None, x__xgafv=None)

+

Lists Agents under an AI Application.

+

+ list_next(previous_request, previous_response)

+

Retrieves the next page of results.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ +
+ get(name, x__xgafv=None) + 
Gets details of a single Agent under an AI Application.
+
+Args:
+  name: string, Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/agents/{agent}` (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an Agent. "A2A" below refers to the Agent-to-Agent protocol.
+  "agentId": "A String", # Output only. A stable, globally unique identifier for agents.
+  "attributes": { # Output only. Attributes of the Agent. Valid values: * `agentregistry.googleapis.com/system/Framework`: {"framework": "google-adk"} - the agent framework used to develop the Agent. Example values: "google-adk", "langchain", "custom". * `agentregistry.googleapis.com/system/RuntimeIdentity`: {"principal": "principal://..."} - the runtime identity associated with the Agent. * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the Agent, for example, the Reasoning Engine URI.
+    "a_key": {
+      "a_key": "", # Properties of the object.
+    },
+  },
+  "card": { # Full Agent Card payload, often obtained from the A2A Agent Card. # Output only. Full Agent Card payload, when available.
+    "content": { # Output only. The content of the agent card.
+      "a_key": "", # Properties of the object.
+    },
+    "type": "A String", # Output only. The type of agent card.
+  },
+  "createTime": "A String", # Output only. Create time.
+  "description": "A String", # Output only. The description of the Agent, often obtained from the A2A Agent Card. Empty if Agent Card has no description.
+  "displayName": "A String", # Output only. The display name of the agent, often obtained from the A2A Agent Card.
+  "location": "A String", # Output only. The location where agent is hosted. The value is defined by the hosting environment (i.e. cloud provider).
+  "name": "A String", # Identifier. The resource name of an Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
+  "protocols": [ # Output only. The connection details for the Agent.
+    { # Represents the protocol of an Agent.
+      "interfaces": [ # Output only. The connection details for the Agent.
+        { # Represents the connection details for an Agent or MCP Server.
+          "protocolBinding": "A String", # Required. The protocol binding of the interface.
+          "url": "A String", # Required. The destination URL.
+        },
+      ],
+      "protocolVersion": "A String", # Output only. The version of the protocol, for example, the A2A Agent Card version.
+      "type": "A String", # Output only. The type of the protocol.
+    },
+  ],
+  "skills": [ # Output only. Skills the agent possesses, often obtained from the A2A Agent Card.
+    { # Represents the skills of an Agent.
+      "description": "A String", # Output only. A more detailed description of the skill.
+      "examples": [ # Output only. Example prompts or scenarios this skill can handle.
+        "A String",
+      ],
+      "id": "A String", # Output only. A unique identifier for the agent's skill.
+      "name": "A String", # Output only. A human-readable name for the agent's skill.
+      "tags": [ # Output only. Keywords describing the skill.
+        "A String",
+      ],
+    },
+  ],
+  "uid": "A String", # Output only. A universally unique identifier for the Agent.
+  "updateTime": "A String", # Output only. Update time.
+  "version": "A String", # Output only. The version of the Agent, often obtained from the A2A Agent Card. Empty if Agent Card has no version or agent is not an A2A Agent.
+}
+
+ +
+ list(parent, pageSize=None, pageToken=None, x__xgafv=None) + 
Lists Agents under an AI Application.
+
+Args:
+  parent: string, Required. Parent value (AI Application) for ListAiApplicationAgentsRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}` (required)
+  pageSize: integer, Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
+  pageToken: string, Optional. A token identifying a page of results the server should return.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message for response to listing Agents under an AI Application.
+  "agents": [ # The list of Agents.
+    { # Represents an Agent. "A2A" below refers to the Agent-to-Agent protocol.
+      "agentId": "A String", # Output only. A stable, globally unique identifier for agents.
+      "attributes": { # Output only. Attributes of the Agent. Valid values: * `agentregistry.googleapis.com/system/Framework`: {"framework": "google-adk"} - the agent framework used to develop the Agent. Example values: "google-adk", "langchain", "custom". * `agentregistry.googleapis.com/system/RuntimeIdentity`: {"principal": "principal://..."} - the runtime identity associated with the Agent. * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the Agent, for example, the Reasoning Engine URI.
+        "a_key": {
+          "a_key": "", # Properties of the object.
+        },
+      },
+      "card": { # Full Agent Card payload, often obtained from the A2A Agent Card. # Output only. Full Agent Card payload, when available.
+        "content": { # Output only. The content of the agent card.
+          "a_key": "", # Properties of the object.
+        },
+        "type": "A String", # Output only. The type of agent card.
+      },
+      "createTime": "A String", # Output only. Create time.
+      "description": "A String", # Output only. The description of the Agent, often obtained from the A2A Agent Card. Empty if Agent Card has no description.
+      "displayName": "A String", # Output only. The display name of the agent, often obtained from the A2A Agent Card.
+      "location": "A String", # Output only. The location where agent is hosted. The value is defined by the hosting environment (i.e. cloud provider).
+      "name": "A String", # Identifier. The resource name of an Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
+      "protocols": [ # Output only. The connection details for the Agent.
+        { # Represents the protocol of an Agent.
+          "interfaces": [ # Output only. The connection details for the Agent.
+            { # Represents the connection details for an Agent or MCP Server.
+              "protocolBinding": "A String", # Required. The protocol binding of the interface.
+              "url": "A String", # Required. The destination URL.
+            },
+          ],
+          "protocolVersion": "A String", # Output only. The version of the protocol, for example, the A2A Agent Card version.
+          "type": "A String", # Output only. The type of the protocol.
+        },
+      ],
+      "skills": [ # Output only. Skills the agent possesses, often obtained from the A2A Agent Card.
+        { # Represents the skills of an Agent.
+          "description": "A String", # Output only. A more detailed description of the skill.
+          "examples": [ # Output only. Example prompts or scenarios this skill can handle.
+            "A String",
+          ],
+          "id": "A String", # Output only. A unique identifier for the agent's skill.
+          "name": "A String", # Output only. A human-readable name for the agent's skill.
+          "tags": [ # Output only. Keywords describing the skill.
+            "A String",
+          ],
+        },
+      ],
+      "uid": "A String", # Output only. A universally unique identifier for the Agent.
+      "updateTime": "A String", # Output only. Update time.
+      "version": "A String", # Output only. The version of the Agent, often obtained from the A2A Agent Card. Empty if Agent Card has no version or agent is not an A2A Agent.
+    },
+  ],
+  "nextPageToken": "A String", # A token identifying a page of results the server should return.
+}
+
+ +
+ list_next(previous_request, previous_response) + 
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+
+
+ + \ No newline at end of file diff --git a/docs/dyn/agentregistry_v1.projects.locations.aiApplications.endpoints.html b/docs/dyn/agentregistry_v1.projects.locations.aiApplications.endpoints.html new file mode 100644 index 0000000000..d474cd2707 --- /dev/null +++ b/docs/dyn/agentregistry_v1.projects.locations.aiApplications.endpoints.html @@ -0,0 +1,186 @@ + + + +

Agent Registry API . projects . locations . aiApplications . endpoints

+

Instance Methods

+

+ close()

+

Close httplib2 connections.

+

+ get(name, x__xgafv=None)

+

Gets details of a single Endpoint under an AI Application.

+

+ list(parent, pageSize=None, pageToken=None, x__xgafv=None)

+

Lists Endpoints under an AI Application.

+

+ list_next(previous_request, previous_response)

+

Retrieves the next page of results.

+

Method Details

+
+ close() + 
Close httplib2 connections.
+
+ +
+ get(name, x__xgafv=None) + 
Gets details of a single Endpoint under an AI Application.
+
+Args:
+  name: string, Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/endpoints/{endpoint}` (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an Endpoint.
+  "attributes": { # Output only. Attributes of the Endpoint. Valid values: * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the Endpoint, for example, the GKE Deployment.
+    "a_key": {
+      "a_key": "", # Properties of the object.
+    },
+  },
+  "createTime": "A String", # Output only. Create time.
+  "description": "A String", # Output only. Description of an Endpoint.
+  "displayName": "A String", # Output only. Display name for the Endpoint.
+  "endpointId": "A String", # Output only. A stable, globally unique identifier for Endpoint.
+  "interfaces": [ # Required. The connection details for the Endpoint.
+    { # Represents the connection details for an Agent or MCP Server.
+      "protocolBinding": "A String", # Required. The protocol binding of the interface.
+      "url": "A String", # Required. The destination URL.
+    },
+  ],
+  "name": "A String", # Identifier. The resource name of the Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+  "updateTime": "A String", # Output only. Update time.
+}
+
+ +
+ list(parent, pageSize=None, pageToken=None, x__xgafv=None) + 
Lists Endpoints under an AI Application.
+
+Args:
+  parent: string, Required. Parent value (AI Application) for ListAiApplicationEndpointsRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}` (required)
+  pageSize: integer, Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
+  pageToken: string, Optional. A token identifying a page of results the server should return.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message for response to listing Endpoints under an AI Application.
+  "endpoints": [ # The list of Endpoints.
+    { # Represents an Endpoint.
+      "attributes": { # Output only. Attributes of the Endpoint. Valid values: * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the Endpoint, for example, the GKE Deployment.
+        "a_key": {
+          "a_key": "", # Properties of the object.
+        },
+      },
+      "createTime": "A String", # Output only. Create time.
+      "description": "A String", # Output only. Description of an Endpoint.
+      "displayName": "A String", # Output only. Display name for the Endpoint.
+      "endpointId": "A String", # Output only. A stable, globally unique identifier for Endpoint.
+      "interfaces": [ # Required. The connection details for the Endpoint.
+        { # Represents the connection details for an Agent or MCP Server.
+          "protocolBinding": "A String", # Required. The protocol binding of the interface.
+          "url": "A String", # Required. The destination URL.
+        },
+      ],
+      "name": "A String", # Identifier. The resource name of the Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+      "updateTime": "A String", # Output only. Update time.
+    },
+  ],
+  "nextPageToken": "A String", # A token identifying a page of results the server should return.
+}
+
+ +
+ list_next(previous_request, previous_response) + 
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+
+
+ + \ No newline at end of file diff --git a/docs/dyn/agentregistry_v1.projects.locations.aiApplications.html b/docs/dyn/agentregistry_v1.projects.locations.aiApplications.html index 2e8953f6f1..60c54f6984 100644 --- a/docs/dyn/agentregistry_v1.projects.locations.aiApplications.html +++ b/docs/dyn/agentregistry_v1.projects.locations.aiApplications.html @@ -74,12 +74,36 @@

Agent Registry API . projects . locations . aiApplications

Instance Methods

+

+ agents() +

+

Returns the agents Resource.

+ +

+ endpoints() +

+

Returns the endpoints Resource.

+ +

+ mcpServers() +

+

Returns the mcpServers Resource.

+

close()

Close httplib2 connections.

+

+ get(name, x__xgafv=None)

+

Gets details of a single AI Application.

getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None)

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

+

+ list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)

+

Lists AI Applications in a given project and location.

+

+ list_next(previous_request, previous_response)

+

Retrieves the next page of results.

setIamPolicy(resource, body=None, x__xgafv=None)

Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.

@@ -92,6 +116,66 @@

Method Details

Close httplib2 connections.
+
+ get(name, x__xgafv=None) + 
Gets details of a single AI Application.
+
+Args:
+  name: string, Required. Target AI Application resource name. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}` (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an AI Application.
+  "applicationProperties": { # Additional system properties of an Application. # Output only. Properties of an underlying cloud resource that can comprise an AI Application.
+    "extendedMetadata": { # Output only. Additional metadata specific to the App Hub application. The key is a string that identifies the type of metadata and the value is the metadata contents specific to that type. Key format: `apphub.googleapis.com/{metadataType}`
+      "a_key": { # Additional metadata for a Service or Workload.
+        "metadataStruct": { # Output only. The metadata contents.
+          "a_key": "", # Properties of the object.
+        },
+      },
+    },
+  },
+  "attributes": { # Consumer provided attributes. # Optional. Consumer provided attributes.
+    "businessOwners": [ # Optional. Business team that ensures user needs are met and value is delivered
+      { # Contact information of stakeholders.
+        "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+        "email": "A String", # Required. Email address of the contacts.
+      },
+    ],
+    "criticality": { # Criticality of the Application, Service, or Workload # Optional. User-defined criticality information.
+      "type": "A String", # Required. Criticality Type.
+    },
+    "developerOwners": [ # Optional. Developer team that owns development and coding.
+      { # Contact information of stakeholders.
+        "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+        "email": "A String", # Required. Email address of the contacts.
+      },
+    ],
+    "environment": { # Environment of the Application, Service, or Workload # Optional. User-defined environment information.
+      "type": "A String", # Required. Environment Type.
+    },
+    "operatorOwners": [ # Optional. Operator team that ensures runtime and operations.
+      { # Contact information of stakeholders.
+        "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+        "email": "A String", # Required. Email address of the contacts.
+      },
+    ],
+  },
+  "createTime": "A String", # Output only. Creation time.
+  "description": "A String", # Optional. User-defined description of the AI Application.
+  "displayName": "A String", # Optional. User-defined name for the AI Application.
+  "name": "A String", # Identifier. Resource name of the AI Application. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`
+  "state": "A String", # Output only. The current state of the AI Application.
+  "uid": "A String", # Output only. Universally unique identifier (UUID4) for the AI Application.
+  "updateTime": "A String", # Output only. Last update time.
+}
+
+
getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None) 
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
@@ -140,6 +224,92 @@ 
Method Details

 }
+
+ list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None) + 
Lists AI Applications in a given project and location.
+
+Args:
+  parent: string, Required. Parent project and location to query. Format: `projects/{project}/locations/{location}` (required)
+  filter: string, Optional. Filtering results.
+  orderBy: string, Optional. Hint for how to order the results.
+  pageSize: integer, Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
+  pageToken: string, Optional. A token identifying a page of results the server should return.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message for response to listing AiApplications.
+  "aiApplications": [ # The list of AiApplications.
+    { # Represents an AI Application.
+      "applicationProperties": { # Additional system properties of an Application. # Output only. Properties of an underlying cloud resource that can comprise an AI Application.
+        "extendedMetadata": { # Output only. Additional metadata specific to the App Hub application. The key is a string that identifies the type of metadata and the value is the metadata contents specific to that type. Key format: `apphub.googleapis.com/{metadataType}`
+          "a_key": { # Additional metadata for a Service or Workload.
+            "metadataStruct": { # Output only. The metadata contents.
+              "a_key": "", # Properties of the object.
+            },
+          },
+        },
+      },
+      "attributes": { # Consumer provided attributes. # Optional. Consumer provided attributes.
+        "businessOwners": [ # Optional. Business team that ensures user needs are met and value is delivered
+          { # Contact information of stakeholders.
+            "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+            "email": "A String", # Required. Email address of the contacts.
+          },
+        ],
+        "criticality": { # Criticality of the Application, Service, or Workload # Optional. User-defined criticality information.
+          "type": "A String", # Required. Criticality Type.
+        },
+        "developerOwners": [ # Optional. Developer team that owns development and coding.
+          { # Contact information of stakeholders.
+            "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+            "email": "A String", # Required. Email address of the contacts.
+          },
+        ],
+        "environment": { # Environment of the Application, Service, or Workload # Optional. User-defined environment information.
+          "type": "A String", # Required. Environment Type.
+        },
+        "operatorOwners": [ # Optional. Operator team that ensures runtime and operations.
+          { # Contact information of stakeholders.
+            "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+            "email": "A String", # Required. Email address of the contacts.
+          },
+        ],
+      },
+      "createTime": "A String", # Output only. Creation time.
+      "description": "A String", # Optional. User-defined description of the AI Application.
+      "displayName": "A String", # Optional. User-defined name for the AI Application.
+      "name": "A String", # Identifier. Resource name of the AI Application. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`
+      "state": "A String", # Output only. The current state of the AI Application.
+      "uid": "A String", # Output only. Universally unique identifier (UUID4) for the AI Application.
+      "updateTime": "A String", # Output only. Last update time.
+    },
+  ],
+  "nextPageToken": "A String", # A token identifying a page of results the server should return.
+  "unreachable": [ # Unordered list. Locations that could not be reached.
+    "A String",
+  ],
+}
+
+ +
+ list_next(previous_request, previous_response) + 
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+
+
+
setIamPolicy(resource, body=None, x__xgafv=None) 
Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.
diff --git a/docs/dyn/agentregistry_v1.projects.locations.aiApplications.mcpServers.html b/docs/dyn/agentregistry_v1.projects.locations.aiApplications.mcpServers.html
new file mode 100644
index 0000000000..9fb7069960
--- /dev/null
+++ b/docs/dyn/agentregistry_v1.projects.locations.aiApplications.mcpServers.html
@@ -0,0 +1,212 @@
+
+
+
+
Agent Registry API . projects . locations . aiApplications . mcpServers

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets details of a single McpServer under an AI Application.

+

+  list(parent, pageSize=None, pageToken=None, x__xgafv=None)

+
Lists McpServers under an AI Application.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    get(name, x__xgafv=None)
+  
Gets details of a single McpServer under an AI Application.
+
+Args:
+  name: string, Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/mcpServers/{mcp_server}` (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an MCP (Model Context Protocol) Server.
+  "attributes": { # Output only. Attributes of the MCP Server. Valid values: * `agentregistry.googleapis.com/system/RuntimeIdentity`: {"principal": "principal://..."} - the runtime identity associated with the MCP Server. * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the MCP Server, for example, the GKE Deployment.
+    "a_key": {
+      "a_key": "", # Properties of the object.
+    },
+  },
+  "createTime": "A String", # Output only. Create time.
+  "description": "A String", # Output only. The description of the MCP Server.
+  "displayName": "A String", # Output only. The display name of the MCP Server.
+  "interfaces": [ # Output only. The connection details for the MCP Server.
+    { # Represents the connection details for an Agent or MCP Server.
+      "protocolBinding": "A String", # Required. The protocol binding of the interface.
+      "url": "A String", # Required. The destination URL.
+    },
+  ],
+  "mcpServerId": "A String", # Output only. A stable, globally unique identifier for MCP Servers.
+  "name": "A String", # Identifier. The resource name of the MCP Server. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`.
+  "tools": [ # Output only. Tools provided by the MCP Server.
+    { # Represents a single tool provided by an MCP Server.
+      "annotations": { # Annotations describing the characteristics and behavior of a tool or operation. # Output only. Annotations associated with the tool.
+        "destructiveHint": True or False, # Output only. If true, the tool may perform destructive updates to its environment. If false, the tool performs only additive updates. NOTE: This property is meaningful only when `read_only_hint == false` Default: true
+        "idempotentHint": True or False, # Output only. If true, calling the tool repeatedly with the same arguments will have no additional effect on its environment. NOTE: This property is meaningful only when `read_only_hint == false` Default: false
+        "openWorldHint": True or False, # Output only. If true, this tool may interact with an "open world" of external entities. If false, the tool's domain of interaction is closed. For example, the world of a web search tool is open, whereas that of a memory tool is not. Default: true
+        "readOnlyHint": True or False, # Output only. If true, the tool does not modify its environment. Default: false
+        "title": "A String", # Output only. A human-readable title for the tool.
+      },
+      "description": "A String", # Output only. Description of what the tool does.
+      "name": "A String", # Output only. Human-readable name of the tool.
+    },
+  ],
+  "updateTime": "A String", # Output only. Update time.
+}

+

+
+

+    list(parent, pageSize=None, pageToken=None, x__xgafv=None)
+  
Lists McpServers under an AI Application.
+
+Args:
+  parent: string, Required. Parent value (AI Application) for ListAiApplicationMcpServersRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}` (required)
+  pageSize: integer, Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
+  pageToken: string, Optional. A token identifying a page of results the server should return.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message for response to listing McpServers under an AI Application.
+  "mcpServers": [ # The list of McpServers.
+    { # Represents an MCP (Model Context Protocol) Server.
+      "attributes": { # Output only. Attributes of the MCP Server. Valid values: * `agentregistry.googleapis.com/system/RuntimeIdentity`: {"principal": "principal://..."} - the runtime identity associated with the MCP Server. * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the MCP Server, for example, the GKE Deployment.
+        "a_key": {
+          "a_key": "", # Properties of the object.
+        },
+      },
+      "createTime": "A String", # Output only. Create time.
+      "description": "A String", # Output only. The description of the MCP Server.
+      "displayName": "A String", # Output only. The display name of the MCP Server.
+      "interfaces": [ # Output only. The connection details for the MCP Server.
+        { # Represents the connection details for an Agent or MCP Server.
+          "protocolBinding": "A String", # Required. The protocol binding of the interface.
+          "url": "A String", # Required. The destination URL.
+        },
+      ],
+      "mcpServerId": "A String", # Output only. A stable, globally unique identifier for MCP Servers.
+      "name": "A String", # Identifier. The resource name of the MCP Server. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`.
+      "tools": [ # Output only. Tools provided by the MCP Server.
+        { # Represents a single tool provided by an MCP Server.
+          "annotations": { # Annotations describing the characteristics and behavior of a tool or operation. # Output only. Annotations associated with the tool.
+            "destructiveHint": True or False, # Output only. If true, the tool may perform destructive updates to its environment. If false, the tool performs only additive updates. NOTE: This property is meaningful only when `read_only_hint == false` Default: true
+            "idempotentHint": True or False, # Output only. If true, calling the tool repeatedly with the same arguments will have no additional effect on its environment. NOTE: This property is meaningful only when `read_only_hint == false` Default: false
+            "openWorldHint": True or False, # Output only. If true, this tool may interact with an "open world" of external entities. If false, the tool's domain of interaction is closed. For example, the world of a web search tool is open, whereas that of a memory tool is not. Default: true
+            "readOnlyHint": True or False, # Output only. If true, the tool does not modify its environment. Default: false
+            "title": "A String", # Output only. A human-readable title for the tool.
+          },
+          "description": "A String", # Output only. Description of what the tool does.
+          "name": "A String", # Output only. Human-readable name of the tool.
+        },
+      ],
+      "updateTime": "A String", # Output only. Update time.
+    },
+  ],
+  "nextPageToken": "A String", # A token identifying a page of results the server should return.
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/agentregistry_v1.projects.locations.bindings.html b/docs/dyn/agentregistry_v1.projects.locations.bindings.html
index 0e3fe1db1c..389e01e8a8 100644
--- a/docs/dyn/agentregistry_v1.projects.locations.bindings.html
+++ b/docs/dyn/agentregistry_v1.projects.locations.bindings.html
@@ -128,7 +128,7 @@ 
Method Details

   "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
   "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
   "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-  "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+  "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
     "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
   },
   "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
@@ -236,7 +236,7 @@ 
Method Details

       "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
       "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
       "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-      "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+      "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
         "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
       },
       "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
@@ -289,7 +289,7 @@ 
Method Details

   "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
   "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
   "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-  "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+  "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
     "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
   },
   "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
@@ -331,7 +331,7 @@ 
Method Details

       "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
       "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
       "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-      "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+      "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
         "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
       },
       "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
@@ -379,7 +379,7 @@ 
Method Details

   "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
   "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
   "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-  "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+  "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
     "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
   },
   "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
diff --git a/docs/dyn/agentregistry_v1.projects.locations.services.html b/docs/dyn/agentregistry_v1.projects.locations.services.html
index 5818ce7fd7..abc4916585 100644
--- a/docs/dyn/agentregistry_v1.projects.locations.services.html
+++ b/docs/dyn/agentregistry_v1.projects.locations.services.html
@@ -115,7 +115,7 @@ 
Method Details

     "content": { # Optional. The content of the Agent spec in the JSON format. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the agent spec content.
+    "type": "A String", # Required. Immutable. The type of the agent spec content.
   },
   "createTime": "A String", # Output only. Create time.
   "description": "A String", # Optional. User-defined description of an Service. Can have a maximum length of `2048` characters.
@@ -124,7 +124,7 @@ 
Method Details

     "content": { # Optional. The content of the endpoint spec. Reserved for future use.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the endpoint spec content.
+    "type": "A String", # Required. Immutable. The type of the endpoint spec content.
   },
   "interfaces": [ # Optional. The connection details for the Service.
     { # Represents the connection details for an Agent or MCP Server.
@@ -136,7 +136,7 @@ 
Method Details

     "content": { # Optional. The content of the MCP Server spec. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the MCP Server spec content.
+    "type": "A String", # Required. Immutable. The type of the MCP Server spec content.
   },
   "name": "A String", # Identifier. The resource name of the Service. Format: `projects/{project}/locations/{location}/services/{service}`.
   "registryResource": "A String", # Output only. The resource name of the resulting Agent, MCP Server, or Endpoint. Format: * `projects/{project}/locations/{location}/mcpServers/{mcp_server}` * `projects/{project}/locations/{location}/agents/{agent}` * `projects/{project}/locations/{location}/endpoints/{endpoint}`
@@ -229,7 +229,7 @@ 
Method Details

     "content": { # Optional. The content of the Agent spec in the JSON format. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the agent spec content.
+    "type": "A String", # Required. Immutable. The type of the agent spec content.
   },
   "createTime": "A String", # Output only. Create time.
   "description": "A String", # Optional. User-defined description of an Service. Can have a maximum length of `2048` characters.
@@ -238,7 +238,7 @@ 
Method Details

     "content": { # Optional. The content of the endpoint spec. Reserved for future use.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the endpoint spec content.
+    "type": "A String", # Required. Immutable. The type of the endpoint spec content.
   },
   "interfaces": [ # Optional. The connection details for the Service.
     { # Represents the connection details for an Agent or MCP Server.
@@ -250,7 +250,7 @@ 
Method Details

     "content": { # Optional. The content of the MCP Server spec. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the MCP Server spec content.
+    "type": "A String", # Required. Immutable. The type of the MCP Server spec content.
   },
   "name": "A String", # Identifier. The resource name of the Service. Format: `projects/{project}/locations/{location}/services/{service}`.
   "registryResource": "A String", # Output only. The resource name of the resulting Agent, MCP Server, or Endpoint. Format: * `projects/{project}/locations/{location}/mcpServers/{mcp_server}` * `projects/{project}/locations/{location}/agents/{agent}` * `projects/{project}/locations/{location}/endpoints/{endpoint}`
@@ -283,7 +283,7 @@ 
Method Details

         "content": { # Optional. The content of the Agent spec in the JSON format. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
           "a_key": "", # Properties of the object.
         },
-        "type": "A String", # Required. The type of the agent spec content.
+        "type": "A String", # Required. Immutable. The type of the agent spec content.
       },
       "createTime": "A String", # Output only. Create time.
       "description": "A String", # Optional. User-defined description of an Service. Can have a maximum length of `2048` characters.
@@ -292,7 +292,7 @@ 
Method Details

         "content": { # Optional. The content of the endpoint spec. Reserved for future use.
           "a_key": "", # Properties of the object.
         },
-        "type": "A String", # Required. The type of the endpoint spec content.
+        "type": "A String", # Required. Immutable. The type of the endpoint spec content.
       },
       "interfaces": [ # Optional. The connection details for the Service.
         { # Represents the connection details for an Agent or MCP Server.
@@ -304,7 +304,7 @@ 
Method Details

         "content": { # Optional. The content of the MCP Server spec. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
           "a_key": "", # Properties of the object.
         },
-        "type": "A String", # Required. The type of the MCP Server spec content.
+        "type": "A String", # Required. Immutable. The type of the MCP Server spec content.
       },
       "name": "A String", # Identifier. The resource name of the Service. Format: `projects/{project}/locations/{location}/services/{service}`.
       "registryResource": "A String", # Output only. The resource name of the resulting Agent, MCP Server, or Endpoint. Format: * `projects/{project}/locations/{location}/mcpServers/{mcp_server}` * `projects/{project}/locations/{location}/agents/{agent}` * `projects/{project}/locations/{location}/endpoints/{endpoint}`
@@ -342,7 +342,7 @@ 
Method Details

     "content": { # Optional. The content of the Agent spec in the JSON format. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the agent spec content.
+    "type": "A String", # Required. Immutable. The type of the agent spec content.
   },
   "createTime": "A String", # Output only. Create time.
   "description": "A String", # Optional. User-defined description of an Service. Can have a maximum length of `2048` characters.
@@ -351,7 +351,7 @@ 
Method Details

     "content": { # Optional. The content of the endpoint spec. Reserved for future use.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the endpoint spec content.
+    "type": "A String", # Required. Immutable. The type of the endpoint spec content.
   },
   "interfaces": [ # Optional. The connection details for the Service.
     { # Represents the connection details for an Agent or MCP Server.
@@ -363,7 +363,7 @@ 
Method Details

     "content": { # Optional. The content of the MCP Server spec. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the MCP Server spec content.
+    "type": "A String", # Required. Immutable. The type of the MCP Server spec content.
   },
   "name": "A String", # Identifier. The resource name of the Service. Format: `projects/{project}/locations/{location}/services/{service}`.
   "registryResource": "A String", # Output only. The resource name of the resulting Agent, MCP Server, or Endpoint. Format: * `projects/{project}/locations/{location}/mcpServers/{mcp_server}` * `projects/{project}/locations/{location}/agents/{agent}` * `projects/{project}/locations/{location}/endpoints/{endpoint}`
diff --git a/docs/dyn/agentregistry_v1alpha.projects.locations.agents.html b/docs/dyn/agentregistry_v1alpha.projects.locations.agents.html
index 16eef2aac2..9720428639 100644
--- a/docs/dyn/agentregistry_v1alpha.projects.locations.agents.html
+++ b/docs/dyn/agentregistry_v1alpha.projects.locations.agents.html
@@ -259,7 +259,7 @@ 
Method Details

 { # Message for searching Agents
   "pageSize": 42, # Optional. The maximum number of search results to return per page. The page size is capped at `100`, even if a larger value is specified. A negative value will result in an `INVALID_ARGUMENT` error. If unspecified or set to `0`, a default value of `20` will be used. The server may return fewer results than requested.
   "pageToken": "A String", # Optional. If present, retrieve the next batch of results from the preceding call to this method. `page_token` must be the value of `next_page_token` from the previous response. The values of all other method parameters, must be identical to those in the previous call.
-  "searchString": "A String", # Optional. Search criteria used to select the Agents to return. If no search criteria is specified then all accessible Agents will be returned. Search expressions can be used to restrict results based upon searchable fields, where the operators can be used along with the suffix wildcard symbol `*`. See [instructions](https://docs.cloud.google.com/agent-registry/search-agents-and-tools) for more details. Allowed operators: `=`, `:`, `NOT`, `AND`, `OR`, and `()`. Searchable fields: | Field | `=` | `:` | `*` | Keyword Search | |--------------------|-----|-----|-----|----------------| | agentId | Yes | Yes | Yes | Included | | name | No | Yes | Yes | Included | | displayName | No | Yes | Yes | Included | | description | No | Yes | No | Included | | skills | No | Yes | No | Included | | skills.id | No | Yes | No | Included | | skills.name | No | Yes | No | Included | | skills.description | No | Yes | No | Included | | skills.tags | No | Yes | No | Included | | skills.examples | No | Yes | No | Included | Examples: * `agentId="urn:agent:projects-123:projects:123:locations:us-central1:reasoningEngines:1234"` to find the agent with the specified agent ID. * `name:important` to find agents whose name contains `important` as a word. * `displayName:works*` to find agents whose display name contains words that start with `works`. * `skills.tags:test` to find agents whose skills tags contain `test`. * `planner OR booking` to find agents whose metadata contains the words `planner` or `booking`.
+  "searchString": "A String", # Optional. Search criteria used to select the Agents to return. If no search criteria is specified then all accessible Agents will be returned. Search expressions can be used to restrict results based upon searchable fields, where the operators can be used along with the suffix wildcard symbol `*`. See [instructions](https://docs.cloud.google.com/agent-registry/search-agents-and-tools) for more details. Allowed operators: `=`, `:`, `NOT`, `AND`, `OR`, and `()`. Searchable fields: | Field | `=` | `:` | `*` | Keyword Search | |--------------------|-----|-----|-----|----------------| | agentId | Yes | Yes | Yes | Included | | name | No | Yes | Yes | Included | | displayName | No | Yes | Yes | Included | | description | No | Yes | No | Included | | skills | No | Yes | No | Included | | skills.id | No | Yes | No | Included | | skills.name | No | Yes | No | Included | | skills.description | No | Yes | No | Included | | skills.tags | No | Yes | No | Included | | skills.examples | No | Yes | No | Included | Examples: * `agentId="urn:agent:projects-123:projects:123:locations:us-central1:aiplatform:reasoningEngines:1234"` to find the agent with the specified agent ID. * `name:important` to find agents whose name contains `important` as a word. * `displayName:works*` to find agents whose display name contains words that start with `works`. * `skills.tags:test` to find agents whose skills tags contain `test`. * `planner OR booking` to find agents whose metadata contains the words `planner` or `booking`.
 }
 
   x__xgafv: string, V1 error format.
diff --git a/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.agents.html b/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.agents.html
new file mode 100644
index 0000000000..360a39d8bb
--- /dev/null
+++ b/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.agents.html
@@ -0,0 +1,242 @@
+
+
+
+
Agent Registry API . projects . locations . aiApplications . agents

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets details of a single Agent under an AI Application.

+

+  list(parent, pageSize=None, pageToken=None, x__xgafv=None)

+
Lists Agents under an AI Application.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    get(name, x__xgafv=None)
+  
Gets details of a single Agent under an AI Application.
+
+Args:
+  name: string, Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/agents/{agent}` (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an Agent. "A2A" below refers to the Agent-to-Agent protocol.
+  "agentId": "A String", # Output only. A stable, globally unique identifier for agents.
+  "attributes": { # Output only. Attributes of the Agent. Valid values: * `agentregistry.googleapis.com/system/Framework`: {"framework": "google-adk"} - the agent framework used to develop the Agent. Example values: "google-adk", "langchain", "custom". * `agentregistry.googleapis.com/system/RuntimeIdentity`: {"principal": "principal://..."} - the runtime identity associated with the Agent. * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the Agent, for example, the Reasoning Engine URI.
+    "a_key": {
+      "a_key": "", # Properties of the object.
+    },
+  },
+  "card": { # Full Agent Card payload, often obtained from the A2A Agent Card. # Output only. Full Agent Card payload, when available.
+    "content": { # Output only. The content of the agent card.
+      "a_key": "", # Properties of the object.
+    },
+    "type": "A String", # Output only. The type of agent card.
+  },
+  "createTime": "A String", # Output only. Create time.
+  "description": "A String", # Output only. The description of the Agent, often obtained from the A2A Agent Card. Empty if Agent Card has no description.
+  "displayName": "A String", # Output only. The display name of the agent, often obtained from the A2A Agent Card.
+  "location": "A String", # Output only. The location where agent is hosted. The value is defined by the hosting environment (i.e. cloud provider).
+  "name": "A String", # Identifier. The resource name of an Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
+  "protocols": [ # Output only. The connection details for the Agent.
+    { # Represents the protocol of an Agent.
+      "interfaces": [ # Output only. The connection details for the Agent.
+        { # Represents the connection details for an Agent or MCP Server.
+          "protocolBinding": "A String", # Required. The protocol binding of the interface.
+          "url": "A String", # Required. The destination URL.
+        },
+      ],
+      "protocolVersion": "A String", # Output only. The version of the protocol, for example, the A2A Agent Card version.
+      "type": "A String", # Output only. The type of the protocol.
+    },
+  ],
+  "skills": [ # Output only. Skills the agent possesses, often obtained from the A2A Agent Card.
+    { # Represents the skills of an Agent.
+      "description": "A String", # Output only. A more detailed description of the skill.
+      "examples": [ # Output only. Example prompts or scenarios this skill can handle.
+        "A String",
+      ],
+      "id": "A String", # Output only. A unique identifier for the agent's skill.
+      "name": "A String", # Output only. A human-readable name for the agent's skill.
+      "tags": [ # Output only. Keywords describing the skill.
+        "A String",
+      ],
+    },
+  ],
+  "uid": "A String", # Output only. A universally unique identifier for the Agent.
+  "updateTime": "A String", # Output only. Update time.
+  "version": "A String", # Output only. The version of the Agent, often obtained from the A2A Agent Card. Empty if Agent Card has no version or agent is not an A2A Agent.
+}

+

+
+

+    list(parent, pageSize=None, pageToken=None, x__xgafv=None)
+  
Lists Agents under an AI Application.
+
+Args:
+  parent: string, Required. Parent value (AI Application) for ListAiApplicationAgentsRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}` (required)
+  pageSize: integer, Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
+  pageToken: string, Optional. A token identifying a page of results the server should return.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message for response to listing Agents under an AI Application.
+  "agents": [ # The list of Agents.
+    { # Represents an Agent. "A2A" below refers to the Agent-to-Agent protocol.
+      "agentId": "A String", # Output only. A stable, globally unique identifier for agents.
+      "attributes": { # Output only. Attributes of the Agent. Valid values: * `agentregistry.googleapis.com/system/Framework`: {"framework": "google-adk"} - the agent framework used to develop the Agent. Example values: "google-adk", "langchain", "custom". * `agentregistry.googleapis.com/system/RuntimeIdentity`: {"principal": "principal://..."} - the runtime identity associated with the Agent. * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the Agent, for example, the Reasoning Engine URI.
+        "a_key": {
+          "a_key": "", # Properties of the object.
+        },
+      },
+      "card": { # Full Agent Card payload, often obtained from the A2A Agent Card. # Output only. Full Agent Card payload, when available.
+        "content": { # Output only. The content of the agent card.
+          "a_key": "", # Properties of the object.
+        },
+        "type": "A String", # Output only. The type of agent card.
+      },
+      "createTime": "A String", # Output only. Create time.
+      "description": "A String", # Output only. The description of the Agent, often obtained from the A2A Agent Card. Empty if Agent Card has no description.
+      "displayName": "A String", # Output only. The display name of the agent, often obtained from the A2A Agent Card.
+      "location": "A String", # Output only. The location where agent is hosted. The value is defined by the hosting environment (i.e. cloud provider).
+      "name": "A String", # Identifier. The resource name of an Agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
+      "protocols": [ # Output only. The connection details for the Agent.
+        { # Represents the protocol of an Agent.
+          "interfaces": [ # Output only. The connection details for the Agent.
+            { # Represents the connection details for an Agent or MCP Server.
+              "protocolBinding": "A String", # Required. The protocol binding of the interface.
+              "url": "A String", # Required. The destination URL.
+            },
+          ],
+          "protocolVersion": "A String", # Output only. The version of the protocol, for example, the A2A Agent Card version.
+          "type": "A String", # Output only. The type of the protocol.
+        },
+      ],
+      "skills": [ # Output only. Skills the agent possesses, often obtained from the A2A Agent Card.
+        { # Represents the skills of an Agent.
+          "description": "A String", # Output only. A more detailed description of the skill.
+          "examples": [ # Output only. Example prompts or scenarios this skill can handle.
+            "A String",
+          ],
+          "id": "A String", # Output only. A unique identifier for the agent's skill.
+          "name": "A String", # Output only. A human-readable name for the agent's skill.
+          "tags": [ # Output only. Keywords describing the skill.
+            "A String",
+          ],
+        },
+      ],
+      "uid": "A String", # Output only. A universally unique identifier for the Agent.
+      "updateTime": "A String", # Output only. Update time.
+      "version": "A String", # Output only. The version of the Agent, often obtained from the A2A Agent Card. Empty if Agent Card has no version or agent is not an A2A Agent.
+    },
+  ],
+  "nextPageToken": "A String", # A token identifying a page of results the server should return.
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.endpoints.html b/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.endpoints.html
new file mode 100644
index 0000000000..600eb1bd57
--- /dev/null
+++ b/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.endpoints.html
@@ -0,0 +1,186 @@
+
+
+
+
Agent Registry API . projects . locations . aiApplications . endpoints

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets details of a single Endpoint under an AI Application.

+

+  list(parent, pageSize=None, pageToken=None, x__xgafv=None)

+
Lists Endpoints under an AI Application.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    get(name, x__xgafv=None)
+  
Gets details of a single Endpoint under an AI Application.
+
+Args:
+  name: string, Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/endpoints/{endpoint}` (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an Endpoint.
+  "attributes": { # Output only. Attributes of the Endpoint. Valid values: * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the Endpoint, for example, the GKE Deployment.
+    "a_key": {
+      "a_key": "", # Properties of the object.
+    },
+  },
+  "createTime": "A String", # Output only. Create time.
+  "description": "A String", # Output only. Description of an Endpoint.
+  "displayName": "A String", # Output only. Display name for the Endpoint.
+  "endpointId": "A String", # Output only. A stable, globally unique identifier for Endpoint.
+  "interfaces": [ # Required. The connection details for the Endpoint.
+    { # Represents the connection details for an Agent or MCP Server.
+      "protocolBinding": "A String", # Required. The protocol binding of the interface.
+      "url": "A String", # Required. The destination URL.
+    },
+  ],
+  "name": "A String", # Identifier. The resource name of the Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+  "updateTime": "A String", # Output only. Update time.
+}

+

+
+

+    list(parent, pageSize=None, pageToken=None, x__xgafv=None)
+  
Lists Endpoints under an AI Application.
+
+Args:
+  parent: string, Required. Parent value (AI Application) for ListAiApplicationEndpointsRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}` (required)
+  pageSize: integer, Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
+  pageToken: string, Optional. A token identifying a page of results the server should return.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message for response to listing Endpoints under an AI Application.
+  "endpoints": [ # The list of Endpoints.
+    { # Represents an Endpoint.
+      "attributes": { # Output only. Attributes of the Endpoint. Valid values: * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the Endpoint, for example, the GKE Deployment.
+        "a_key": {
+          "a_key": "", # Properties of the object.
+        },
+      },
+      "createTime": "A String", # Output only. Create time.
+      "description": "A String", # Output only. Description of an Endpoint.
+      "displayName": "A String", # Output only. Display name for the Endpoint.
+      "endpointId": "A String", # Output only. A stable, globally unique identifier for Endpoint.
+      "interfaces": [ # Required. The connection details for the Endpoint.
+        { # Represents the connection details for an Agent or MCP Server.
+          "protocolBinding": "A String", # Required. The protocol binding of the interface.
+          "url": "A String", # Required. The destination URL.
+        },
+      ],
+      "name": "A String", # Identifier. The resource name of the Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+      "updateTime": "A String", # Output only. Update time.
+    },
+  ],
+  "nextPageToken": "A String", # A token identifying a page of results the server should return.
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.html b/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.html
index 10caa9bff9..a662a23753 100644
--- a/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.html
+++ b/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.html
@@ -74,12 +74,36 @@
 
 
Agent Registry API . projects . locations . aiApplications

 
Instance Methods

+

+  agents()
+

+
Returns the agents Resource.

+
+

+  endpoints()
+

+
Returns the endpoints Resource.

+
+

+  mcpServers()
+

+
Returns the mcpServers Resource.

+
 

   close()

 
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets details of a single AI Application.

 

   getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None)

 
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

+

+  list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)

+
Lists AI Applications in a given project and location.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

 

   setIamPolicy(resource, body=None, x__xgafv=None)

 
Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.

@@ -92,6 +116,78 @@ 
Method Details

   
Close httplib2 connections.
+
+ get(name, x__xgafv=None) + 
Gets details of a single AI Application.
+
+Args:
+  name: string, Required. Target AI Application resource name. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}` (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an AI Application.
+  "applicationProperties": { # Additional system properties of an Application. # Output only. Properties of an underlying cloud resource that can comprise an AI Application.
+    "extendedMetadata": { # Output only. Additional metadata specific to the App Hub application. The key is a string that identifies the type of metadata and the value is the metadata contents specific to that type. Key format: `apphub.googleapis.com/{metadataType}`
+      "a_key": { # Additional metadata for a Service or Workload.
+        "metadataStruct": { # Output only. The metadata contents.
+          "a_key": "", # Properties of the object.
+        },
+      },
+    },
+  },
+  "attributes": { # Consumer provided attributes. # Optional. Consumer provided attributes.
+    "businessOwners": [ # Optional. Business team that ensures user needs are met and value is delivered
+      { # Contact information of stakeholders.
+        "channel": { # Separate message to accommodate custom formats across IRC and Slack. # Optional. Communication channel of the contacts.
+          "uri": "A String", # Required. URI of the channel.
+        },
+        "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+        "email": "A String", # Required. Email address of the contacts.
+      },
+    ],
+    "criticality": { # Criticality of the Application, Service, or Workload # Optional. User-defined criticality information.
+      "level": "A String", # Optional. Criticality level. Can contain only lowercase letters, numeric characters, underscores, and dashes. Can have a maximum length of 63 characters. Deprecated: Please refer to type instead.
+      "missionCritical": True or False, # Optional. Indicates mission-critical Application, Service, or Workload. Deprecated: Please refer to type instead.
+      "type": "A String", # Required. Criticality Type.
+    },
+    "developerOwners": [ # Optional. Developer team that owns development and coding.
+      { # Contact information of stakeholders.
+        "channel": { # Separate message to accommodate custom formats across IRC and Slack. # Optional. Communication channel of the contacts.
+          "uri": "A String", # Required. URI of the channel.
+        },
+        "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+        "email": "A String", # Required. Email address of the contacts.
+      },
+    ],
+    "environment": { # Environment of the Application, Service, or Workload # Optional. User-defined environment information.
+      "environment": "A String", # Optional. Environment name. Can contain only lowercase letters, numeric characters, underscores, and dashes. Can have a maximum length of 63 characters. Deprecated: Please refer to type instead.
+      "type": "A String", # Required. Environment Type.
+    },
+    "operatorOwners": [ # Optional. Operator team that ensures runtime and operations.
+      { # Contact information of stakeholders.
+        "channel": { # Separate message to accommodate custom formats across IRC and Slack. # Optional. Communication channel of the contacts.
+          "uri": "A String", # Required. URI of the channel.
+        },
+        "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+        "email": "A String", # Required. Email address of the contacts.
+      },
+    ],
+  },
+  "createTime": "A String", # Output only. Creation time.
+  "description": "A String", # Optional. User-defined description of the AI Application.
+  "displayName": "A String", # Optional. User-defined name for the AI Application.
+  "name": "A String", # Identifier. Resource name of the AI Application. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`
+  "state": "A String", # Output only. The current state of the AI Application.
+  "uid": "A String", # Output only. Universally unique identifier (UUID4) for the AI Application.
+  "updateTime": "A String", # Output only. Last update time.
+}
+
+
getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None) 
Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
@@ -140,6 +236,104 @@ 
Method Details

 }
+
+ list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None) + 
Lists AI Applications in a given project and location.
+
+Args:
+  parent: string, Required. Parent project and location to query. Format: `projects/{project}/locations/{location}` (required)
+  filter: string, Optional. Filtering results.
+  orderBy: string, Optional. Hint for how to order the results.
+  pageSize: integer, Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
+  pageToken: string, Optional. A token identifying a page of results the server should return.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message for response to listing AiApplications.
+  "aiApplications": [ # The list of AiApplications.
+    { # Represents an AI Application.
+      "applicationProperties": { # Additional system properties of an Application. # Output only. Properties of an underlying cloud resource that can comprise an AI Application.
+        "extendedMetadata": { # Output only. Additional metadata specific to the App Hub application. The key is a string that identifies the type of metadata and the value is the metadata contents specific to that type. Key format: `apphub.googleapis.com/{metadataType}`
+          "a_key": { # Additional metadata for a Service or Workload.
+            "metadataStruct": { # Output only. The metadata contents.
+              "a_key": "", # Properties of the object.
+            },
+          },
+        },
+      },
+      "attributes": { # Consumer provided attributes. # Optional. Consumer provided attributes.
+        "businessOwners": [ # Optional. Business team that ensures user needs are met and value is delivered
+          { # Contact information of stakeholders.
+            "channel": { # Separate message to accommodate custom formats across IRC and Slack. # Optional. Communication channel of the contacts.
+              "uri": "A String", # Required. URI of the channel.
+            },
+            "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+            "email": "A String", # Required. Email address of the contacts.
+          },
+        ],
+        "criticality": { # Criticality of the Application, Service, or Workload # Optional. User-defined criticality information.
+          "level": "A String", # Optional. Criticality level. Can contain only lowercase letters, numeric characters, underscores, and dashes. Can have a maximum length of 63 characters. Deprecated: Please refer to type instead.
+          "missionCritical": True or False, # Optional. Indicates mission-critical Application, Service, or Workload. Deprecated: Please refer to type instead.
+          "type": "A String", # Required. Criticality Type.
+        },
+        "developerOwners": [ # Optional. Developer team that owns development and coding.
+          { # Contact information of stakeholders.
+            "channel": { # Separate message to accommodate custom formats across IRC and Slack. # Optional. Communication channel of the contacts.
+              "uri": "A String", # Required. URI of the channel.
+            },
+            "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+            "email": "A String", # Required. Email address of the contacts.
+          },
+        ],
+        "environment": { # Environment of the Application, Service, or Workload # Optional. User-defined environment information.
+          "environment": "A String", # Optional. Environment name. Can contain only lowercase letters, numeric characters, underscores, and dashes. Can have a maximum length of 63 characters. Deprecated: Please refer to type instead.
+          "type": "A String", # Required. Environment Type.
+        },
+        "operatorOwners": [ # Optional. Operator team that ensures runtime and operations.
+          { # Contact information of stakeholders.
+            "channel": { # Separate message to accommodate custom formats across IRC and Slack. # Optional. Communication channel of the contacts.
+              "uri": "A String", # Required. URI of the channel.
+            },
+            "displayName": "A String", # Optional. Contact's name. Can have a maximum length of 63 characters.
+            "email": "A String", # Required. Email address of the contacts.
+          },
+        ],
+      },
+      "createTime": "A String", # Output only. Creation time.
+      "description": "A String", # Optional. User-defined description of the AI Application.
+      "displayName": "A String", # Optional. User-defined name for the AI Application.
+      "name": "A String", # Identifier. Resource name of the AI Application. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`
+      "state": "A String", # Output only. The current state of the AI Application.
+      "uid": "A String", # Output only. Universally unique identifier (UUID4) for the AI Application.
+      "updateTime": "A String", # Output only. Last update time.
+    },
+  ],
+  "nextPageToken": "A String", # A token identifying a page of results the server should return.
+  "unreachable": [ # Unordered list. Locations that could not be reached.
+    "A String",
+  ],
+}
+
+ +
+ list_next(previous_request, previous_response) + 
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+
+
+
setIamPolicy(resource, body=None, x__xgafv=None) 
Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.
diff --git a/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.mcpServers.html b/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.mcpServers.html
new file mode 100644
index 0000000000..5031043237
--- /dev/null
+++ b/docs/dyn/agentregistry_v1alpha.projects.locations.aiApplications.mcpServers.html
@@ -0,0 +1,212 @@
+
+
+
+
Agent Registry API . projects . locations . aiApplications . mcpServers

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets details of a single McpServer under an AI Application.

+

+  list(parent, pageSize=None, pageToken=None, x__xgafv=None)

+
Lists McpServers under an AI Application.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    get(name, x__xgafv=None)
+  
Gets details of a single McpServer under an AI Application.
+
+Args:
+  name: string, Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/mcpServers/{mcp_server}` (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an MCP (Model Context Protocol) Server.
+  "attributes": { # Output only. Attributes of the MCP Server. Valid values: * `agentregistry.googleapis.com/system/RuntimeIdentity`: {"principal": "principal://..."} - the runtime identity associated with the MCP Server. * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the MCP Server, for example, the GKE Deployment.
+    "a_key": {
+      "a_key": "", # Properties of the object.
+    },
+  },
+  "createTime": "A String", # Output only. Create time.
+  "description": "A String", # Output only. The description of the MCP Server.
+  "displayName": "A String", # Output only. The display name of the MCP Server.
+  "interfaces": [ # Output only. The connection details for the MCP Server.
+    { # Represents the connection details for an Agent or MCP Server.
+      "protocolBinding": "A String", # Required. The protocol binding of the interface.
+      "url": "A String", # Required. The destination URL.
+    },
+  ],
+  "mcpServerId": "A String", # Output only. A stable, globally unique identifier for MCP Servers.
+  "name": "A String", # Identifier. The resource name of the MCP Server. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`.
+  "tools": [ # Output only. Tools provided by the MCP Server.
+    { # Represents a single tool provided by an MCP Server.
+      "annotations": { # Annotations describing the characteristics and behavior of a tool or operation. # Output only. Annotations associated with the tool.
+        "destructiveHint": True or False, # Output only. If true, the tool may perform destructive updates to its environment. If false, the tool performs only additive updates. NOTE: This property is meaningful only when `read_only_hint == false` Default: true
+        "idempotentHint": True or False, # Output only. If true, calling the tool repeatedly with the same arguments will have no additional effect on its environment. NOTE: This property is meaningful only when `read_only_hint == false` Default: false
+        "openWorldHint": True or False, # Output only. If true, this tool may interact with an "open world" of external entities. If false, the tool's domain of interaction is closed. For example, the world of a web search tool is open, whereas that of a memory tool is not. Default: true
+        "readOnlyHint": True or False, # Output only. If true, the tool does not modify its environment. Default: false
+        "title": "A String", # Output only. A human-readable title for the tool.
+      },
+      "description": "A String", # Output only. Description of what the tool does.
+      "name": "A String", # Output only. Human-readable name of the tool.
+    },
+  ],
+  "updateTime": "A String", # Output only. Update time.
+}

+

+
+

+    list(parent, pageSize=None, pageToken=None, x__xgafv=None)
+  
Lists McpServers under an AI Application.
+
+Args:
+  parent: string, Required. Parent value (AI Application) for ListAiApplicationMcpServersRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}` (required)
+  pageSize: integer, Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.
+  pageToken: string, Optional. A token identifying a page of results the server should return.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message for response to listing McpServers under an AI Application.
+  "mcpServers": [ # The list of McpServers.
+    { # Represents an MCP (Model Context Protocol) Server.
+      "attributes": { # Output only. Attributes of the MCP Server. Valid values: * `agentregistry.googleapis.com/system/RuntimeIdentity`: {"principal": "principal://..."} - the runtime identity associated with the MCP Server. * `agentregistry.googleapis.com/system/RuntimeReference`: {"uri": "//..."} - the URI of the underlying resource hosting the MCP Server, for example, the GKE Deployment.
+        "a_key": {
+          "a_key": "", # Properties of the object.
+        },
+      },
+      "createTime": "A String", # Output only. Create time.
+      "description": "A String", # Output only. The description of the MCP Server.
+      "displayName": "A String", # Output only. The display name of the MCP Server.
+      "interfaces": [ # Output only. The connection details for the MCP Server.
+        { # Represents the connection details for an Agent or MCP Server.
+          "protocolBinding": "A String", # Required. The protocol binding of the interface.
+          "url": "A String", # Required. The destination URL.
+        },
+      ],
+      "mcpServerId": "A String", # Output only. A stable, globally unique identifier for MCP Servers.
+      "name": "A String", # Identifier. The resource name of the MCP Server. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`.
+      "tools": [ # Output only. Tools provided by the MCP Server.
+        { # Represents a single tool provided by an MCP Server.
+          "annotations": { # Annotations describing the characteristics and behavior of a tool or operation. # Output only. Annotations associated with the tool.
+            "destructiveHint": True or False, # Output only. If true, the tool may perform destructive updates to its environment. If false, the tool performs only additive updates. NOTE: This property is meaningful only when `read_only_hint == false` Default: true
+            "idempotentHint": True or False, # Output only. If true, calling the tool repeatedly with the same arguments will have no additional effect on its environment. NOTE: This property is meaningful only when `read_only_hint == false` Default: false
+            "openWorldHint": True or False, # Output only. If true, this tool may interact with an "open world" of external entities. If false, the tool's domain of interaction is closed. For example, the world of a web search tool is open, whereas that of a memory tool is not. Default: true
+            "readOnlyHint": True or False, # Output only. If true, the tool does not modify its environment. Default: false
+            "title": "A String", # Output only. A human-readable title for the tool.
+          },
+          "description": "A String", # Output only. Description of what the tool does.
+          "name": "A String", # Output only. Human-readable name of the tool.
+        },
+      ],
+      "updateTime": "A String", # Output only. Update time.
+    },
+  ],
+  "nextPageToken": "A String", # A token identifying a page of results the server should return.
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/agentregistry_v1alpha.projects.locations.bindings.html b/docs/dyn/agentregistry_v1alpha.projects.locations.bindings.html
index ff42f302ba..2026487bb3 100644
--- a/docs/dyn/agentregistry_v1alpha.projects.locations.bindings.html
+++ b/docs/dyn/agentregistry_v1alpha.projects.locations.bindings.html
@@ -128,7 +128,7 @@ 
Method Details

   "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
   "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
   "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-  "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+  "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
     "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
   },
   "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
@@ -236,7 +236,7 @@ 
Method Details

       "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
       "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
       "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-      "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+      "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
         "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
       },
       "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
@@ -289,7 +289,7 @@ 
Method Details

   "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
   "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
   "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-  "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+  "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
     "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
   },
   "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
@@ -331,7 +331,7 @@ 
Method Details

       "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
       "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
       "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-      "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+      "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
         "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
       },
       "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
@@ -379,7 +379,7 @@ 
Method Details

   "description": "A String", # Optional. User-defined description of a Binding. Can have a maximum length of `2048` characters.
   "displayName": "A String", # Optional. User-defined display name for the Binding. Can have a maximum length of `63` characters.
   "name": "A String", # Required. Identifier. The resource name of the Binding. Format: `projects/{project}/locations/{location}/bindings/{binding}`.
-  "source": { # The source of the Binding. # Required. The target Agent of the Binding.
+  "source": { # The source of the Binding. # Optional. The source Agent of the Binding.
     "identifier": "A String", # The identifier of the source Agent. Format: * `urn:agent:{publisher}:{namespace}:{name}`
   },
   "target": { # The target of the Binding. # Required. The target Agent Registry Resource of the Binding.
diff --git a/docs/dyn/agentregistry_v1alpha.projects.locations.services.html b/docs/dyn/agentregistry_v1alpha.projects.locations.services.html
index 52053953d5..def28fa7b6 100644
--- a/docs/dyn/agentregistry_v1alpha.projects.locations.services.html
+++ b/docs/dyn/agentregistry_v1alpha.projects.locations.services.html
@@ -115,7 +115,7 @@ 
Method Details

     "content": { # Optional. The content of the Agent spec in the JSON format. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the agent spec content.
+    "type": "A String", # Required. Immutable. The type of the agent spec content.
   },
   "createTime": "A String", # Output only. Create time.
   "description": "A String", # Optional. User-defined description of an Service. Can have a maximum length of `2048` characters.
@@ -124,7 +124,7 @@ 
Method Details

     "content": { # Optional. The content of the endpoint spec. Reserved for future use.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the endpoint spec content.
+    "type": "A String", # Required. Immutable. The type of the endpoint spec content.
   },
   "interfaces": [ # Optional. The connection details for the Service.
     { # Represents the connection details for an Agent or MCP Server.
@@ -136,7 +136,7 @@ 
Method Details

     "content": { # Optional. The content of the MCP Server spec. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the MCP Server spec content.
+    "type": "A String", # Required. Immutable. The type of the MCP Server spec content.
   },
   "name": "A String", # Identifier. The resource name of the Service. Format: `projects/{project}/locations/{location}/services/{service}`.
   "registryResource": "A String", # Output only. The resource name of the resulting Agent, MCP Server, or Endpoint. Format: * `projects/{project}/locations/{location}/mcpServers/{mcp_server}` * `projects/{project}/locations/{location}/agents/{agent}` * `projects/{project}/locations/{location}/endpoints/{endpoint}`
@@ -229,7 +229,7 @@ 
Method Details

     "content": { # Optional. The content of the Agent spec in the JSON format. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the agent spec content.
+    "type": "A String", # Required. Immutable. The type of the agent spec content.
   },
   "createTime": "A String", # Output only. Create time.
   "description": "A String", # Optional. User-defined description of an Service. Can have a maximum length of `2048` characters.
@@ -238,7 +238,7 @@ 
Method Details

     "content": { # Optional. The content of the endpoint spec. Reserved for future use.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the endpoint spec content.
+    "type": "A String", # Required. Immutable. The type of the endpoint spec content.
   },
   "interfaces": [ # Optional. The connection details for the Service.
     { # Represents the connection details for an Agent or MCP Server.
@@ -250,7 +250,7 @@ 
Method Details

     "content": { # Optional. The content of the MCP Server spec. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the MCP Server spec content.
+    "type": "A String", # Required. Immutable. The type of the MCP Server spec content.
   },
   "name": "A String", # Identifier. The resource name of the Service. Format: `projects/{project}/locations/{location}/services/{service}`.
   "registryResource": "A String", # Output only. The resource name of the resulting Agent, MCP Server, or Endpoint. Format: * `projects/{project}/locations/{location}/mcpServers/{mcp_server}` * `projects/{project}/locations/{location}/agents/{agent}` * `projects/{project}/locations/{location}/endpoints/{endpoint}`
@@ -283,7 +283,7 @@ 
Method Details

         "content": { # Optional. The content of the Agent spec in the JSON format. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
           "a_key": "", # Properties of the object.
         },
-        "type": "A String", # Required. The type of the agent spec content.
+        "type": "A String", # Required. Immutable. The type of the agent spec content.
       },
       "createTime": "A String", # Output only. Create time.
       "description": "A String", # Optional. User-defined description of an Service. Can have a maximum length of `2048` characters.
@@ -292,7 +292,7 @@ 
Method Details

         "content": { # Optional. The content of the endpoint spec. Reserved for future use.
           "a_key": "", # Properties of the object.
         },
-        "type": "A String", # Required. The type of the endpoint spec content.
+        "type": "A String", # Required. Immutable. The type of the endpoint spec content.
       },
       "interfaces": [ # Optional. The connection details for the Service.
         { # Represents the connection details for an Agent or MCP Server.
@@ -304,7 +304,7 @@ 
Method Details

         "content": { # Optional. The content of the MCP Server spec. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
           "a_key": "", # Properties of the object.
         },
-        "type": "A String", # Required. The type of the MCP Server spec content.
+        "type": "A String", # Required. Immutable. The type of the MCP Server spec content.
       },
       "name": "A String", # Identifier. The resource name of the Service. Format: `projects/{project}/locations/{location}/services/{service}`.
       "registryResource": "A String", # Output only. The resource name of the resulting Agent, MCP Server, or Endpoint. Format: * `projects/{project}/locations/{location}/mcpServers/{mcp_server}` * `projects/{project}/locations/{location}/agents/{agent}` * `projects/{project}/locations/{location}/endpoints/{endpoint}`
@@ -342,7 +342,7 @@ 
Method Details

     "content": { # Optional. The content of the Agent spec in the JSON format. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the agent spec content.
+    "type": "A String", # Required. Immutable. The type of the agent spec content.
   },
   "createTime": "A String", # Output only. Create time.
   "description": "A String", # Optional. User-defined description of an Service. Can have a maximum length of `2048` characters.
@@ -351,7 +351,7 @@ 
Method Details

     "content": { # Optional. The content of the endpoint spec. Reserved for future use.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the endpoint spec content.
+    "type": "A String", # Required. Immutable. The type of the endpoint spec content.
   },
   "interfaces": [ # Optional. The connection details for the Service.
     { # Represents the connection details for an Agent or MCP Server.
@@ -363,7 +363,7 @@ 
Method Details

     "content": { # Optional. The content of the MCP Server spec. This payload is validated against the schema for the specified type. The content size is limited to `10KB`.
       "a_key": "", # Properties of the object.
     },
-    "type": "A String", # Required. The type of the MCP Server spec content.
+    "type": "A String", # Required. Immutable. The type of the MCP Server spec content.
   },
   "name": "A String", # Identifier. The resource name of the Service. Format: `projects/{project}/locations/{location}/services/{service}`.
   "registryResource": "A String", # Output only. The resource name of the resulting Agent, MCP Server, or Endpoint. Format: * `projects/{project}/locations/{location}/mcpServers/{mcp_server}` * `projects/{project}/locations/{location}/agents/{agent}` * `projects/{project}/locations/{location}/endpoints/{endpoint}`
diff --git a/googleapiclient/discovery_cache/documents/agentregistry.v1.json b/googleapiclient/discovery_cache/documents/agentregistry.v1.json
index 11dc54fdea..fdc7111ba6 100644
--- a/googleapiclient/discovery_cache/documents/agentregistry.v1.json
+++ b/googleapiclient/discovery_cache/documents/agentregistry.v1.json
@@ -312,6 +312,34 @@
 },
 "aiApplications": {
 "methods": {
+"get": {
+"description": "Gets details of a single AI Application.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Target AI Application resource name. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}",
+"response": {
+"$ref": "AiApplication"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
 "getIamPolicy": {
 "description": "Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.",
 "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}:getIamPolicy",
@@ -346,6 +374,55 @@
 "https://www.googleapis.com/auth/cloud-platform.read-only"
 ]
 },
+"list": {
+"description": "Lists AI Applications in a given project and location.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"filter": {
+"description": "Optional. Filtering results.",
+"location": "query",
+"type": "string"
+},
+"orderBy": {
+"description": "Optional. Hint for how to order the results.",
+"location": "query",
+"type": "string"
+},
+"pageSize": {
+"description": "Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A token identifying a page of results the server should return.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Parent project and location to query. Format: `projects/{project}/locations/{location}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+parent}/aiApplications",
+"response": {
+"$ref": "ListAiApplicationsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
 "setIamPolicy": {
 "description": "Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.",
 "flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}:setIamPolicy",
@@ -406,6 +483,221 @@
 "https://www.googleapis.com/auth/cloud-platform.read-only"
 ]
 }
+},
+"resources": {
+"agents": {
+"methods": {
+"get": {
+"description": "Gets details of a single Agent under an AI Application.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/agents/{agentsId}",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.agents.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/agents/{agent}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+/agents/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}",
+"response": {
+"$ref": "Agent"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
+"list": {
+"description": "Lists Agents under an AI Application.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/agents",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.agents.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"pageSize": {
+"description": "Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A token identifying a page of results the server should return.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Parent value (AI Application) for ListAiApplicationAgentsRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+parent}/agents",
+"response": {
+"$ref": "ListAiApplicationAgentsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+}
+}
+},
+"endpoints": {
+"methods": {
+"get": {
+"description": "Gets details of a single Endpoint under an AI Application.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/endpoints/{endpointsId}",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.endpoints.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/endpoints/{endpoint}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+/endpoints/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}",
+"response": {
+"$ref": "Endpoint"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
+"list": {
+"description": "Lists Endpoints under an AI Application.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/endpoints",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.endpoints.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"pageSize": {
+"description": "Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A token identifying a page of results the server should return.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Parent value (AI Application) for ListAiApplicationEndpointsRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+parent}/endpoints",
+"response": {
+"$ref": "ListAiApplicationEndpointsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+}
+}
+},
+"mcpServers": {
+"methods": {
+"get": {
+"description": "Gets details of a single McpServer under an AI Application.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/mcpServers/{mcpServersId}",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.mcpServers.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/mcpServers/{mcp_server}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+/mcpServers/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}",
+"response": {
+"$ref": "McpServer"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
+"list": {
+"description": "Lists McpServers under an AI Application.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/mcpServers",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.mcpServers.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"pageSize": {
+"description": "Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A token identifying a page of results the server should return.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Parent value (AI Application) for ListAiApplicationMcpServersRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+parent}/mcpServers",
+"response": {
+"$ref": "ListAiApplicationMcpServersResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+}
+}
+}
 }
 },
 "bindings": {
@@ -1175,7 +1467,7 @@
 }
 }
 },
-"revision": "20260904",
+"revision": "20261003",
 "rootUrl": "https://agentregistry.googleapis.com/",
 "schemas": {
 "A2ASkill": {
@@ -1315,7 +1607,7 @@
 "type": "object"
 },
 "type": {
-"description": "Required. The type of the agent spec content.",
+"description": "Required. Immutable. The type of the agent spec content.",
 "enum": [
 "TYPE_UNSPECIFIED",
 "NO_SPEC",
@@ -1331,6 +1623,68 @@
 },
 "type": "object"
 },
+"AiApplication": {
+"description": "Represents an AI Application.",
+"id": "AiApplication",
+"properties": {
+"applicationProperties": {
+"$ref": "ApplicationProperties",
+"description": "Output only. Properties of an underlying cloud resource that can comprise an AI Application.",
+"readOnly": true
+},
+"attributes": {
+"$ref": "Attributes",
+"description": "Optional. Consumer provided attributes."
+},
+"createTime": {
+"description": "Output only. Creation time.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"description": {
+"description": "Optional. User-defined description of the AI Application.",
+"type": "string"
+},
+"displayName": {
+"description": "Optional. User-defined name for the AI Application.",
+"type": "string"
+},
+"name": {
+"description": "Identifier. Resource name of the AI Application. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"type": "string"
+},
+"state": {
+"description": "Output only. The current state of the AI Application.",
+"enum": [
+"STATE_UNSPECIFIED",
+"CREATING",
+"ACTIVE",
+"DELETING"
+],
+"enumDescriptions": [
+"Default value. This value is unused.",
+"The resource is being provisioned or created.",
+"The resource is active and ready for use.",
+"The resource is in the process of being deleted."
+],
+"readOnly": true,
+"type": "string"
+},
+"uid": {
+"description": "Output only. Universally unique identifier (UUID4) for the AI Application.",
+"readOnly": true,
+"type": "string"
+},
+"updateTime": {
+"description": "Output only. Last update time.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "Annotations": {
 "description": "Annotations describing the characteristics and behavior of a tool or operation.",
 "id": "Annotations",
@@ -1363,6 +1717,57 @@
 },
 "type": "object"
 },
+"ApplicationProperties": {
+"description": "Additional system properties of an Application.",
+"id": "ApplicationProperties",
+"properties": {
+"extendedMetadata": {
+"additionalProperties": {
+"$ref": "ExtendedMetadata"
+},
+"description": "Output only. Additional metadata specific to the App Hub application. The key is a string that identifies the type of metadata and the value is the metadata contents specific to that type. Key format: `apphub.googleapis.com/{metadataType}`",
+"readOnly": true,
+"type": "object"
+}
+},
+"type": "object"
+},
+"Attributes": {
+"description": "Consumer provided attributes.",
+"id": "Attributes",
+"properties": {
+"businessOwners": {
+"description": "Optional. Business team that ensures user needs are met and value is delivered",
+"items": {
+"$ref": "ContactInfo"
+},
+"type": "array"
+},
+"criticality": {
+"$ref": "Criticality",
+"description": "Optional. User-defined criticality information."
+},
+"developerOwners": {
+"description": "Optional. Developer team that owns development and coding.",
+"items": {
+"$ref": "ContactInfo"
+},
+"type": "array"
+},
+"environment": {
+"$ref": "Environment",
+"description": "Optional. User-defined environment information."
+},
+"operatorOwners": {
+"description": "Optional. Operator team that ensures runtime and operations.",
+"items": {
+"$ref": "ContactInfo"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "AuthProviderBinding": {
 "description": "The AuthProvider of the Binding.",
 "id": "AuthProviderBinding",
@@ -1413,7 +1818,7 @@
 },
 "source": {
 "$ref": "Source",
-"description": "Required. The target Agent of the Binding."
+"description": "Optional. The source Agent of the Binding."
 },
 "target": {
 "$ref": "Target",
@@ -1463,6 +1868,46 @@
 },
 "type": "object"
 },
+"ContactInfo": {
+"description": "Contact information of stakeholders.",
+"id": "ContactInfo",
+"properties": {
+"displayName": {
+"description": "Optional. Contact's name. Can have a maximum length of 63 characters.",
+"type": "string"
+},
+"email": {
+"description": "Required. Email address of the contacts.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"Criticality": {
+"description": "Criticality of the Application, Service, or Workload",
+"id": "Criticality",
+"properties": {
+"type": {
+"description": "Required. Criticality Type.",
+"enum": [
+"TYPE_UNSPECIFIED",
+"MISSION_CRITICAL",
+"HIGH",
+"MEDIUM",
+"LOW"
+],
+"enumDescriptions": [
+"Unspecified type.",
+"Mission critical service, application or workload.",
+"High impact.",
+"Medium impact.",
+"Low impact."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "Empty": {
 "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }",
 "id": "Empty",
@@ -1539,7 +1984,7 @@
 "type": "object"
 },
 "type": {
-"description": "Required. The type of the endpoint spec content.",
+"description": "Required. Immutable. The type of the endpoint spec content.",
 "enum": [
 "TYPE_UNSPECIFIED",
 "NO_SPEC"
@@ -1553,6 +1998,31 @@
 },
 "type": "object"
 },
+"Environment": {
+"description": "Environment of the Application, Service, or Workload",
+"id": "Environment",
+"properties": {
+"type": {
+"description": "Required. Environment Type.",
+"enum": [
+"TYPE_UNSPECIFIED",
+"PRODUCTION",
+"STAGING",
+"TEST",
+"DEVELOPMENT"
+],
+"enumDescriptions": [
+"Unspecified type.",
+"Production environment.",
+"Staging environment.",
+"Test environment.",
+"Development environment."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "Expr": {
 "description": "Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: \"Summary size limit\" description: \"Determines if a summary is less than 100 chars\" expression: \"document.summary.size() < 100\" Example (Equality): title: \"Requestor is owner\" description: \"Determines if requestor is the document owner\" expression: \"document.owner == request.auth.claims.email\" Example (Logic): title: \"Public documents\" description: \"Determine whether the document should be publicly visible\" expression: \"document.type != 'private' && document.type != 'internal'\" Example (Data Manipulation): title: \"Notification string\" description: \"Create a notification string with a timestamp.\" expression: \"'New message received at ' + string(document.create_time)\" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.",
 "id": "Expr",
@@ -1576,6 +2046,22 @@
 },
 "type": "object"
 },
+"ExtendedMetadata": {
+"description": "Additional metadata for a Service or Workload.",
+"id": "ExtendedMetadata",
+"properties": {
+"metadataStruct": {
+"additionalProperties": {
+"description": "Properties of the object.",
+"type": "any"
+},
+"description": "Output only. The metadata contents.",
+"readOnly": true,
+"type": "object"
+}
+},
+"type": "object"
+},
 "FetchAvailableBindingsResponse": {
 "description": "Message for response to fetching available Bindings.",
 "id": "FetchAvailableBindingsResponse",
@@ -1784,6 +2270,85 @@
 },
 "type": "object"
 },
+"ListAiApplicationAgentsResponse": {
+"description": "Message for response to listing Agents under an AI Application.",
+"id": "ListAiApplicationAgentsResponse",
+"properties": {
+"agents": {
+"description": "The list of Agents.",
+"items": {
+"$ref": "Agent"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token identifying a page of results the server should return.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ListAiApplicationEndpointsResponse": {
+"description": "Message for response to listing Endpoints under an AI Application.",
+"id": "ListAiApplicationEndpointsResponse",
+"properties": {
+"endpoints": {
+"description": "The list of Endpoints.",
+"items": {
+"$ref": "Endpoint"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token identifying a page of results the server should return.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ListAiApplicationMcpServersResponse": {
+"description": "Message for response to listing McpServers under an AI Application.",
+"id": "ListAiApplicationMcpServersResponse",
+"properties": {
+"mcpServers": {
+"description": "The list of McpServers.",
+"items": {
+"$ref": "McpServer"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token identifying a page of results the server should return.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ListAiApplicationsResponse": {
+"description": "Message for response to listing AiApplications.",
+"id": "ListAiApplicationsResponse",
+"properties": {
+"aiApplications": {
+"description": "The list of AiApplications.",
+"items": {
+"$ref": "AiApplication"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token identifying a page of results the server should return.",
+"type": "string"
+},
+"unreachable": {
+"description": "Unordered list. Locations that could not be reached.",
+"items": {
+"type": "string"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "ListBindingsResponse": {
 "description": "Message for response to listing Bindings",
 "id": "ListBindingsResponse",
@@ -2012,7 +2577,7 @@
 "type": "object"
 },
 "type": {
-"description": "Required. The type of the MCP Server spec content.",
+"description": "Required. Immutable. The type of the MCP Server spec content.",
 "enum": [
 "TYPE_UNSPECIFIED",
 "NO_SPEC",
@@ -2156,7 +2721,7 @@
 "type": "string"
 },
 "searchString": {
-"description": "Optional. Search criteria used to select the Agents to return. If no search criteria is specified then all accessible Agents will be returned. Search expressions can be used to restrict results based upon searchable fields, where the operators can be used along with the suffix wildcard symbol `*`. See [instructions](https://docs.cloud.google.com/agent-registry/search-agents-and-tools) for more details. Allowed operators: `=`, `:`, `NOT`, `AND`, `OR`, and `()`. Searchable fields: | Field | `=` | `:` | `*` | Keyword Search | |--------------------|-----|-----|-----|----------------| | agentId | Yes | Yes | Yes | Included | | name | No | Yes | Yes | Included | | displayName | No | Yes | Yes | Included | | description | No | Yes | No | Included | | skills | No | Yes | No | Included | | skills.id | No | Yes | No | Included | | skills.name | No | Yes | No | Included | | skills.description | No | Yes | No | Included | | skills.tags | No | Yes | No | Included | | skills.examples | No | Yes | No | Included | Examples: * `agentId=\"urn:agent:projects-123:projects:123:locations:us-central1:reasoningEngines:1234\"` to find the agent with the specified agent ID. * `name:important` to find agents whose name contains `important` as a word. * `displayName:works*` to find agents whose display name contains words that start with `works`. * `skills.tags:test` to find agents whose skills tags contain `test`. * `planner OR booking` to find agents whose metadata contains the words `planner` or `booking`.",
+"description": "Optional. Search criteria used to select the Agents to return. If no search criteria is specified then all accessible Agents will be returned. Search expressions can be used to restrict results based upon searchable fields, where the operators can be used along with the suffix wildcard symbol `*`. See [instructions](https://docs.cloud.google.com/agent-registry/search-agents-and-tools) for more details. Allowed operators: `=`, `:`, `NOT`, `AND`, `OR`, and `()`. Searchable fields: | Field | `=` | `:` | `*` | Keyword Search | |--------------------|-----|-----|-----|----------------| | agentId | Yes | Yes | Yes | Included | | name | No | Yes | Yes | Included | | displayName | No | Yes | Yes | Included | | description | No | Yes | No | Included | | skills | No | Yes | No | Included | | skills.id | No | Yes | No | Included | | skills.name | No | Yes | No | Included | | skills.description | No | Yes | No | Included | | skills.tags | No | Yes | No | Included | | skills.examples | No | Yes | No | Included | Examples: * `agentId=\"urn:agent:projects-123:projects:123:locations:us-central1:aiplatform:reasoningEngines:1234\"` to find the agent with the specified agent ID. * `name:important` to find agents whose name contains `important` as a word. * `displayName:works*` to find agents whose display name contains words that start with `works`. * `skills.tags:test` to find agents whose skills tags contain `test`. * `planner OR booking` to find agents whose metadata contains the words `planner` or `booking`.",
 "type": "string"
 }
 },
diff --git a/googleapiclient/discovery_cache/documents/agentregistry.v1alpha.json b/googleapiclient/discovery_cache/documents/agentregistry.v1alpha.json
index 68f323f8a4..3f536f471f 100644
--- a/googleapiclient/discovery_cache/documents/agentregistry.v1alpha.json
+++ b/googleapiclient/discovery_cache/documents/agentregistry.v1alpha.json
@@ -312,6 +312,34 @@
 },
 "aiApplications": {
 "methods": {
+"get": {
+"description": "Gets details of a single AI Application.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Target AI Application resource name. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}",
+"response": {
+"$ref": "AiApplication"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
 "getIamPolicy": {
 "description": "Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.",
 "flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}:getIamPolicy",
@@ -346,6 +374,55 @@
 "https://www.googleapis.com/auth/cloud-platform.read-only"
 ]
 },
+"list": {
+"description": "Lists AI Applications in a given project and location.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"filter": {
+"description": "Optional. Filtering results.",
+"location": "query",
+"type": "string"
+},
+"orderBy": {
+"description": "Optional. Hint for how to order the results.",
+"location": "query",
+"type": "string"
+},
+"pageSize": {
+"description": "Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A token identifying a page of results the server should return.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Parent project and location to query. Format: `projects/{project}/locations/{location}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+parent}/aiApplications",
+"response": {
+"$ref": "ListAiApplicationsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
 "setIamPolicy": {
 "description": "Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` errors.",
 "flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}:setIamPolicy",
@@ -406,6 +483,221 @@
 "https://www.googleapis.com/auth/cloud-platform.read-only"
 ]
 }
+},
+"resources": {
+"agents": {
+"methods": {
+"get": {
+"description": "Gets details of a single Agent under an AI Application.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/agents/{agentsId}",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.agents.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/agents/{agent}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+/agents/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}",
+"response": {
+"$ref": "Agent"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
+"list": {
+"description": "Lists Agents under an AI Application.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/agents",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.agents.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"pageSize": {
+"description": "Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A token identifying a page of results the server should return.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Parent value (AI Application) for ListAiApplicationAgentsRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+parent}/agents",
+"response": {
+"$ref": "ListAiApplicationAgentsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+}
+}
+},
+"endpoints": {
+"methods": {
+"get": {
+"description": "Gets details of a single Endpoint under an AI Application.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/endpoints/{endpointsId}",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.endpoints.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/endpoints/{endpoint}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+/endpoints/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}",
+"response": {
+"$ref": "Endpoint"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
+"list": {
+"description": "Lists Endpoints under an AI Application.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/endpoints",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.endpoints.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"pageSize": {
+"description": "Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A token identifying a page of results the server should return.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Parent value (AI Application) for ListAiApplicationEndpointsRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+parent}/endpoints",
+"response": {
+"$ref": "ListAiApplicationEndpointsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+}
+}
+},
+"mcpServers": {
+"methods": {
+"get": {
+"description": "Gets details of a single McpServer under an AI Application.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/mcpServers/{mcpServersId}",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.mcpServers.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Name of the resource. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}/mcpServers/{mcp_server}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+/mcpServers/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}",
+"response": {
+"$ref": "McpServer"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+},
+"list": {
+"description": "Lists McpServers under an AI Application.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/aiApplications/{aiApplicationsId}/mcpServers",
+"httpMethod": "GET",
+"id": "agentregistry.projects.locations.aiApplications.mcpServers.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"pageSize": {
+"description": "Optional. Requested page size. Server may return fewer items than requested. If unspecified, server will pick an appropriate default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A token identifying a page of results the server should return.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Parent value (AI Application) for ListAiApplicationMcpServersRequest. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/aiApplications/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+parent}/mcpServers",
+"response": {
+"$ref": "ListAiApplicationMcpServersResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/agentregistry.read-only",
+"https://www.googleapis.com/auth/agentregistry.read-write",
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only"
+]
+}
+}
+}
 }
 },
 "bindings": {
@@ -1757,7 +2049,7 @@
 }
 }
 },
-"revision": "20260904",
+"revision": "20261003",
 "rootUrl": "https://agentregistry.googleapis.com/",
 "schemas": {
 "A2ASkill": {
@@ -1897,7 +2189,7 @@
 "type": "object"
 },
 "type": {
-"description": "Required. The type of the agent spec content.",
+"description": "Required. Immutable. The type of the agent spec content.",
 "enum": [
 "TYPE_UNSPECIFIED",
 "NO_SPEC",
@@ -1913,6 +2205,68 @@
 },
 "type": "object"
 },
+"AiApplication": {
+"description": "Represents an AI Application.",
+"id": "AiApplication",
+"properties": {
+"applicationProperties": {
+"$ref": "ApplicationProperties",
+"description": "Output only. Properties of an underlying cloud resource that can comprise an AI Application.",
+"readOnly": true
+},
+"attributes": {
+"$ref": "Attributes",
+"description": "Optional. Consumer provided attributes."
+},
+"createTime": {
+"description": "Output only. Creation time.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"description": {
+"description": "Optional. User-defined description of the AI Application.",
+"type": "string"
+},
+"displayName": {
+"description": "Optional. User-defined name for the AI Application.",
+"type": "string"
+},
+"name": {
+"description": "Identifier. Resource name of the AI Application. Format: `projects/{project}/locations/{location}/aiApplications/{ai_application}`",
+"type": "string"
+},
+"state": {
+"description": "Output only. The current state of the AI Application.",
+"enum": [
+"STATE_UNSPECIFIED",
+"CREATING",
+"ACTIVE",
+"DELETING"
+],
+"enumDescriptions": [
+"Default value. This value is unused.",
+"The resource is being provisioned or created.",
+"The resource is active and ready for use.",
+"The resource is in the process of being deleted."
+],
+"readOnly": true,
+"type": "string"
+},
+"uid": {
+"description": "Output only. Universally unique identifier (UUID4) for the AI Application.",
+"readOnly": true,
+"type": "string"
+},
+"updateTime": {
+"description": "Output only. Last update time.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "Annotations": {
 "description": "Annotations describing the characteristics and behavior of a tool or operation.",
 "id": "Annotations",
@@ -1945,6 +2299,21 @@
 },
 "type": "object"
 },
+"ApplicationProperties": {
+"description": "Additional system properties of an Application.",
+"id": "ApplicationProperties",
+"properties": {
+"extendedMetadata": {
+"additionalProperties": {
+"$ref": "ExtendedMetadata"
+},
+"description": "Output only. Additional metadata specific to the App Hub application. The key is a string that identifies the type of metadata and the value is the metadata contents specific to that type. Key format: `apphub.googleapis.com/{metadataType}`",
+"readOnly": true,
+"type": "object"
+}
+},
+"type": "object"
+},
 "ArchiveUploadSource": {
 "description": "Direct write-only raw archive payload upload.",
 "id": "ArchiveUploadSource",
@@ -1957,6 +2326,42 @@
 },
 "type": "object"
 },
+"Attributes": {
+"description": "Consumer provided attributes.",
+"id": "Attributes",
+"properties": {
+"businessOwners": {
+"description": "Optional. Business team that ensures user needs are met and value is delivered",
+"items": {
+"$ref": "ContactInfo"
+},
+"type": "array"
+},
+"criticality": {
+"$ref": "Criticality",
+"description": "Optional. User-defined criticality information."
+},
+"developerOwners": {
+"description": "Optional. Developer team that owns development and coding.",
+"items": {
+"$ref": "ContactInfo"
+},
+"type": "array"
+},
+"environment": {
+"$ref": "Environment",
+"description": "Optional. User-defined environment information."
+},
+"operatorOwners": {
+"description": "Optional. Operator team that ensures runtime and operations.",
+"items": {
+"$ref": "ContactInfo"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "AuthProviderBinding": {
 "description": "The AuthProvider of the Binding.",
 "id": "AuthProviderBinding",
@@ -2007,7 +2412,7 @@
 },
 "source": {
 "$ref": "Source",
-"description": "Required. The target Agent of the Binding."
+"description": "Optional. The source Agent of the Binding."
 },
 "target": {
 "$ref": "Target",
@@ -2057,6 +2462,71 @@
 },
 "type": "object"
 },
+"Channel": {
+"description": "Separate message to accommodate custom formats across IRC and Slack.",
+"id": "Channel",
+"properties": {
+"uri": {
+"description": "Required. URI of the channel.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ContactInfo": {
+"description": "Contact information of stakeholders.",
+"id": "ContactInfo",
+"properties": {
+"channel": {
+"$ref": "Channel",
+"description": "Optional. Communication channel of the contacts."
+},
+"displayName": {
+"description": "Optional. Contact's name. Can have a maximum length of 63 characters.",
+"type": "string"
+},
+"email": {
+"description": "Required. Email address of the contacts.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"Criticality": {
+"description": "Criticality of the Application, Service, or Workload",
+"id": "Criticality",
+"properties": {
+"level": {
+"deprecated": true,
+"description": "Optional. Criticality level. Can contain only lowercase letters, numeric characters, underscores, and dashes. Can have a maximum length of 63 characters. Deprecated: Please refer to type instead.",
+"type": "string"
+},
+"missionCritical": {
+"deprecated": true,
+"description": "Optional. Indicates mission-critical Application, Service, or Workload. Deprecated: Please refer to type instead.",
+"type": "boolean"
+},
+"type": {
+"description": "Required. Criticality Type.",
+"enum": [
+"TYPE_UNSPECIFIED",
+"MISSION_CRITICAL",
+"HIGH",
+"MEDIUM",
+"LOW"
+],
+"enumDescriptions": [
+"Unspecified type.",
+"Mission critical service, application or workload.",
+"High impact.",
+"Medium impact.",
+"Low impact."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "Empty": {
 "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }",
 "id": "Empty",
@@ -2133,7 +2603,7 @@
 "type": "object"
 },
 "type": {
-"description": "Required. The type of the endpoint spec content.",
+"description": "Required. Immutable. The type of the endpoint spec content.",
 "enum": [
 "TYPE_UNSPECIFIED",
 "NO_SPEC"
@@ -2147,6 +2617,36 @@
 },
 "type": "object"
 },
+"Environment": {
+"description": "Environment of the Application, Service, or Workload",
+"id": "Environment",
+"properties": {
+"environment": {
+"deprecated": true,
+"description": "Optional. Environment name. Can contain only lowercase letters, numeric characters, underscores, and dashes. Can have a maximum length of 63 characters. Deprecated: Please refer to type instead.",
+"type": "string"
+},
+"type": {
+"description": "Required. Environment Type.",
+"enum": [
+"TYPE_UNSPECIFIED",
+"PRODUCTION",
+"STAGING",
+"TEST",
+"DEVELOPMENT"
+],
+"enumDescriptions": [
+"Unspecified type.",
+"Production environment.",
+"Staging environment.",
+"Test environment.",
+"Development environment."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "Expr": {
 "description": "Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: \"Summary size limit\" description: \"Determines if a summary is less than 100 chars\" expression: \"document.summary.size() < 100\" Example (Equality): title: \"Requestor is owner\" description: \"Determines if requestor is the document owner\" expression: \"document.owner == request.auth.claims.email\" Example (Logic): title: \"Public documents\" description: \"Determine whether the document should be publicly visible\" expression: \"document.type != 'private' && document.type != 'internal'\" Example (Data Manipulation): title: \"Notification string\" description: \"Create a notification string with a timestamp.\" expression: \"'New message received at ' + string(document.create_time)\" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.",
 "id": "Expr",
@@ -2170,6 +2670,22 @@
 },
 "type": "object"
 },
+"ExtendedMetadata": {
+"description": "Additional metadata for a Service or Workload.",
+"id": "ExtendedMetadata",
+"properties": {
+"metadataStruct": {
+"additionalProperties": {
+"description": "Properties of the object.",
+"type": "any"
+},
+"description": "Output only. The metadata contents.",
+"readOnly": true,
+"type": "object"
+}
+},
+"type": "object"
+},
 "FetchAvailableBindingsResponse": {
 "description": "Message for response to fetching available Bindings.",
 "id": "FetchAvailableBindingsResponse",
@@ -2424,6 +2940,85 @@
 },
 "type": "object"
 },
+"ListAiApplicationAgentsResponse": {
+"description": "Message for response to listing Agents under an AI Application.",
+"id": "ListAiApplicationAgentsResponse",
+"properties": {
+"agents": {
+"description": "The list of Agents.",
+"items": {
+"$ref": "Agent"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token identifying a page of results the server should return.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ListAiApplicationEndpointsResponse": {
+"description": "Message for response to listing Endpoints under an AI Application.",
+"id": "ListAiApplicationEndpointsResponse",
+"properties": {
+"endpoints": {
+"description": "The list of Endpoints.",
+"items": {
+"$ref": "Endpoint"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token identifying a page of results the server should return.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ListAiApplicationMcpServersResponse": {
+"description": "Message for response to listing McpServers under an AI Application.",
+"id": "ListAiApplicationMcpServersResponse",
+"properties": {
+"mcpServers": {
+"description": "The list of McpServers.",
+"items": {
+"$ref": "McpServer"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token identifying a page of results the server should return.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ListAiApplicationsResponse": {
+"description": "Message for response to listing AiApplications.",
+"id": "ListAiApplicationsResponse",
+"properties": {
+"aiApplications": {
+"description": "The list of AiApplications.",
+"items": {
+"$ref": "AiApplication"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "A token identifying a page of results the server should return.",
+"type": "string"
+},
+"unreachable": {
+"description": "Unordered list. Locations that could not be reached.",
+"items": {
+"type": "string"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "ListBindingsResponse": {
 "description": "Message for response to listing Bindings",
 "id": "ListBindingsResponse",
@@ -2713,7 +3308,7 @@
 "type": "object"
 },
 "type": {
-"description": "Required. The type of the MCP Server spec content.",
+"description": "Required. Immutable. The type of the MCP Server spec content.",
 "enum": [
 "TYPE_UNSPECIFIED",
 "NO_SPEC",
@@ -2901,7 +3496,7 @@
 "type": "string"
 },
 "searchString": {
-"description": "Optional. Search criteria used to select the Agents to return. If no search criteria is specified then all accessible Agents will be returned. Search expressions can be used to restrict results based upon searchable fields, where the operators can be used along with the suffix wildcard symbol `*`. See [instructions](https://docs.cloud.google.com/agent-registry/search-agents-and-tools) for more details. Allowed operators: `=`, `:`, `NOT`, `AND`, `OR`, and `()`. Searchable fields: | Field | `=` | `:` | `*` | Keyword Search | |--------------------|-----|-----|-----|----------------| | agentId | Yes | Yes | Yes | Included | | name | No | Yes | Yes | Included | | displayName | No | Yes | Yes | Included | | description | No | Yes | No | Included | | skills | No | Yes | No | Included | | skills.id | No | Yes | No | Included | | skills.name | No | Yes | No | Included | | skills.description | No | Yes | No | Included | | skills.tags | No | Yes | No | Included | | skills.examples | No | Yes | No | Included | Examples: * `agentId=\"urn:agent:projects-123:projects:123:locations:us-central1:reasoningEngines:1234\"` to find the agent with the specified agent ID. * `name:important` to find agents whose name contains `important` as a word. * `displayName:works*` to find agents whose display name contains words that start with `works`. * `skills.tags:test` to find agents whose skills tags contain `test`. * `planner OR booking` to find agents whose metadata contains the words `planner` or `booking`.",
+"description": "Optional. Search criteria used to select the Agents to return. If no search criteria is specified then all accessible Agents will be returned. Search expressions can be used to restrict results based upon searchable fields, where the operators can be used along with the suffix wildcard symbol `*`. See [instructions](https://docs.cloud.google.com/agent-registry/search-agents-and-tools) for more details. Allowed operators: `=`, `:`, `NOT`, `AND`, `OR`, and `()`. Searchable fields: | Field | `=` | `:` | `*` | Keyword Search | |--------------------|-----|-----|-----|----------------| | agentId | Yes | Yes | Yes | Included | | name | No | Yes | Yes | Included | | displayName | No | Yes | Yes | Included | | description | No | Yes | No | Included | | skills | No | Yes | No | Included | | skills.id | No | Yes | No | Included | | skills.name | No | Yes | No | Included | | skills.description | No | Yes | No | Included | | skills.tags | No | Yes | No | Included | | skills.examples | No | Yes | No | Included | Examples: * `agentId=\"urn:agent:projects-123:projects:123:locations:us-central1:aiplatform:reasoningEngines:1234\"` to find the agent with the specified agent ID. * `name:important` to find agents whose name contains `important` as a word. * `displayName:works*` to find agents whose display name contains words that start with `works`. * `skills.tags:test` to find agents whose skills tags contain `test`. * `planner OR booking` to find agents whose metadata contains the words `planner` or `booking`.",
 "type": "string"
 }
 },

From aee04f1921234e8e457edb5e37e108902f66798c Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:43 +0000
Subject: [PATCH 02/32] feat(aiplatform): update the api

#### aiplatform:v1

The following keys were added:
- schemas.CloudAiLargeModelsVisionGenerateVideoExperiments.properties.loraConfig.$ref (Total Keys: 1)
- schemas.CloudAiLargeModelsVisionGenerateVideoExperiments.properties.superResConfig.$ref (Total Keys: 1)
- schemas.CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfig (Total Keys: 10)
- schemas.CloudAiLargeModelsVisionGenerateVideoExperimentsSuperResConfig (Total Keys: 3)
- schemas.GoogleCloudAiplatformV1Agent.properties.modelConfig.$ref (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1AgentModelConfig (Total Keys: 5)
- schemas.GoogleCloudAiplatformV1EvaluationRunEvaluationConfig.properties.allowCrossRegionModel.type (Total Keys: 1)

The following keys were changed:
- endpoints (Total Keys: 1)

#### aiplatform:v1beta1

The following keys were added:
- schemas.CloudAiLargeModelsVisionGenerateVideoExperiments.properties.loraConfig.$ref (Total Keys: 1)
- schemas.CloudAiLargeModelsVisionGenerateVideoExperiments.properties.superResConfig.$ref (Total Keys: 1)
- schemas.CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfig (Total Keys: 10)
- schemas.CloudAiLargeModelsVisionGenerateVideoExperimentsSuperResConfig (Total Keys: 3)
- schemas.GenaiVertexV1beta1GenerationConfig.properties.temperature.deprecated (Total Keys: 1)
- schemas.GenaiVertexV1beta1GenerationConfig.properties.topP.deprecated (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1beta1Agent.properties.modelConfig.$ref (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1beta1AgentAnomalyDetectionScope.properties.autoEnroll.type (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1beta1AgentModelConfig (Total Keys: 5)
- schemas.GoogleCloudAiplatformV1beta1EvaluateInstancesRequest.properties.allowCrossRegionModel.type (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1beta1EvaluationRunEvaluationConfig.properties.allowCrossRegionModel.type (Total Keys: 1)
- schemas.GoogleCloudAiplatformV1beta1EvaluationRunMetricPredefinedMetricSpec.properties.stepAutoraterConfigs (Total Keys: 2)
- schemas.GoogleCloudAiplatformV1beta1PredefinedMetricSpec.properties.stepAutoraterConfigs (Total Keys: 2)

The following keys were changed:
- endpoints (Total Keys: 1)
---
 docs/dyn/aiplatform_v1.endpoints.html         |   30 +-
 ...platform_v1.projects.locations.agents.html |   16 +
 ..._v1.projects.locations.cachedContents.html |   60 +-
 ...tform_v1.projects.locations.endpoints.html |   30 +-
 ...v1.projects.locations.evaluationItems.html |  496 +-
 ..._v1.projects.locations.evaluationRuns.html |   44 +-
 ..._v1.projects.locations.evaluationSets.html |   70 +-
 .../dyn/aiplatform_v1.projects.locations.html |  142 +-
 ....projects.locations.publishers.models.html |   30 +-
 ....locations.semanticGovernancePolicies.html |   16 +-
 docs/dyn/aiplatform_v1.publishers.models.html |   30 +-
 docs/dyn/aiplatform_v1.v1.html                |   50 +-
 docs/dyn/aiplatform_v1beta1.endpoints.html    |   30 +-
 ...locations.agentAnomalyDetectionScopes.html |    3 +
 ...orm_v1beta1.projects.locations.agents.html |   16 +
 ...ta1.projects.locations.cachedContents.html |   60 +-
 ...m_v1beta1.projects.locations.datasets.html |   20 +-
 ..._v1beta1.projects.locations.endpoints.html |   30 +-
 ...a1.projects.locations.evaluationItems.html |  496 +-
 ....projects.locations.evaluationMetrics.html | 1772 ++++-
 ...ta1.projects.locations.evaluationRuns.html | 7072 ++++++++++++-----
 ...ta1.projects.locations.evaluationSets.html |   70 +-
 ...aiplatform_v1beta1.projects.locations.html | 1672 +++-
 ...1.projects.locations.onlineEvaluators.html | 1654 +++-
 ....projects.locations.publishers.models.html |   30 +-
 ....locations.semanticGovernancePolicies.html |   16 +-
 ...v1beta1.projects.locations.tuningJobs.html | 2540 +++++-
 ...orm_v1beta1.projects.locations.voices.html |   10 +-
 .../aiplatform_v1beta1.publishers.models.html |   30 +-
 docs/dyn/aiplatform_v1beta1.v1beta1.html      | 1584 +++-
 .../documents/aiplatform.v1.json              |  140 +-
 .../documents/aiplatform.v1beta1.json         |  168 +-
 32 files changed, 14650 insertions(+), 3777 deletions(-)

diff --git a/docs/dyn/aiplatform_v1.endpoints.html b/docs/dyn/aiplatform_v1.endpoints.html
index 31ff268ca6..dd523e512c 100644
--- a/docs/dyn/aiplatform_v1.endpoints.html
+++ b/docs/dyn/aiplatform_v1.endpoints.html
@@ -621,13 +621,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1316,13 +1316,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2349,13 +2349,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.agents.html b/docs/dyn/aiplatform_v1.projects.locations.agents.html
index 7552ad1069..9b4c5b8964 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.agents.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.agents.html
@@ -128,6 +128,10 @@ 
Method Details

   "metadata": { # Optional. The metadata for the agent.
     "a_key": "A String",
   },
+  "modelConfig": { # Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change. # Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own.
+    "model": "A String", # Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form "publishers/{publisher}/models/{model}", e.g. "publishers/anthropic/models/claude-opus-4-8" or "publishers/google/models/gemini-3-flash". Empty means the agent's default gemini model.
+    "temperature": 3.14, # Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.
+  },
   "name": "A String", # Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
   "object": "A String", # Output only. The object type of the resource. For agents, the value is `agent`.
   "observabilityConfig": { # Observability settings for one agent's sessions. # Optional. Observability settings for this agent's sessions.
@@ -236,6 +240,10 @@ 
Method Details

   "metadata": { # Optional. The metadata for the agent.
     "a_key": "A String",
   },
+  "modelConfig": { # Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change. # Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own.
+    "model": "A String", # Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form "publishers/{publisher}/models/{model}", e.g. "publishers/anthropic/models/claude-opus-4-8" or "publishers/google/models/gemini-3-flash". Empty means the agent's default gemini model.
+    "temperature": 3.14, # Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.
+  },
   "name": "A String", # Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
   "object": "A String", # Output only. The object type of the resource. For agents, the value is `agent`.
   "observabilityConfig": { # Observability settings for one agent's sessions. # Optional. Observability settings for this agent's sessions.
@@ -321,6 +329,10 @@ 
Method Details

       "metadata": { # Optional. The metadata for the agent.
         "a_key": "A String",
       },
+      "modelConfig": { # Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change. # Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own.
+        "model": "A String", # Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form "publishers/{publisher}/models/{model}", e.g. "publishers/anthropic/models/claude-opus-4-8" or "publishers/google/models/gemini-3-flash". Empty means the agent's default gemini model.
+        "temperature": 3.14, # Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.
+      },
       "name": "A String", # Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
       "object": "A String", # Output only. The object type of the resource. For agents, the value is `agent`.
       "observabilityConfig": { # Observability settings for one agent's sessions. # Optional. Observability settings for this agent's sessions.
@@ -377,6 +389,10 @@ 
Method Details

   "metadata": { # Optional. The metadata for the agent.
     "a_key": "A String",
   },
+  "modelConfig": { # Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change. # Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own.
+    "model": "A String", # Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form "publishers/{publisher}/models/{model}", e.g. "publishers/anthropic/models/claude-opus-4-8" or "publishers/google/models/gemini-3-flash". Empty means the agent's default gemini model.
+    "temperature": 3.14, # Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.
+  },
   "name": "A String", # Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
   "object": "A String", # Output only. The object type of the resource. For agents, the value is `agent`.
   "observabilityConfig": { # Observability settings for one agent's sessions. # Optional. Observability settings for this agent's sessions.
diff --git a/docs/dyn/aiplatform_v1.projects.locations.cachedContents.html b/docs/dyn/aiplatform_v1.projects.locations.cachedContents.html
index 505564a4fe..86426d669e 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.cachedContents.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.cachedContents.html
@@ -327,13 +327,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -794,13 +794,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1286,13 +1286,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1764,13 +1764,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -2250,13 +2250,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2718,13 +2718,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
index 5f30291d96..5b7d0bf27b 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.endpoints.html
@@ -694,13 +694,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2285,13 +2285,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -4800,13 +4800,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.evaluationItems.html b/docs/dyn/aiplatform_v1.projects.locations.evaluationItems.html
index be9727f283..dd6d3e07f7 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.evaluationItems.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.evaluationItems.html
@@ -120,7 +120,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationItemType": "A String", # Required. The type of the EvaluationItem.
-  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # The request to evaluate.
+  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # The request to evaluate.
     "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
       { # Responses from model or agent.
         "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -137,13 +137,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -378,13 +378,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -743,13 +743,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -984,13 +984,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -1348,13 +1348,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -1589,13 +1589,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -2087,7 +2087,7 @@ 
Method Details

     "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
     "metadata": "", # Optional. Metadata about the evaluation result.
     "metric": "A String", # Required. The metric that was evaluated.
-    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
       "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
         { # Responses from model or agent.
           "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -2104,13 +2104,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -2345,13 +2345,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -2710,13 +2710,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -2951,13 +2951,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -3315,13 +3315,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -3556,13 +3556,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -4045,7 +4045,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationItemType": "A String", # Required. The type of the EvaluationItem.
-  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # The request to evaluate.
+  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # The request to evaluate.
     "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
       { # Responses from model or agent.
         "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -4062,13 +4062,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -4303,13 +4303,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -4668,13 +4668,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -4909,13 +4909,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -5273,13 +5273,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -5514,13 +5514,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -6012,7 +6012,7 @@ 
Method Details

     "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
     "metadata": "", # Optional. Metadata about the evaluation result.
     "metric": "A String", # Required. The metric that was evaluated.
-    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
       "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
         { # Responses from model or agent.
           "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -6029,13 +6029,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -6270,13 +6270,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -6635,13 +6635,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -6876,13 +6876,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -7240,13 +7240,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -7481,13 +7481,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -8012,7 +8012,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationItemType": "A String", # Required. The type of the EvaluationItem.
-  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # The request to evaluate.
+  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # The request to evaluate.
     "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
       { # Responses from model or agent.
         "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -8029,13 +8029,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -8270,13 +8270,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -8635,13 +8635,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -8876,13 +8876,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -9240,13 +9240,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -9481,13 +9481,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -9979,7 +9979,7 @@ 
Method Details

     "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
     "metadata": "", # Optional. Metadata about the evaluation result.
     "metric": "A String", # Required. The metric that was evaluated.
-    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
       "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
         { # Responses from model or agent.
           "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -9996,13 +9996,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -10237,13 +10237,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -10602,13 +10602,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -10843,13 +10843,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -11207,13 +11207,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -11448,13 +11448,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -11950,7 +11950,7 @@ 
Method Details

         "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
       },
       "evaluationItemType": "A String", # Required. The type of the EvaluationItem.
-      "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # The request to evaluate.
+      "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # The request to evaluate.
         "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
           { # Responses from model or agent.
             "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -11967,13 +11967,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -12208,13 +12208,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
@@ -12573,13 +12573,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -12814,13 +12814,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -13178,13 +13178,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -13419,13 +13419,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -13917,7 +13917,7 @@ 
Method Details

         "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
         "metadata": "", # Optional. Metadata about the evaluation result.
         "metric": "A String", # Required. The metric that was evaluated.
-        "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+        "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
           "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
             { # Responses from model or agent.
               "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -13934,13 +13934,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -14175,13 +14175,13 @@ 
Method Details

                           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                             },
-                            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                 "A String",
                               ],
-                              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                              "environment": "A String", # Required. The environment being operated.
-                              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                              "environment": "A String", # Required. The target environment where the computer use tool operates.
+                              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                 "A String",
                               ],
                             },
@@ -14540,13 +14540,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -14781,13 +14781,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
@@ -15145,13 +15145,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -15386,13 +15386,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.evaluationRuns.html b/docs/dyn/aiplatform_v1.projects.locations.evaluationRuns.html
index 60681c90e3..7fec7186b9 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.evaluationRuns.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.evaluationRuns.html
@@ -167,6 +167,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationConfig": { # The Evalution configuration used for the evaluation run. # Optional. The configuration used for the evaluation. Optional when analysis_configs is provided.
+    "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.
     "autoraterConfig": { # The autorater config used for the evaluation run. # Optional. The autorater config for the evaluation run.
       "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
       "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -1955,13 +1956,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -2412,6 +2413,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationConfig": { # The Evalution configuration used for the evaluation run. # Optional. The configuration used for the evaluation. Optional when analysis_configs is provided.
+    "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.
     "autoraterConfig": { # The autorater config used for the evaluation run. # Optional. The autorater config for the evaluation run.
       "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
       "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -4200,13 +4202,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -4699,6 +4701,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationConfig": { # The Evalution configuration used for the evaluation run. # Optional. The configuration used for the evaluation. Optional when analysis_configs is provided.
+    "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.
     "autoraterConfig": { # The autorater config used for the evaluation run. # Optional. The autorater config for the evaluation run.
       "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
       "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -6487,13 +6490,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -6957,6 +6960,7 @@ 
Method Details

         "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
       },
       "evaluationConfig": { # The Evalution configuration used for the evaluation run. # Optional. The configuration used for the evaluation. Optional when analysis_configs is provided.
+        "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.
         "autoraterConfig": { # The autorater config used for the evaluation run. # Optional. The autorater config for the evaluation run.
           "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
           "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -8745,13 +8749,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.evaluationSets.html b/docs/dyn/aiplatform_v1.projects.locations.evaluationSets.html
index 69cb4acfc5..05167b91c3 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.evaluationSets.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.evaluationSets.html
@@ -127,13 +127,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -395,13 +395,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -705,13 +705,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -1007,13 +1007,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -1342,13 +1342,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -1629,13 +1629,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -1898,13 +1898,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.html b/docs/dyn/aiplatform_v1.projects.locations.html
index 15ed854b31..4816b92152 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.html
@@ -398,13 +398,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -696,13 +696,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2634,13 +2634,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -2981,13 +2981,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -3418,13 +3418,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -3659,13 +3659,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -6209,13 +6209,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -6809,7 +6809,7 @@ 
Method Details

         "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
         "metadata": "", # Optional. Metadata about the evaluation result.
         "metric": "A String", # Required. The metric that was evaluated.
-        "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+        "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
           "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
             { # Responses from model or agent.
               "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -6826,13 +6826,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -7067,13 +7067,13 @@ 
Method Details

                           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                             },
-                            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                 "A String",
                               ],
-                              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                              "environment": "A String", # Required. The environment being operated.
-                              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                              "environment": "A String", # Required. The target environment where the computer use tool operates.
+                              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                 "A String",
                               ],
                             },
@@ -7432,13 +7432,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -7673,13 +7673,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
@@ -8037,13 +8037,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -8278,13 +8278,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
@@ -9033,13 +9033,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html b/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html
index af9ee3c61c..1ec1a77554 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.publishers.models.html
@@ -628,13 +628,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1491,13 +1491,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2752,13 +2752,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1.projects.locations.semanticGovernancePolicies.html b/docs/dyn/aiplatform_v1.projects.locations.semanticGovernancePolicies.html
index a579b76b3f..eaf45b27e0 100644
--- a/docs/dyn/aiplatform_v1.projects.locations.semanticGovernancePolicies.html
+++ b/docs/dyn/aiplatform_v1.projects.locations.semanticGovernancePolicies.html
@@ -116,7 +116,7 @@ 
Method Details

     The object takes the form of:
 
 { # Represents a governance policy applied to a specific Agent and optionally a specific Tool within that Agent.
-  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy.
+  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`
   "agentIdentity": "A String", # Output only. Represents the principal of the agent, used by the Policy Decision Point (PDP) for governance checks. For more information, see https://docs.cloud.google.com/agent-builder/agent-engine/agent-identity Format: `principal://TRUST_DOMAIN/NAMESPACE/AGENT_NAME` Example: `principal://agents.global.org-ORGANIZATION_ID.system.id.goog/resources/aiplatform/projects/PROJECT_NUMBER/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID`
   "agentResponseCustomization": { # Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial). # Optional. Settings for customizing the agent's response to end users when this policy is evaluated, such as messages displayed when the policy denies a request.
     "denialMessage": "A String", # Optional. Custom message shown to the end user when the policy check results in a denial. Use this to explain the rationale to the user. Max 1000 characters.
@@ -129,7 +129,7 @@ 
Method Details

   "mcpTools": [ # Optional. The McpTools that are affected by this policy.
     { # Represents a governance policy applied to MCP tools used by an Agent.
       "mcpServer": "A String", # Required. The resource name of the McpServer in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`
-      "tools": [ # Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.
+      "tools": [ # Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.
         "A String",
       ],
     },
@@ -220,7 +220,7 @@ 
Method Details

   An object of the form:
 
     { # Represents a governance policy applied to a specific Agent and optionally a specific Tool within that Agent.
-  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy.
+  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`
   "agentIdentity": "A String", # Output only. Represents the principal of the agent, used by the Policy Decision Point (PDP) for governance checks. For more information, see https://docs.cloud.google.com/agent-builder/agent-engine/agent-identity Format: `principal://TRUST_DOMAIN/NAMESPACE/AGENT_NAME` Example: `principal://agents.global.org-ORGANIZATION_ID.system.id.goog/resources/aiplatform/projects/PROJECT_NUMBER/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID`
   "agentResponseCustomization": { # Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial). # Optional. Settings for customizing the agent's response to end users when this policy is evaluated, such as messages displayed when the policy denies a request.
     "denialMessage": "A String", # Optional. Custom message shown to the end user when the policy check results in a denial. Use this to explain the rationale to the user. Max 1000 characters.
@@ -233,7 +233,7 @@ 
Method Details

   "mcpTools": [ # Optional. The McpTools that are affected by this policy.
     { # Represents a governance policy applied to MCP tools used by an Agent.
       "mcpServer": "A String", # Required. The resource name of the McpServer in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`
-      "tools": [ # Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.
+      "tools": [ # Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.
         "A String",
       ],
     },
@@ -264,7 +264,7 @@ 
Method Details

   "nextPageToken": "A String", # A token to retrieve the next page of results. Pass to ListSemanticGovernancePoliciesRequest.page_token to obtain that page.
   "semanticGovernancePolicies": [ # The list of SemanticGovernancePolicies.
     { # Represents a governance policy applied to a specific Agent and optionally a specific Tool within that Agent.
-      "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy.
+      "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`
       "agentIdentity": "A String", # Output only. Represents the principal of the agent, used by the Policy Decision Point (PDP) for governance checks. For more information, see https://docs.cloud.google.com/agent-builder/agent-engine/agent-identity Format: `principal://TRUST_DOMAIN/NAMESPACE/AGENT_NAME` Example: `principal://agents.global.org-ORGANIZATION_ID.system.id.goog/resources/aiplatform/projects/PROJECT_NUMBER/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID`
       "agentResponseCustomization": { # Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial). # Optional. Settings for customizing the agent's response to end users when this policy is evaluated, such as messages displayed when the policy denies a request.
         "denialMessage": "A String", # Optional. Custom message shown to the end user when the policy check results in a denial. Use this to explain the rationale to the user. Max 1000 characters.
@@ -277,7 +277,7 @@ 
Method Details

       "mcpTools": [ # Optional. The McpTools that are affected by this policy.
         { # Represents a governance policy applied to MCP tools used by an Agent.
           "mcpServer": "A String", # Required. The resource name of the McpServer in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`
-          "tools": [ # Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.
+          "tools": [ # Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.
             "A String",
           ],
         },
@@ -314,7 +314,7 @@ 
Method Details

     The object takes the form of:
 
 { # Represents a governance policy applied to a specific Agent and optionally a specific Tool within that Agent.
-  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy.
+  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`
   "agentIdentity": "A String", # Output only. Represents the principal of the agent, used by the Policy Decision Point (PDP) for governance checks. For more information, see https://docs.cloud.google.com/agent-builder/agent-engine/agent-identity Format: `principal://TRUST_DOMAIN/NAMESPACE/AGENT_NAME` Example: `principal://agents.global.org-ORGANIZATION_ID.system.id.goog/resources/aiplatform/projects/PROJECT_NUMBER/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID`
   "agentResponseCustomization": { # Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial). # Optional. Settings for customizing the agent's response to end users when this policy is evaluated, such as messages displayed when the policy denies a request.
     "denialMessage": "A String", # Optional. Custom message shown to the end user when the policy check results in a denial. Use this to explain the rationale to the user. Max 1000 characters.
@@ -327,7 +327,7 @@ 
Method Details

   "mcpTools": [ # Optional. The McpTools that are affected by this policy.
     { # Represents a governance policy applied to MCP tools used by an Agent.
       "mcpServer": "A String", # Required. The resource name of the McpServer in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`
-      "tools": [ # Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.
+      "tools": [ # Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.
         "A String",
       ],
     },
diff --git a/docs/dyn/aiplatform_v1.publishers.models.html b/docs/dyn/aiplatform_v1.publishers.models.html
index df3743f314..079feb45b2 100644
--- a/docs/dyn/aiplatform_v1.publishers.models.html
+++ b/docs/dyn/aiplatform_v1.publishers.models.html
@@ -614,13 +614,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1309,13 +1309,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2917,13 +2917,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1.v1.html b/docs/dyn/aiplatform_v1.v1.html
index 54a2338226..9f4b083d7a 100644
--- a/docs/dyn/aiplatform_v1.v1.html
+++ b/docs/dyn/aiplatform_v1.v1.html
@@ -1112,13 +1112,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -1459,13 +1459,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -1896,13 +1896,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -2137,13 +2137,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -4686,13 +4686,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
diff --git a/docs/dyn/aiplatform_v1beta1.endpoints.html b/docs/dyn/aiplatform_v1beta1.endpoints.html
index 9ee4128221..2c2a6c69ab 100644
--- a/docs/dyn/aiplatform_v1beta1.endpoints.html
+++ b/docs/dyn/aiplatform_v1beta1.endpoints.html
@@ -627,13 +627,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1334,13 +1334,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2380,13 +2380,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.agentAnomalyDetectionScopes.html b/docs/dyn/aiplatform_v1beta1.projects.locations.agentAnomalyDetectionScopes.html
index b907c47fb2..fa84cfd5cd 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.agentAnomalyDetectionScopes.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.agentAnomalyDetectionScopes.html
@@ -108,6 +108,7 @@ 
Method Details

     The object takes the form of:
 
 { # Represents an Agent Anomaly Detection Scope.
+  "autoEnroll": True or False, # Optional. When true, agents created in Agent Engine that share log and observability buckets with this scope are automatically enrolled as MonitoredAgents. When false, agents must be enrolled explicitly via MonitoredAgent operations.
   "displayName": "A String", # Optional. User-provided display name of the AgentAnomalyDetectionScope.
   "logBuckets": [ # Required. Customer-owned Cloud Logging bucket resource names attached to this scope. Format: `projects/{project}/locations/{location}/buckets/{bucket}`.
     "A String",
@@ -199,6 +200,7 @@ 
Method Details

   An object of the form:
 
     { # Represents an Agent Anomaly Detection Scope.
+  "autoEnroll": True or False, # Optional. When true, agents created in Agent Engine that share log and observability buckets with this scope are automatically enrolled as MonitoredAgents. When false, agents must be enrolled explicitly via MonitoredAgent operations.
   "displayName": "A String", # Optional. User-provided display name of the AgentAnomalyDetectionScope.
   "logBuckets": [ # Required. Customer-owned Cloud Logging bucket resource names attached to this scope. Format: `projects/{project}/locations/{location}/buckets/{bucket}`.
     "A String",
@@ -230,6 +232,7 @@ 
Method Details

     { # Response message for AgentAnomalyDetectionService.ListAgentAnomalyDetectionScopes.
   "agentAnomalyDetectionScopes": [ # A list of AgentAnomalyDetectionScopes that matches the specified filter in the request.
     { # Represents an Agent Anomaly Detection Scope.
+      "autoEnroll": True or False, # Optional. When true, agents created in Agent Engine that share log and observability buckets with this scope are automatically enrolled as MonitoredAgents. When false, agents must be enrolled explicitly via MonitoredAgent operations.
       "displayName": "A String", # Optional. User-provided display name of the AgentAnomalyDetectionScope.
       "logBuckets": [ # Required. Customer-owned Cloud Logging bucket resource names attached to this scope. Format: `projects/{project}/locations/{location}/buckets/{bucket}`.
         "A String",
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.agents.html b/docs/dyn/aiplatform_v1beta1.projects.locations.agents.html
index 6c717d0896..bb09bc3823 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.agents.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.agents.html
@@ -133,6 +133,10 @@ 
Method Details

   "metadata": { # Optional. The metadata for the agent.
     "a_key": "A String",
   },
+  "modelConfig": { # Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change. # Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own.
+    "model": "A String", # Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form "publishers/{publisher}/models/{model}", e.g. "publishers/anthropic/models/claude-opus-4-8" or "publishers/google/models/gemini-3-flash". Empty means the agent's default gemini model.
+    "temperature": 3.14, # Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.
+  },
   "name": "A String", # Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
   "object": "A String", # Output only. The object type of the resource. For agents, the value is `agent`.
   "observabilityConfig": { # Observability settings for one agent's sessions. # Optional. Observability settings for this agent's sessions.
@@ -241,6 +245,10 @@ 
Method Details

   "metadata": { # Optional. The metadata for the agent.
     "a_key": "A String",
   },
+  "modelConfig": { # Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change. # Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own.
+    "model": "A String", # Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form "publishers/{publisher}/models/{model}", e.g. "publishers/anthropic/models/claude-opus-4-8" or "publishers/google/models/gemini-3-flash". Empty means the agent's default gemini model.
+    "temperature": 3.14, # Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.
+  },
   "name": "A String", # Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
   "object": "A String", # Output only. The object type of the resource. For agents, the value is `agent`.
   "observabilityConfig": { # Observability settings for one agent's sessions. # Optional. Observability settings for this agent's sessions.
@@ -326,6 +334,10 @@ 
Method Details

       "metadata": { # Optional. The metadata for the agent.
         "a_key": "A String",
       },
+      "modelConfig": { # Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change. # Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own.
+        "model": "A String", # Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form "publishers/{publisher}/models/{model}", e.g. "publishers/anthropic/models/claude-opus-4-8" or "publishers/google/models/gemini-3-flash". Empty means the agent's default gemini model.
+        "temperature": 3.14, # Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.
+      },
       "name": "A String", # Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
       "object": "A String", # Output only. The object type of the resource. For agents, the value is `agent`.
       "observabilityConfig": { # Observability settings for one agent's sessions. # Optional. Observability settings for this agent's sessions.
@@ -382,6 +394,10 @@ 
Method Details

   "metadata": { # Optional. The metadata for the agent.
     "a_key": "A String",
   },
+  "modelConfig": { # Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change. # Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own.
+    "model": "A String", # Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form "publishers/{publisher}/models/{model}", e.g. "publishers/anthropic/models/claude-opus-4-8" or "publishers/google/models/gemini-3-flash". Empty means the agent's default gemini model.
+    "temperature": 3.14, # Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.
+  },
   "name": "A String", # Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.
   "object": "A String", # Output only. The object type of the resource. For agents, the value is `agent`.
   "observabilityConfig": { # Observability settings for one agent's sessions. # Optional. Observability settings for this agent's sessions.
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.cachedContents.html b/docs/dyn/aiplatform_v1beta1.projects.locations.cachedContents.html
index d1e484097e..24c86e2a06 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.cachedContents.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.cachedContents.html
@@ -329,13 +329,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -805,13 +805,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1306,13 +1306,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1793,13 +1793,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -2288,13 +2288,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2765,13 +2765,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.html b/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.html
index d1c56037e3..3b8515aed3 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.datasets.html
@@ -561,13 +561,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -1252,13 +1252,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html b/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html
index 5718dbbbff..b18932bdba 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.endpoints.html
@@ -709,13 +709,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2526,13 +2526,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -5397,13 +5397,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationItems.html b/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationItems.html
index 95fe117bf8..e807a2b018 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationItems.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationItems.html
@@ -125,7 +125,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationItemType": "A String", # Required. The type of the EvaluationItem.
-  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # The request to evaluate.
+  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # The request to evaluate.
     "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
       { # Responses from model or agent.
         "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -142,13 +142,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -390,13 +390,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -859,13 +859,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -1107,13 +1107,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -1575,13 +1575,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -1823,13 +1823,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -2330,7 +2330,7 @@ 
Method Details

     "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
     "metadata": "", # Optional. Metadata about the evaluation result.
     "metric": "A String", # Required. The metric that was evaluated.
-    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
       "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
         { # Responses from model or agent.
           "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -2347,13 +2347,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -2595,13 +2595,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -3064,13 +3064,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -3312,13 +3312,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -3780,13 +3780,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -4028,13 +4028,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -4526,7 +4526,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationItemType": "A String", # Required. The type of the EvaluationItem.
-  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # The request to evaluate.
+  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # The request to evaluate.
     "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
       { # Responses from model or agent.
         "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -4543,13 +4543,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -4791,13 +4791,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -5260,13 +5260,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -5508,13 +5508,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -5976,13 +5976,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -6224,13 +6224,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -6731,7 +6731,7 @@ 
Method Details

     "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
     "metadata": "", # Optional. Metadata about the evaluation result.
     "metric": "A String", # Required. The metric that was evaluated.
-    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
       "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
         { # Responses from model or agent.
           "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -6748,13 +6748,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -6996,13 +6996,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -7465,13 +7465,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -7713,13 +7713,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -8181,13 +8181,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -8429,13 +8429,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -8969,7 +8969,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationItemType": "A String", # Required. The type of the EvaluationItem.
-  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # The request to evaluate.
+  "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # The request to evaluate.
     "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
       { # Responses from model or agent.
         "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -8986,13 +8986,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -9234,13 +9234,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -9703,13 +9703,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -9951,13 +9951,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -10419,13 +10419,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -10667,13 +10667,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -11174,7 +11174,7 @@ 
Method Details

     "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
     "metadata": "", # Optional. Metadata about the evaluation result.
     "metric": "A String", # Required. The metric that was evaluated.
-    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+    "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
       "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
         { # Responses from model or agent.
           "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -11191,13 +11191,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -11439,13 +11439,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -11908,13 +11908,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -12156,13 +12156,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -12624,13 +12624,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -12872,13 +12872,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -13383,7 +13383,7 @@ 
Method Details

         "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
       },
       "evaluationItemType": "A String", # Required. The type of the EvaluationItem.
-      "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # The request to evaluate.
+      "evaluationRequest": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # The request to evaluate.
         "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
           { # Responses from model or agent.
             "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -13400,13 +13400,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -13648,13 +13648,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
@@ -14117,13 +14117,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -14365,13 +14365,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -14833,13 +14833,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -15081,13 +15081,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -15588,7 +15588,7 @@ 
Method Details

         "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
         "metadata": "", # Optional. Metadata about the evaluation result.
         "metric": "A String", # Required. The metric that was evaluated.
-        "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+        "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
           "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
             { # Responses from model or agent.
               "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -15605,13 +15605,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -15853,13 +15853,13 @@ 
Method Details

                           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                             },
-                            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                 "A String",
                               ],
-                              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                              "environment": "A String", # Required. The environment being operated.
-                              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                              "environment": "A String", # Required. The target environment where the computer use tool operates.
+                              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                 "A String",
                               ],
                             },
@@ -16322,13 +16322,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -16570,13 +16570,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
@@ -17038,13 +17038,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -17286,13 +17286,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationMetrics.html b/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationMetrics.html
index 559286f9e4..bc2bc9d6f2 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationMetrics.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationMetrics.html
@@ -327,6 +327,183 @@ 
Method Details

         "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
           "a_key": "", # Properties of the object.
         },
+        "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+          "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+        },
       },
       "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
         "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -552,83 +729,260 @@ 
Method Details

       "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
         "a_key": "", # Properties of the object.
       },
-    },
-    "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-      "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-      "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-      "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-    },
-  },
-  "name": "A String", # Identifier. The resource name of the EvaluationMetric. Format: `projects/{project}/locations/{location}/evaluationMetrics/{evaluation_metric}`
-  "updateTime": "A String", # Output only. The time when the EvaluationMetric was last updated.
-}
-
-  evaluationMetricId: string, Optional. The ID to use for the EvaluationMetric, which will become the final component of the EvaluationMetric's resource name. This value should be 1-63 characters, and valid characters are /a-z-/. The first character must be a lowercase letter, and the last character must be a lowercase letter or number.
-  x__xgafv: string, V1 error format.
-    Allowed values
-      1 - v1 error format
-      2 - v2 error format
-
-Returns:
-  An object of the form:
-
-    { # EvaluationMetric is a resource that represents a reusable metric configuration.
-  "createTime": "A String", # Output only. The time when the EvaluationMetric was created.
-  "description": "A String", # Optional. A description of the EvaluationMetric.
-  "displayName": "A String", # Required. The user-friendly display name for the EvaluationMetric.
-  "encryptionSpec": { # Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. # Optional. Customer-managed encryption key spec for this EvaluationMetric. If set, this EvaluationMetric will be secured by this key.
-    "kmsKeyName": "A String", # Required. Resource name of the Cloud KMS key used to protect the resource. The Cloud KMS key must be in the same region as the resource. It must have the format `projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}`.
-  },
-  "gcsUri": "A String", # Optional. The Google Cloud Storage URI that stores the metric specification..
-  "labels": { # Optional. Labels for the evaluation metric.
-    "a_key": "A String",
-  },
-  "metric": { # The metric used for running evaluations. # Optional. The metric configuration. Only LLMMetric and CustomCodeExecutionMetric are supported.
-    "aggregationMetrics": [ # Optional. The aggregation metrics to use.
-      "A String",
-    ],
-    "bleuSpec": { # Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1. # Spec for bleu metric.
-      "useEffectiveOrder": True or False, # Optional. Whether to use_effective_order to compute bleu score.
-    },
-    "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
-      "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
-        "a_key": "", # Properties of the object.
-      },
-      "type": "A String", # Required. The type of the computation based metric.
-    },
-    "customCodeExecutionSpec": { # Specificies a metric that is populated by evaluating user-defined Python code. # Spec for Custom Code Execution metric.
-      "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used; requests from regions where the sandbox is unavailable will fail with UNIMPLEMENTED.
-      "evaluationFunction": "A String", # Required. Python function. Expected user to define the following function, e.g.: def evaluate(instance: dict[str, Any]) -> float: Please include this function signature in the code snippet. Instance is the evaluation instance, any fields populated in the instance are available to the function as instance[field_name]. Example: Example input: ``` instance= EvaluationInstance( response=EvaluationInstance.InstanceData(text="The answer is 4."), reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` { 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' == instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file will be converted to dict[str, Any] and passed to the evaluation function.
-    },
-    "exactMatchSpec": { # Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0. # Spec for exact match metric.
-    },
-    "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
-      "additionalConfig": { # Optional. Optional additional configuration for the metric.
-        "a_key": "", # Properties of the object.
-      },
-      "judgeAutoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Optional configuration for the judge LLM (Autorater).
-        "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-        "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
-        "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-          "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-          "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-            "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-              "A String",
-            ],
-            "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-              "A String",
-            ],
-            "diarization": True or False, # Optional. Configures speaker diarization.
-            "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-            },
-            "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-              "A String",
-            ],
-            "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-              "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+      "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+        "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+          "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+          "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+          "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+            "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+            "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+              "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
                 "A String",
               ],
-            },
+              "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                "A String",
+              ],
+              "diarization": True or False, # Optional. Configures speaker diarization.
+              "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+              },
+              "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                "A String",
+              ],
+              "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                  "A String",
+                ],
+              },
+              "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+              "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+            },
+            "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+            "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+            "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+            "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+              "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+              "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                "compressionQuality": 42, # Optional. The compression quality of the output image.
+                "mimeType": "A String", # Optional. The image format that the output should be saved as.
+              },
+              "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+              "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+              "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+            },
+            "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+            "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+            "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+            "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+              "featureSelectionPreference": "A String", # Required. Feature selection preference.
+            },
+            "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+            "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+              { # Configuration for the model to configure output formatting and delivery.
+                "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                  "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "mimeType": "A String", # Optional. The MIME type of the audio output.
+                  "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                },
+                "image": { # Configuration for image-specific output formatting. # Image output format.
+                  "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "imageSize": "A String", # Optional. The size of the image output.
+                  "mimeType": "A String", # Optional. The MIME type of the image output.
+                },
+                "text": { # Configuration for text-specific output formatting. # Text output format.
+                  "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                  "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                },
+                "video": { # Configuration for video-specific output formatting. # Video output format.
+                  "aspectRatio": "A String", # The aspect ratio for the video output.
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "duration": "A String", # Optional. The duration for the video output.
+                  "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                  "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                },
+              },
+            ],
+            "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+            "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+            "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+            "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+              "A String",
+            ],
+            "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+              "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+              "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              ],
+              "default": "", # Optional. Default value to use if the field is not specified.
+              "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              },
+              "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+              "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                "A String",
+              ],
+              "example": "", # Optional. Example of an instance of this schema.
+              "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+              "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+              "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+              "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+              "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+              "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+              "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+              "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+              "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+              "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+              "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+              "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+              "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              },
+              "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                "A String",
+              ],
+              "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+              "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                "A String",
+              ],
+              "title": "A String", # Optional. Title for the schema.
+              "type": "A String", # Optional. Data type of the schema field.
+            },
+            "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+              "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                "modelRoutingPreference": "A String", # The model routing preference.
+              },
+              "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+              },
+            },
+            "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+            "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+              "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+              "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                  { # Configuration for a single speaker in a multi-speaker setup.
+                    "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                    "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                ],
+              },
+              "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                  "voiceName": "A String", # The name of the prebuilt voice to use.
+                },
+                "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                  "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                  "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                },
+                "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+              },
+            },
+            "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+              "A String",
+            ],
+            "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+            "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+              "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+              "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+              "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+            },
+            "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+            "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+            "translationConfig": { # Config for translation features. # Optional. Config for translation.
+              "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+              "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+            },
+          },
+          "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+        },
+      },
+    },
+    "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+      "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+      "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+      "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+    },
+  },
+  "name": "A String", # Identifier. The resource name of the EvaluationMetric. Format: `projects/{project}/locations/{location}/evaluationMetrics/{evaluation_metric}`
+  "updateTime": "A String", # Output only. The time when the EvaluationMetric was last updated.
+}
+
+  evaluationMetricId: string, Optional. The ID to use for the EvaluationMetric, which will become the final component of the EvaluationMetric's resource name. This value should be 1-63 characters, and valid characters are /a-z-/. The first character must be a lowercase letter, and the last character must be a lowercase letter or number.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # EvaluationMetric is a resource that represents a reusable metric configuration.
+  "createTime": "A String", # Output only. The time when the EvaluationMetric was created.
+  "description": "A String", # Optional. A description of the EvaluationMetric.
+  "displayName": "A String", # Required. The user-friendly display name for the EvaluationMetric.
+  "encryptionSpec": { # Represents a customer-managed encryption key specification that can be applied to a Vertex AI resource. # Optional. Customer-managed encryption key spec for this EvaluationMetric. If set, this EvaluationMetric will be secured by this key.
+    "kmsKeyName": "A String", # Required. Resource name of the Cloud KMS key used to protect the resource. The Cloud KMS key must be in the same region as the resource. It must have the format `projects/{project}/locations/{location}/keyRings/{key_ring}/cryptoKeys/{crypto_key}`.
+  },
+  "gcsUri": "A String", # Optional. The Google Cloud Storage URI that stores the metric specification..
+  "labels": { # Optional. Labels for the evaluation metric.
+    "a_key": "A String",
+  },
+  "metric": { # The metric used for running evaluations. # Optional. The metric configuration. Only LLMMetric and CustomCodeExecutionMetric are supported.
+    "aggregationMetrics": [ # Optional. The aggregation metrics to use.
+      "A String",
+    ],
+    "bleuSpec": { # Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1. # Spec for bleu metric.
+      "useEffectiveOrder": True or False, # Optional. Whether to use_effective_order to compute bleu score.
+    },
+    "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
+      "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
+        "a_key": "", # Properties of the object.
+      },
+      "type": "A String", # Required. The type of the computation based metric.
+    },
+    "customCodeExecutionSpec": { # Specificies a metric that is populated by evaluating user-defined Python code. # Spec for Custom Code Execution metric.
+      "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used; requests from regions where the sandbox is unavailable will fail with UNIMPLEMENTED.
+      "evaluationFunction": "A String", # Required. Python function. Expected user to define the following function, e.g.: def evaluate(instance: dict[str, Any]) -> float: Please include this function signature in the code snippet. Instance is the evaluation instance, any fields populated in the instance are available to the function as instance[field_name]. Example: Example input: ``` instance= EvaluationInstance( response=EvaluationInstance.InstanceData(text="The answer is 4."), reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` { 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' == instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file will be converted to dict[str, Any] and passed to the evaluation function.
+    },
+    "exactMatchSpec": { # Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0. # Spec for exact match metric.
+    },
+    "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
+      "additionalConfig": { # Optional. Optional additional configuration for the metric.
+        "a_key": "", # Properties of the object.
+      },
+      "judgeAutoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Optional configuration for the judge LLM (Autorater).
+        "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+        "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+        "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+          "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+          "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+            "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+              "A String",
+            ],
+            "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+              "A String",
+            ],
+            "diarization": True or False, # Optional. Configures speaker diarization.
+            "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+            },
+            "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+              "A String",
+            ],
+            "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+              "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                "A String",
+              ],
+            },
             "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
             "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
           },
@@ -760,42 +1114,437 @@ 
Method Details

                 "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
                 "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
               },
-              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+            },
+          },
+          "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+            "A String",
+          ],
+          "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+          "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+            "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+            "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+            "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+          },
+          "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+          "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+          "translationConfig": { # Config for translation features. # Optional. Config for translation.
+            "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+            "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+          },
+        },
+        "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+      },
+      "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+      "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+        "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+        "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+          "a_key": "", # Properties of the object.
+        },
+        "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+          "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+        },
+      },
+      "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+        "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+          "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+          "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+        },
+      },
+      "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+        "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+          "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+          "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+          "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+            "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+            "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+              "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                "A String",
+              ],
+              "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                "A String",
+              ],
+              "diarization": True or False, # Optional. Configures speaker diarization.
+              "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+              },
+              "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                "A String",
+              ],
+              "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                  "A String",
+                ],
+              },
+              "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+              "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+            },
+            "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+            "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+            "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+            "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+              "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+              "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                "compressionQuality": 42, # Optional. The compression quality of the output image.
+                "mimeType": "A String", # Optional. The image format that the output should be saved as.
+              },
+              "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+              "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+              "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+            },
+            "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+            "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+            "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+            "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+              "featureSelectionPreference": "A String", # Required. Feature selection preference.
+            },
+            "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+            "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+              { # Configuration for the model to configure output formatting and delivery.
+                "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                  "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "mimeType": "A String", # Optional. The MIME type of the audio output.
+                  "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                },
+                "image": { # Configuration for image-specific output formatting. # Image output format.
+                  "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "imageSize": "A String", # Optional. The size of the image output.
+                  "mimeType": "A String", # Optional. The MIME type of the image output.
+                },
+                "text": { # Configuration for text-specific output formatting. # Text output format.
+                  "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                  "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                },
+                "video": { # Configuration for video-specific output formatting. # Video output format.
+                  "aspectRatio": "A String", # The aspect ratio for the video output.
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "duration": "A String", # Optional. The duration for the video output.
+                  "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                  "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                },
+              },
+            ],
+            "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+            "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+            "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+            "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+              "A String",
+            ],
+            "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+              "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+              "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              ],
+              "default": "", # Optional. Default value to use if the field is not specified.
+              "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              },
+              "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+              "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                "A String",
+              ],
+              "example": "", # Optional. Example of an instance of this schema.
+              "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+              "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+              "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+              "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+              "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+              "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+              "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+              "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+              "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+              "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+              "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+              "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+              "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              },
+              "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                "A String",
+              ],
+              "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+              "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                "A String",
+              ],
+              "title": "A String", # Optional. Title for the schema.
+              "type": "A String", # Optional. Data type of the schema field.
+            },
+            "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+              "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                "modelRoutingPreference": "A String", # The model routing preference.
+              },
+              "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+              },
+            },
+            "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+            "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+              "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+              "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                  { # Configuration for a single speaker in a multi-speaker setup.
+                    "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                    "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                ],
+              },
+              "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                  "voiceName": "A String", # The name of the prebuilt voice to use.
+                },
+                "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                  "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                  "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                },
+                "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+              },
+            },
+            "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+              "A String",
+            ],
+            "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+            "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+              "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+              "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+              "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+            },
+            "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+            "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+            "translationConfig": { # Config for translation features. # Optional. Config for translation.
+              "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+              "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
             },
           },
-          "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-            "A String",
-          ],
-          "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-          "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-            "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-            "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-            "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-          },
-          "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-          "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-          "translationConfig": { # Config for translation features. # Optional. Config for translation.
-            "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-            "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-          },
+          "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
         },
-        "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+        "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+        "rubricContentType": "A String", # The type of rubric content to be generated.
+        "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+          "A String",
+        ],
       },
-      "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-      "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-        "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-        "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-          "a_key": "", # Properties of the object.
-        },
+      "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+      "systemInstruction": "A String", # Optional. System instructions for the judge model.
+    },
+    "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
+      "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
+        "a_key": "", # Properties of the object.
       },
-      "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-        "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-          "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-          "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-        },
+      "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
+        "description": "A String", # Optional. The description of the score explaining the directionality etc.
+        "max": 3.14, # Required. The maximum value of the score range (inclusive).
+        "min": 3.14, # Required. The minimum value of the score range (inclusive).
+        "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
       },
-      "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-        "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+      "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
+    },
+    "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
+      "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
+      "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
+      "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
+        "returnRawOutput": True or False, # Optional. Whether to return raw output.
+      },
+      "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
+      "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
+    },
+    "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
+      "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
+        "returnRawOutput": True or False, # Optional. Whether to return raw output.
+      },
+      "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
+      "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
+    },
+    "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
+      "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+      "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+        "a_key": "", # Properties of the object.
+      },
+      "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+        "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
           "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
           "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
           "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -970,47 +1719,6 @@ 
Method Details

           },
           "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
         },
-        "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-        "rubricContentType": "A String", # The type of rubric content to be generated.
-        "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-          "A String",
-        ],
-      },
-      "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-      "systemInstruction": "A String", # Optional. System instructions for the judge model.
-    },
-    "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
-      "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
-        "a_key": "", # Properties of the object.
-      },
-      "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
-        "description": "A String", # Optional. The description of the score explaining the directionality etc.
-        "max": 3.14, # Required. The maximum value of the score range (inclusive).
-        "min": 3.14, # Required. The minimum value of the score range (inclusive).
-        "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
-      },
-      "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
-    },
-    "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
-      "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
-      "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
-      "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
-        "returnRawOutput": True or False, # Optional. Whether to return raw output.
-      },
-      "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
-      "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
-    },
-    "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
-      "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
-        "returnRawOutput": True or False, # Optional. Whether to return raw output.
-      },
-      "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
-      "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
-    },
-    "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
-      "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-      "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-        "a_key": "", # Properties of the object.
       },
     },
     "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
@@ -1248,45 +1956,222 @@ 
Method Details

                       "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
                       "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                     },
-                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+              ],
+            },
+            "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                "voiceName": "A String", # The name of the prebuilt voice to use.
+              },
+              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+              },
+              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+            },
+          },
+          "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+            "A String",
+          ],
+          "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+          "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+            "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+            "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+            "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+          },
+          "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+          "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+          "translationConfig": { # Config for translation features. # Optional. Config for translation.
+            "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+            "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+          },
+        },
+        "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+      },
+      "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+      "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+        "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+        "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+          "a_key": "", # Properties of the object.
+        },
+        "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+          "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                   },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                 },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
               ],
-            },
-            "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                "voiceName": "A String", # The name of the prebuilt voice to use.
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
               },
-              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
               },
-              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
             },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
           },
-          "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-            "A String",
-          ],
-          "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-          "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-            "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-            "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-            "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-          },
-          "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-          "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-          "translationConfig": { # Config for translation features. # Optional. Config for translation.
-            "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-            "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-          },
-        },
-        "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-      },
-      "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-      "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-        "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-        "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-          "a_key": "", # Properties of the object.
         },
       },
       "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
@@ -1513,6 +2398,183 @@ 
Method Details

       "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
         "a_key": "", # Properties of the object.
       },
+      "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+        "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+          "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+          "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+          "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+            "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+            "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+              "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                "A String",
+              ],
+              "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                "A String",
+              ],
+              "diarization": True or False, # Optional. Configures speaker diarization.
+              "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+              },
+              "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                "A String",
+              ],
+              "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                  "A String",
+                ],
+              },
+              "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+              "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+            },
+            "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+            "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+            "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+            "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+              "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+              "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                "compressionQuality": 42, # Optional. The compression quality of the output image.
+                "mimeType": "A String", # Optional. The image format that the output should be saved as.
+              },
+              "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+              "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+              "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+            },
+            "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+            "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+            "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+            "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+              "featureSelectionPreference": "A String", # Required. Feature selection preference.
+            },
+            "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+            "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+              { # Configuration for the model to configure output formatting and delivery.
+                "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                  "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "mimeType": "A String", # Optional. The MIME type of the audio output.
+                  "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                },
+                "image": { # Configuration for image-specific output formatting. # Image output format.
+                  "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "imageSize": "A String", # Optional. The size of the image output.
+                  "mimeType": "A String", # Optional. The MIME type of the image output.
+                },
+                "text": { # Configuration for text-specific output formatting. # Text output format.
+                  "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                  "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                },
+                "video": { # Configuration for video-specific output formatting. # Video output format.
+                  "aspectRatio": "A String", # The aspect ratio for the video output.
+                  "delivery": "A String", # Optional. Delivery mode for the generated content.
+                  "duration": "A String", # Optional. The duration for the video output.
+                  "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                  "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                },
+              },
+            ],
+            "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+            "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+            "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+            "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+              "A String",
+            ],
+            "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+              "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+              "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              ],
+              "default": "", # Optional. Default value to use if the field is not specified.
+              "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              },
+              "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+              "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                "A String",
+              ],
+              "example": "", # Optional. Example of an instance of this schema.
+              "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+              "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+              "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+              "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+              "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+              "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+              "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+              "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+              "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+              "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+              "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+              "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+              "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+              },
+              "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                "A String",
+              ],
+              "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+              "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                "A String",
+              ],
+              "title": "A String", # Optional. Title for the schema.
+              "type": "A String", # Optional. Data type of the schema field.
+            },
+            "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+              "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                "modelRoutingPreference": "A String", # The model routing preference.
+              },
+              "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+              },
+            },
+            "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+            "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+              "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+              "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                  { # Configuration for a single speaker in a multi-speaker setup.
+                    "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                    "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                ],
+              },
+              "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                  "voiceName": "A String", # The name of the prebuilt voice to use.
+                },
+                "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                  "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                  "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                },
+                "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+              },
+            },
+            "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+              "A String",
+            ],
+            "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+            "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+              "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+              "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+              "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+            },
+            "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+            "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+            "translationConfig": { # Config for translation features. # Optional. Config for translation.
+              "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+              "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+            },
+          },
+          "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+        },
+      },
     },
     "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
       "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
@@ -1760,6 +2822,183 @@ 
Method Details

             "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
               "a_key": "", # Properties of the object.
             },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
           },
           "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
             "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -1985,6 +3224,183 @@ 
Method Details

           "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
             "a_key": "", # Properties of the object.
           },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
         },
         "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
           "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationRuns.html b/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationRuns.html
index 34819228fe..11fd783610 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationRuns.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationRuns.html
@@ -172,6 +172,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationConfig": { # The Evalution configuration used for the evaluation run. # Optional. The configuration used for the evaluation. Optional when analysis_configs is provided.
+    "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.
     "autoraterConfig": { # The autorater config used for the evaluation run. # Optional. The autorater config for the evaluation run.
       "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
       "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -562,6 +563,182 @@ 
Method Details

             "parameters": { # Optional. The parameters needed to run the pre-defined metric.
               "a_key": "", # Properties of the object.
             },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+              "a_key": { # The autorater config used for the evaluation run.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
           },
           "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
             "metricResourceName": "A String", # Optional. Resource name of the metric definition.
@@ -953,73 +1130,250 @@ 
Method Details

               "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
                 "a_key": "", # Properties of the object.
               },
-            },
-            "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-              "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-                "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-                "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-              },
-            },
-            "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-              "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
-                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
-                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-                      "A String",
-                    ],
-                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-                      "A String",
-                    ],
-                    "diarization": True or False, # Optional. Configures speaker diarization.
-                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-                    },
-                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-                      "A String",
-                    ],
-                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
                         "A String",
                       ],
-                    },
-                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
-                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
-                  },
-                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
-                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
-                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
-                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
-                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
-                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
-                      "compressionQuality": 42, # Optional. The compression quality of the output image.
-                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
-                    },
-                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
-                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
-                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
-                  },
-                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
-                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
-                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
-                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
-                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
-                  },
-                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
-                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
-                    { # Configuration for the model to configure output formatting and delivery.
-                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
-                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
-                        "delivery": "A String", # Optional. Delivery mode for the generated content.
-                        "mimeType": "A String", # Optional. The MIME type of the audio output.
-                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
                       },
-                      "image": { # Configuration for image-specific output formatting. # Image output format.
-                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
-                        "delivery": "A String", # Optional. Delivery mode for the generated content.
-                        "imageSize": "A String", # Optional. The size of the image output.
-                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                      "A String",
+                    ],
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+              },
+            },
+            "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+              "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+                "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+                "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+              },
+            },
+            "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+              "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
                       },
                       "text": { # Configuration for text-specific output formatting. # Text output format.
                         "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
@@ -1178,235 +1532,220 @@ 
Method Details

             "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
               "a_key": "", # Properties of the object.
             },
-          },
-          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-          },
-        },
-        "metricResourceName": "A String", # Optional. The resource name of the metric definition.
-        "predefinedMetricSpec": { # Specification for a pre-defined metric. # Spec for a pre-defined metric.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
-          },
-        },
-        "rubricBasedMetricSpec": { # Specification for a metric that is based on rubrics. # Spec for rubric based metric.
-          "inlineRubrics": { # Defines a list of rubrics, used when providing rubrics inline. # Use rubrics provided directly in the spec.
-            "rubrics": [ # The list of rubrics.
-              { # Message representing a single testable criterion for evaluation. One input prompt could have multiple rubrics.
-                "content": { # Content of the rubric, defining the testable criteria. # Required. The actual testable criteria for the rubric.
-                  "property": { # Defines criteria based on a specific property. # Evaluation criteria based on a specific property.
-                    "description": "A String", # Description of the property being evaluated. Example: "The model's response is grammatically correct."
-                  },
-                },
-                "importance": "A String", # Optional. The relative importance of this rubric.
-                "rubricId": "A String", # Unique identifier for the rubric. This ID is used to refer to this rubric, e.g., in RubricVerdict.
-                "type": "A String", # Optional. A type designator for the rubric, which can inform how it's evaluated or interpreted by systems or users. It's recommended to use consistent, well-defined, upper snake_case strings. Examples: "SUMMARIZATION_QUALITY", "SAFETY_HARMFUL_CONTENT", "INSTRUCTION_ADHERENCE".
-              },
-            ],
-          },
-          "judgeAutoraterConfig": { # The autorater config used for the evaluation run. # Optional. Optional configuration for the judge LLM (Autorater). The definition of AutoraterConfig needs to be provided.
-            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-                  "A String",
-                ],
-                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-                  "A String",
-                ],
-                "diarization": True or False, # Optional. Configures speaker diarization.
-                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-                },
-                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-                  "A String",
-                ],
-                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
-                    "A String",
-                  ],
-                },
-                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
-                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
-              },
-              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
-              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
-              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
-              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
-                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
-                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
-                  "compressionQuality": 42, # Optional. The compression quality of the output image.
-                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
-                },
-                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
-                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
-                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
-              },
-              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
-              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
-              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
-              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
-                "featureSelectionPreference": "A String", # Required. Feature selection preference.
-              },
-              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
-              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
-                { # Configuration for the model to configure output formatting and delivery.
-                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
-                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "mimeType": "A String", # Optional. The MIME type of the audio output.
-                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
-                  },
-                  "image": { # Configuration for image-specific output formatting. # Image output format.
-                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "imageSize": "A String", # Optional. The size of the image output.
-                    "mimeType": "A String", # Optional. The MIME type of the image output.
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
                   },
-                  "text": { # Configuration for text-specific output formatting. # Text output format.
-                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
-                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
                   },
-                  "video": { # Configuration for video-specific output formatting. # Video output format.
-                    "aspectRatio": "A String", # The aspect ratio for the video output.
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "duration": "A String", # Optional. The duration for the video output.
-                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
-                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
                   },
-                },
-              ],
-              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
-              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
-              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
-              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
-                "A String",
-              ],
-              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
-                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
-                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
-                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
-                ],
-                "default": "", # Optional. Default value to use if the field is not specified.
-                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
-                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
-                },
-                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
-                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
-                  "A String",
-                ],
-                "example": "", # Optional. Example of an instance of this schema.
-                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
-                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
-                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
-                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
-                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
-                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
-                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
-                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
-                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
-                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
-                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
-                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
-                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
-                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
-                },
-                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
-                  "A String",
-                ],
-                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
-                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
-                  "A String",
-                ],
-                "title": "A String", # Optional. Title for the schema.
-                "type": "A String", # Optional. Data type of the schema field.
-              },
-              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
-                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
-                  "modelRoutingPreference": "A String", # The model routing preference.
-                },
-                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
-                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
-                },
-              },
-              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
-              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
-                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
-                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
-                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
-                    { # Configuration for a single speaker in a multi-speaker setup.
-                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
-                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
-                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                          "voiceName": "A String", # The name of the prebuilt voice to use.
-                        },
-                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
-                        },
-                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
                       },
                     },
                   ],
-                },
-                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                    "voiceName": "A String", # The name of the prebuilt voice to use.
-                  },
-                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
-                  },
-                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
-                },
-              },
-              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                "A String",
-              ],
-              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-              },
-              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-              "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-              },
-            },
-            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-          },
-          "metricPromptTemplate": "A String", # Optional. Template for the prompt used by the judge model to evaluate against rubrics.
-          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics for evaluation using this specification.
-            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
-            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
-              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-                    "A String",
-                  ],
-                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-                    "A String",
-                  ],
-                  "diarization": True or False, # Optional. Configures speaker diarization.
-                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-                  },
-                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
                     "A String",
                   ],
-                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
-                      "A String",
-                    ],
-                  },
-                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
+          },
+          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+          },
+        },
+        "metricResourceName": "A String", # Optional. The resource name of the metric definition.
+        "predefinedMetricSpec": { # Specification for a pre-defined metric. # Spec for a pre-defined metric.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+            "a_key": { # The autorater config used for the evaluation run.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
                   "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
                 },
                 "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
@@ -1558,39 +1897,24 @@ 
Method Details

               },
               "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
-            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-              "A String",
-            ],
           },
-          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input content. This refers to a key in the `rubric_groups` map of `RubricEnhancedContents`.
         },
-      },
-    ],
-    "outputConfig": { # The output config for the evaluation run. # Optional. The output config for the evaluation run.
-      "bigqueryDestination": { # The BigQuery location for the output content. # BigQuery destination for evaluation output.
-        "outputUri": "A String", # Required. BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: * BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
-      },
-      "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud Storage destination for evaluation output.
-        "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
-      },
-    },
-    "promptTemplate": { # Prompt template used for inference. # The prompt template used for inference. The values for variables in the prompt template are defined in EvaluationItem.EvaluationPrompt.PromptTemplateData.values.
-      "gcsUri": "A String", # Prompt template stored in Cloud Storage. Format: "gs://my-bucket/file-name.txt".
-      "promptTemplate": "A String", # Inline prompt template. Template variables should be in the format "{var_name}". Example: "Translate the following from {source_lang} to {target_lang}: {text}"
-    },
-    "rubricConfigs": [ # Optional. The rubric configs for the evaluation run. They are used to generate rubrics which can be used by rubric-based metrics. Multiple rubric configs can be specified for rubric generation but only one rubric config can be used for a rubric-based metric. If more than one rubric config is provided, the evaluation metric must specify a rubric group key. Note that if a generation spec is specified on both a rubric config and an evaluation metric, the rubrics generated for the metric will be used for evaluation.
-      { # Configuration for a rubric group to be generated/saved for evaluation.
-        "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
+        "rubricBasedMetricSpec": { # Specification for a metric that is based on rubrics. # Spec for rubric based metric.
+          "inlineRubrics": { # Defines a list of rubrics, used when providing rubrics inline. # Use rubrics provided directly in the spec.
+            "rubrics": [ # The list of rubrics.
+              { # Message representing a single testable criterion for evaluation. One input prompt could have multiple rubrics.
+                "content": { # Content of the rubric, defining the testable criteria. # Required. The actual testable criteria for the rubric.
+                  "property": { # Defines criteria based on a specific property. # Evaluation criteria based on a specific property.
+                    "description": "A String", # Description of the property being evaluated. Example: "The model's response is grammatically correct."
+                  },
+                },
+                "importance": "A String", # Optional. The relative importance of this rubric.
+                "rubricId": "A String", # Unique identifier for the rubric. This ID is used to refer to this rubric, e.g., in RubricVerdict.
+                "type": "A String", # Optional. A type designator for the rubric, which can inform how it's evaluated or interpreted by systems or users. It's recommended to use consistent, well-defined, upper snake_case strings. Examples: "SUMMARIZATION_QUALITY", "SAFETY_HARMFUL_CONTENT", "INSTRUCTION_ADHERENCE".
+              },
+            ],
           },
-        },
-        "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-          "metricResourceName": "A String", # Optional. Resource name of the metric definition.
-          "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+          "judgeAutoraterConfig": { # The autorater config used for the evaluation run. # Optional. Optional configuration for the judge LLM (Autorater). The definition of AutoraterConfig needs to be provided.
             "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
             "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
               "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
@@ -1764,77 +2088,636 @@ 
Method Details

             },
             "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
           },
-          "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-          "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
-          "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-            "A String",
-          ],
-        },
-        "rubricGroupKey": "A String", # Required. The key used to save the generated rubrics. If a generation spec is provided, this key will be used for the name of the generated rubric group. Otherwise, this key will be used to look up the existing rubric group on the evaluation item. Note that if a rubric group key is specified on both a rubric config and an evaluation metric, the key from the metric will be used to select the rubrics for evaluation.
-      },
-    ],
-  },
-  "evaluationExperiment": "A String", # Optional. The resource name of the evaluation experiment for the evaluation run. Setting the evaluation experiment will add the run to the experiment. Multiple runs can be added to the same experiment. Format: `projects/{project}/locations/{location}/evaluationExperiments/{evaluation_experiment}`
-  "evaluationResults": { # The results of the evaluation run. # Output only. The results of the evaluation run. Only populated when the evaluation run's state is SUCCEEDED.
-    "evaluationSet": "A String", # The evaluation set where item level results are stored.
-    "lossAnalysisResults": [ # Output only. The results of the auto-loss analysis performed on the eval set associated with the run.
-      { # The top-level result for loss analysis, stored within an EvalSet.
-        "analysisTime": "A String", # The timestamp when this analysis was performed.
-        "clusters": [ # The list of identified loss clusters.
-          { # Represents a semantic grouping of failures (e.g., "Hallucination of Action").
-            "clusterId": "A String", # Unique identifier for the loss cluster within the scope of the analysis result.
-            "examples": [ # A list of examples that belong to this cluster. This links the cluster back to the specific EvaluationItems and Rubrics.
-              { # Represents a specific example of a loss pattern.
-                "evaluationItem": "A String", # Reference to the persisted EvalItem resource name. Format: projects/.../locations/.../evaluationItems/{item_id} Used when analysis is run on an EvalSet.
-                "evaluationResult": { # Evaluation result. # The full evaluation result object provided inline. Used when the analysis is performed on ephemeral data (without an EvaluationSet).
-                  "candidateResults": [ # Optional. The results for the metric.
-                    { # Result for a single candidate.
-                      "additionalResults": "", # Optional. Additional results for the metric.
-                      "candidate": "A String", # Required. The candidate that is being evaluated. The value is the same as the candidate name in the EvaluationRequest.
-                      "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Error while evaluating the candidate for the metric.
-                        "code": 42, # The status code, which should be an enum value of google.rpc.Code.
-                        "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
-                          {
-                            "a_key": "", # Properties of the object. Contains field @type with type URL.
-                          },
-                        ],
-                        "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
-                      },
-                      "explanation": "A String", # Optional. The explanation for the metric.
-                      "metric": "A String", # Required. The metric that was evaluated.
-                      "rubricVerdicts": [ # Optional. The rubric verdicts for the metric.
-                        { # Represents the verdict of an evaluation against a single rubric.
-                          "evaluatedRubric": { # Message representing a single testable criterion for evaluation. One input prompt could have multiple rubrics. # Required. The full rubric definition that was evaluated. Storing this ensures the verdict is self-contained and understandable, especially if the original rubric definition changes or was dynamically generated.
-                            "content": { # Content of the rubric, defining the testable criteria. # Required. The actual testable criteria for the rubric.
-                              "property": { # Defines criteria based on a specific property. # Evaluation criteria based on a specific property.
-                                "description": "A String", # Description of the property being evaluated. Example: "The model's response is grammatically correct."
-                              },
-                            },
-                            "importance": "A String", # Optional. The relative importance of this rubric.
-                            "rubricId": "A String", # Unique identifier for the rubric. This ID is used to refer to this rubric, e.g., in RubricVerdict.
-                            "type": "A String", # Optional. A type designator for the rubric, which can inform how it's evaluated or interpreted by systems or users. It's recommended to use consistent, well-defined, upper snake_case strings. Examples: "SUMMARIZATION_QUALITY", "SAFETY_HARMFUL_CONTENT", "INSTRUCTION_ADHERENCE".
-                          },
-                          "reasoning": "A String", # Optional. Human-readable reasoning or explanation for the verdict. This can include specific examples or details from the evaluated content that justify the given verdict.
-                          "verdict": True or False, # Required. Outcome of the evaluation against the rubric, represented as a boolean. `true` indicates a "Pass", `false` indicates a "Fail".
-                        },
-                      ],
-                      "score": 3.14, # Optional. The score for the metric.
-                    },
+          "metricPromptTemplate": "A String", # Optional. Template for the prompt used by the judge model to evaluate against rubrics.
+          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics for evaluation using this specification.
+            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
+            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
                   ],
-                  "evaluationRequest": "A String", # Required. The request item that was evaluated. Format: projects/{project}/locations/{location}/evaluationItems/{evaluation_item}
-                  "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
-                  "metadata": "", # Optional. Metadata about the evaluation result.
-                  "metric": "A String", # Required. The metric that was evaluated.
-                  "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
-                    "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
-                      { # Responses from model or agent.
-                        "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
-                          "agents": { # Optional. A map containing the static configurations for each agent in the system. Key: agent_id (matches the `author` field in events). Value: The static configuration of the agent.
-                            "a_key": { # Represents configuration for an Agent.
-                              "agentId": "A String", # Required. Unique identifier of the agent. This ID is used to refer to this agent, e.g., in AgentEvent.author, or in the `sub_agents` field. It must be unique within the `agents` map.
-                              "agentType": "A String", # Optional. The type or class of the agent (e.g., "LlmAgent", "RouterAgent", "ToolUseAgent"). Useful for the autorater to understand the expected behavior of the agent.
-                              "description": "A String", # Optional. A high-level description of the agent's role and responsibilities. Critical for evaluating if the agent is routing tasks correctly.
-                              "instruction": "A String", # Optional. Provides instructions for the LLM model, guiding the agent's behavior. Can be static or dynamic. Dynamic instructions can contain placeholders like {variable_name} that will be resolved at runtime using the `AgentEvent.state_delta` field.
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
+            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+              "A String",
+            ],
+          },
+          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input content. This refers to a key in the `rubric_groups` map of `RubricEnhancedContents`.
+        },
+      },
+    ],
+    "outputConfig": { # The output config for the evaluation run. # Optional. The output config for the evaluation run.
+      "bigqueryDestination": { # The BigQuery location for the output content. # BigQuery destination for evaluation output.
+        "outputUri": "A String", # Required. BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: * BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
+      },
+      "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud Storage destination for evaluation output.
+        "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
+      },
+    },
+    "promptTemplate": { # Prompt template used for inference. # The prompt template used for inference. The values for variables in the prompt template are defined in EvaluationItem.EvaluationPrompt.PromptTemplateData.values.
+      "gcsUri": "A String", # Prompt template stored in Cloud Storage. Format: "gs://my-bucket/file-name.txt".
+      "promptTemplate": "A String", # Inline prompt template. Template variables should be in the format "{var_name}". Example: "Translate the following from {source_lang} to {target_lang}: {text}"
+    },
+    "rubricConfigs": [ # Optional. The rubric configs for the evaluation run. They are used to generate rubrics which can be used by rubric-based metrics. Multiple rubric configs can be specified for rubric generation but only one rubric config can be used for a rubric-based metric. If more than one rubric config is provided, the evaluation metric must specify a rubric group key. Note that if a generation spec is specified on both a rubric config and an evaluation metric, the rubrics generated for the metric will be used for evaluation.
+      { # Configuration for a rubric group to be generated/saved for evaluation.
+        "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+            "a_key": { # The autorater config used for the evaluation run.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
+        },
+        "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+          "metricResourceName": "A String", # Optional. Resource name of the metric definition.
+          "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+          "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+          "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
+          "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+            "A String",
+          ],
+        },
+        "rubricGroupKey": "A String", # Required. The key used to save the generated rubrics. If a generation spec is provided, this key will be used for the name of the generated rubric group. Otherwise, this key will be used to look up the existing rubric group on the evaluation item. Note that if a rubric group key is specified on both a rubric config and an evaluation metric, the key from the metric will be used to select the rubrics for evaluation.
+      },
+    ],
+  },
+  "evaluationExperiment": "A String", # Optional. The resource name of the evaluation experiment for the evaluation run. Setting the evaluation experiment will add the run to the experiment. Multiple runs can be added to the same experiment. Format: `projects/{project}/locations/{location}/evaluationExperiments/{evaluation_experiment}`
+  "evaluationResults": { # The results of the evaluation run. # Output only. The results of the evaluation run. Only populated when the evaluation run's state is SUCCEEDED.
+    "evaluationSet": "A String", # The evaluation set where item level results are stored.
+    "lossAnalysisResults": [ # Output only. The results of the auto-loss analysis performed on the eval set associated with the run.
+      { # The top-level result for loss analysis, stored within an EvalSet.
+        "analysisTime": "A String", # The timestamp when this analysis was performed.
+        "clusters": [ # The list of identified loss clusters.
+          { # Represents a semantic grouping of failures (e.g., "Hallucination of Action").
+            "clusterId": "A String", # Unique identifier for the loss cluster within the scope of the analysis result.
+            "examples": [ # A list of examples that belong to this cluster. This links the cluster back to the specific EvaluationItems and Rubrics.
+              { # Represents a specific example of a loss pattern.
+                "evaluationItem": "A String", # Reference to the persisted EvalItem resource name. Format: projects/.../locations/.../evaluationItems/{item_id} Used when analysis is run on an EvalSet.
+                "evaluationResult": { # Evaluation result. # The full evaluation result object provided inline. Used when the analysis is performed on ephemeral data (without an EvaluationSet).
+                  "candidateResults": [ # Optional. The results for the metric.
+                    { # Result for a single candidate.
+                      "additionalResults": "", # Optional. Additional results for the metric.
+                      "candidate": "A String", # Required. The candidate that is being evaluated. The value is the same as the candidate name in the EvaluationRequest.
+                      "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # Output only. Error while evaluating the candidate for the metric.
+                        "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+                        "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+                          {
+                            "a_key": "", # Properties of the object. Contains field @type with type URL.
+                          },
+                        ],
+                        "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+                      },
+                      "explanation": "A String", # Optional. The explanation for the metric.
+                      "metric": "A String", # Required. The metric that was evaluated.
+                      "rubricVerdicts": [ # Optional. The rubric verdicts for the metric.
+                        { # Represents the verdict of an evaluation against a single rubric.
+                          "evaluatedRubric": { # Message representing a single testable criterion for evaluation. One input prompt could have multiple rubrics. # Required. The full rubric definition that was evaluated. Storing this ensures the verdict is self-contained and understandable, especially if the original rubric definition changes or was dynamically generated.
+                            "content": { # Content of the rubric, defining the testable criteria. # Required. The actual testable criteria for the rubric.
+                              "property": { # Defines criteria based on a specific property. # Evaluation criteria based on a specific property.
+                                "description": "A String", # Description of the property being evaluated. Example: "The model's response is grammatically correct."
+                              },
+                            },
+                            "importance": "A String", # Optional. The relative importance of this rubric.
+                            "rubricId": "A String", # Unique identifier for the rubric. This ID is used to refer to this rubric, e.g., in RubricVerdict.
+                            "type": "A String", # Optional. A type designator for the rubric, which can inform how it's evaluated or interpreted by systems or users. It's recommended to use consistent, well-defined, upper snake_case strings. Examples: "SUMMARIZATION_QUALITY", "SAFETY_HARMFUL_CONTENT", "INSTRUCTION_ADHERENCE".
+                          },
+                          "reasoning": "A String", # Optional. Human-readable reasoning or explanation for the verdict. This can include specific examples or details from the evaluated content that justify the given verdict.
+                          "verdict": True or False, # Required. Outcome of the evaluation against the rubric, represented as a boolean. `true` indicates a "Pass", `false` indicates a "Fail".
+                        },
+                      ],
+                      "score": 3.14, # Optional. The score for the metric.
+                    },
+                  ],
+                  "evaluationRequest": "A String", # Required. The request item that was evaluated. Format: projects/{project}/locations/{location}/evaluationItems/{evaluation_item}
+                  "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
+                  "metadata": "", # Optional. Metadata about the evaluation result.
+                  "metric": "A String", # Required. The metric that was evaluated.
+                  "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
+                    "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
+                      { # Responses from model or agent.
+                        "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
+                          "agents": { # Optional. A map containing the static configurations for each agent in the system. Key: agent_id (matches the `author` field in events). Value: The static configuration of the agent.
+                            "a_key": { # Represents configuration for an Agent.
+                              "agentId": "A String", # Required. Unique identifier of the agent. This ID is used to refer to this agent, e.g., in AgentEvent.author, or in the `sub_agents` field. It must be unique within the `agents` map.
+                              "agentType": "A String", # Optional. The type or class of the agent (e.g., "LlmAgent", "RouterAgent", "ToolUseAgent"). Useful for the autorater to understand the expected behavior of the agent.
+                              "description": "A String", # Optional. A high-level description of the agent's role and responsibilities. Critical for evaluating if the agent is routing tasks correctly.
+                              "instruction": "A String", # Optional. Provides instructions for the LLM model, guiding the agent's behavior. Can be static or dynamic. Dynamic instructions can contain placeholders like {variable_name} that will be resolved at runtime using the `AgentEvent.state_delta` field.
                               "subAgents": [ # Optional. The list of valid agent IDs that this agent can delegate to. This defines the directed edges in the multi-agent system graph topology.
                                 "A String",
                               ],
@@ -1842,13 +2725,13 @@ 
Method Details

                                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                   },
-                                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                       "A String",
                                     ],
-                                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                    "environment": "A String", # Required. The environment being operated.
-                                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                       "A String",
                                     ],
                                   },
@@ -2090,13 +2973,13 @@ 
Method Details

                                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                       },
-                                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                           "A String",
                                         ],
-                                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                        "environment": "A String", # Required. The environment being operated.
-                                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                           "A String",
                                         ],
                                       },
@@ -2559,13 +3442,13 @@ 
Method Details

                               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                 },
-                                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                     "A String",
                                   ],
-                                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                  "environment": "A String", # Required. The environment being operated.
-                                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                     "A String",
                                   ],
                                 },
@@ -2807,13 +3690,13 @@ 
Method Details

                                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                     },
-                                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                         "A String",
                                       ],
-                                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                      "environment": "A String", # Required. The environment being operated.
-                                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                         "A String",
                                       ],
                                     },
@@ -3275,13 +4158,13 @@ 
Method Details

                               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                 },
-                                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                     "A String",
                                   ],
-                                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                  "environment": "A String", # Required. The environment being operated.
-                                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                     "A String",
                                   ],
                                 },
@@ -3523,13 +4406,13 @@ 
Method Details

                                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                     },
-                                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                         "A String",
                                       ],
-                                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                      "environment": "A String", # Required. The environment being operated.
-                                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                         "A String",
                                       ],
                                     },
@@ -4124,13 +5007,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -4568,13 +5451,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -5035,6 +5918,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationConfig": { # The Evalution configuration used for the evaluation run. # Optional. The configuration used for the evaluation. Optional when analysis_configs is provided.
+    "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.
     "autoraterConfig": { # The autorater config used for the evaluation run. # Optional. The autorater config for the evaluation run.
       "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
       "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -5160,276 +6044,660 @@ 
Method Details

             "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
           },
         },
-        "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
-        "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
-          "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
-          "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
-            "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
-              { # Configuration for a single speaker in a multi-speaker setup.
-                "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
-                "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+        "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+        "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+          "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+          "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+            "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+              { # Configuration for a single speaker in a multi-speaker setup.
+                "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+            ],
+          },
+          "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+              "voiceName": "A String", # The name of the prebuilt voice to use.
+            },
+            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+            },
+            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+          },
+        },
+        "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+          "A String",
+        ],
+        "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+        "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+          "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+          "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+          "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+        },
+        "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+        "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+        "translationConfig": { # Config for translation features. # Optional. Config for translation.
+          "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+          "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+        },
+      },
+      "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+    },
+    "cloudLoggingConfig": { # Specifies configuration for exporting evaluation results to Cloud Logging. # Optional. Configuration for exporting evaluation results to Cloud Logging.
+      "project": "A String", # Optional. Google Cloud project to write logs to. Defaults to the request project.
+      "resourceLabels": { # Optional. MonitoredResource labels to associate the log with. The backend will automatically inject project and location.
+        "a_key": "A String",
+      },
+      "resourceType": "A String", # Optional. MonitoredResource type. Defaults to "global" if unspecified.
+      "tracingContext": { # Tracing context for Observability correlation. # Optional. Tracing context for the evaluation run.
+        "conversationId": "A String", # Optional. Unique identifier for a conversation (session thread), used to store and correlate messages within a conversation. The value corresponds to the `gen_ai.conversation.id` field in the the OpenTelemetry GenAI attributes.
+        "spanId": "A String", # Optional. ID of the Cloud Trace span associated with the current operation in which the log is being written. e.g., `7a2190356c3fc94b`. If a span is being evaluated, this field should be populated.
+        "traceId": "A String", # Optional. Trace ID being written to Cloud Trace in association with this log entry. e.g., `12345`, the numeric ID from the resource name. If a trace or span is being evaluated, this field should be populated.
+      },
+    },
+    "datasetCustomMetrics": [ # Optional. Specifications for custom dataset-level aggregations.
+      { # Defines a custom dataset-level aggregation.
+        "aggregationFunction": "A String", # Required. The Python code string containing the aggregation function. Expected function signature: `def aggregate(instances: list[dict[str, Any]]) -> dict[str, float]:` The `instances` argument is a list of dictionaries, where each dictionary represents a single evaluation result item. The structure of each dictionary corresponds to the fields in the `EvaluationResult` message. This includes: - `"request"`: Contains the original input data and model inputs (from `EvaluationResult.EvaluationRequest`). - `"candidate_results"`: Contains the results of any instance-level metrics (from `EvaluationResult.CandidateResults`). Example of a single item in the `instances` list: { "request": { "prompt": {"text": "What is the capital of France?"}, "golden_response": {"text": "Paris"}, "candidate_responses": [{"candidate": "model-v1", "text": "Paris"}] }, "candidate_results": [ {"metric": "exact_match", "score": 1.0}, {"metric": "bleu", "score": 0.9} ] }
+        "displayName": "A String", # Optional. A display name for this custom summary metric. Used to prefix keys in the output summaryMetrics map. If not provided, a default name like "dataset_custom_metric_1", "dataset_custom_metric_2", etc., will be generated based on the order in the repeated field.
+      },
+    ],
+    "lossAnalysisConfig": [ # Optional. Specifications for loss analysis. Each config can be specified for one metric.
+      { # Configuration for the loss analysis job.
+        "candidate": "A String", # Required. The candidate model/agent to analyze (e.g., "gemini-3.0-pro"). This targets the specific CandidateResult within the EvaluationResult.
+        "metric": "A String", # Required. The metric to analyze (e.g., "tool_use_quality"). This filters the EvaluationItems in the EvalSet to only those where EvaluationResult.metric matches this value.
+      },
+    ],
+    "metrics": [ # Optional. The metrics to be calculated in the evaluation run. Required when analysis_configs is not set.
+      { # The metric used for evaluation runs.
+        "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
+          "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
+            "a_key": "", # Properties of the object.
+          },
+          "type": "A String", # Required. The type of the computation based metric.
+        },
+        "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
+          "additionalConfig": { # Optional. Optional additional configuration for the metric.
+            "a_key": "", # Properties of the object.
+          },
+          "judgeAutoraterConfig": { # The autorater config used for the evaluation run. # Optional. Optional configuration for the judge LLM (Autorater).
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
                   "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
                     "voiceName": "A String", # The name of the prebuilt voice to use.
                   },
-                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+          "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+            "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+              "a_key": "", # Properties of the object.
+            },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+              "a_key": { # The autorater config used for the evaluation run.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
-                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                 },
+                "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
               },
-            ],
-          },
-          "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-              "voiceName": "A String", # The name of the prebuilt voice to use.
-            },
-            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
             },
-            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
-          },
-        },
-        "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-          "A String",
-        ],
-        "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-        "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-          "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-          "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-          "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-        },
-        "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-        "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-        "translationConfig": { # Config for translation features. # Optional. Config for translation.
-          "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-          "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-        },
-      },
-      "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-    },
-    "cloudLoggingConfig": { # Specifies configuration for exporting evaluation results to Cloud Logging. # Optional. Configuration for exporting evaluation results to Cloud Logging.
-      "project": "A String", # Optional. Google Cloud project to write logs to. Defaults to the request project.
-      "resourceLabels": { # Optional. MonitoredResource labels to associate the log with. The backend will automatically inject project and location.
-        "a_key": "A String",
-      },
-      "resourceType": "A String", # Optional. MonitoredResource type. Defaults to "global" if unspecified.
-      "tracingContext": { # Tracing context for Observability correlation. # Optional. Tracing context for the evaluation run.
-        "conversationId": "A String", # Optional. Unique identifier for a conversation (session thread), used to store and correlate messages within a conversation. The value corresponds to the `gen_ai.conversation.id` field in the the OpenTelemetry GenAI attributes.
-        "spanId": "A String", # Optional. ID of the Cloud Trace span associated with the current operation in which the log is being written. e.g., `7a2190356c3fc94b`. If a span is being evaluated, this field should be populated.
-        "traceId": "A String", # Optional. Trace ID being written to Cloud Trace in association with this log entry. e.g., `12345`, the numeric ID from the resource name. If a trace or span is being evaluated, this field should be populated.
-      },
-    },
-    "datasetCustomMetrics": [ # Optional. Specifications for custom dataset-level aggregations.
-      { # Defines a custom dataset-level aggregation.
-        "aggregationFunction": "A String", # Required. The Python code string containing the aggregation function. Expected function signature: `def aggregate(instances: list[dict[str, Any]]) -> dict[str, float]:` The `instances` argument is a list of dictionaries, where each dictionary represents a single evaluation result item. The structure of each dictionary corresponds to the fields in the `EvaluationResult` message. This includes: - `"request"`: Contains the original input data and model inputs (from `EvaluationResult.EvaluationRequest`). - `"candidate_results"`: Contains the results of any instance-level metrics (from `EvaluationResult.CandidateResults`). Example of a single item in the `instances` list: { "request": { "prompt": {"text": "What is the capital of France?"}, "golden_response": {"text": "Paris"}, "candidate_responses": [{"candidate": "model-v1", "text": "Paris"}] }, "candidate_results": [ {"metric": "exact_match", "score": 1.0}, {"metric": "bleu", "score": 0.9} ] }
-        "displayName": "A String", # Optional. A display name for this custom summary metric. Used to prefix keys in the output summaryMetrics map. If not provided, a default name like "dataset_custom_metric_1", "dataset_custom_metric_2", etc., will be generated based on the order in the repeated field.
-      },
-    ],
-    "lossAnalysisConfig": [ # Optional. Specifications for loss analysis. Each config can be specified for one metric.
-      { # Configuration for the loss analysis job.
-        "candidate": "A String", # Required. The candidate model/agent to analyze (e.g., "gemini-3.0-pro"). This targets the specific CandidateResult within the EvaluationResult.
-        "metric": "A String", # Required. The metric to analyze (e.g., "tool_use_quality"). This filters the EvaluationItems in the EvalSet to only those where EvaluationResult.metric matches this value.
-      },
-    ],
-    "metrics": [ # Optional. The metrics to be calculated in the evaluation run. Required when analysis_configs is not set.
-      { # The metric used for evaluation runs.
-        "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
-          "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
-            "a_key": "", # Properties of the object.
-          },
-          "type": "A String", # Required. The type of the computation based metric.
-        },
-        "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
-          "additionalConfig": { # Optional. Optional additional configuration for the metric.
-            "a_key": "", # Properties of the object.
           },
-          "judgeAutoraterConfig": { # The autorater config used for the evaluation run. # Optional. Optional configuration for the judge LLM (Autorater).
-            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-                  "A String",
-                ],
-                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-                  "A String",
-                ],
-                "diarization": True or False, # Optional. Configures speaker diarization.
-                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-                },
-                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-                  "A String",
-                ],
-                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
+            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
                     "A String",
                   ],
-                },
-                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
-                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
-              },
-              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
-              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
-              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
-              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
-                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
-                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
-                  "compressionQuality": 42, # Optional. The compression quality of the output image.
-                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
-                },
-                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
-                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
-                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
-              },
-              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
-              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
-              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
-              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
-                "featureSelectionPreference": "A String", # Required. Feature selection preference.
-              },
-              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
-              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
-                { # Configuration for the model to configure output formatting and delivery.
-                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
-                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "mimeType": "A String", # Optional. The MIME type of the audio output.
-                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
-                  },
-                  "image": { # Configuration for image-specific output formatting. # Image output format.
-                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "imageSize": "A String", # Optional. The size of the image output.
-                    "mimeType": "A String", # Optional. The MIME type of the image output.
-                  },
-                  "text": { # Configuration for text-specific output formatting. # Text output format.
-                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
-                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
                   },
-                  "video": { # Configuration for video-specific output formatting. # Video output format.
-                    "aspectRatio": "A String", # The aspect ratio for the video output.
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "duration": "A String", # Optional. The duration for the video output.
-                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
-                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
                   },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
                 },
-              ],
-              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
-              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
-              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
-              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
-                "A String",
-              ],
-              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
-                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
-                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
-                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
-                ],
-                "default": "", # Optional. Default value to use if the field is not specified.
-                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
-                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
                 },
-                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
-                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
-                  "A String",
-                ],
-                "example": "", # Optional. Example of an instance of this schema.
-                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
-                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
-                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
-                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
-                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
-                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
-                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
-                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
-                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
-                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
-                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
-                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
-                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
-                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
                 },
-                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
-                  "A String",
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
                 ],
-                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
-                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
                   "A String",
                 ],
-                "title": "A String", # Optional. Title for the schema.
-                "type": "A String", # Optional. Data type of the schema field.
-              },
-              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
-                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
-                  "modelRoutingPreference": "A String", # The model routing preference.
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
                 },
-                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
-                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
                 },
-              },
-              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
-              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
-                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
-                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
-                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
-                    { # Configuration for a single speaker in a multi-speaker setup.
-                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
-                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
-                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                          "voiceName": "A String", # The name of the prebuilt voice to use.
-                        },
-                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                         },
-                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                       },
-                    },
-                  ],
-                },
-                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                    ],
                   },
-                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                   },
-                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                 },
               },
-              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                "A String",
-              ],
-              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-              },
-              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-              "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-              },
+              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
+            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+              "A String",
+            ],
+          },
+          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+          "systemInstruction": "A String", # Optional. System instructions for the judge model.
+        },
+        "metric": "A String", # Required. The name of the metric.
+        "metricConfig": { # The metric used for running evaluations. # The metric config.
+          "aggregationMetrics": [ # Optional. The aggregation metrics to use.
+            "A String",
+          ],
+          "bleuSpec": { # Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1. # Spec for bleu metric.
+            "useEffectiveOrder": True or False, # Optional. Whether to use_effective_order to compute bleu score.
+          },
+          "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
+            "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
+              "a_key": "", # Properties of the object.
+            },
+            "type": "A String", # Required. The type of the computation based metric.
+          },
+          "customCodeExecutionSpec": { # Specificies a metric that is populated by evaluating user-defined Python code. # Spec for Custom Code Execution metric.
+            "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used; requests from regions where the sandbox is unavailable will fail with UNIMPLEMENTED.
+            "evaluationFunction": "A String", # Required. Python function. Expected user to define the following function, e.g.: def evaluate(instance: dict[str, Any]) -> float: Please include this function signature in the code snippet. Instance is the evaluation instance, any fields populated in the instance are available to the function as instance[field_name]. Example: Example input: ``` instance= EvaluationInstance( response=EvaluationInstance.InstanceData(text="The answer is 4."), reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` { 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' == instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file will be converted to dict[str, Any] and passed to the evaluation function.
           },
-          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-          "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-            "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+          "exactMatchSpec": { # Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0. # Spec for exact match metric.
+          },
+          "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
+            "additionalConfig": { # Optional. Optional additional configuration for the metric.
               "a_key": "", # Properties of the object.
             },
-          },
-          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
-            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+            "judgeAutoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Optional configuration for the judge LLM (Autorater).
               "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
               "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
                 "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
                 "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
@@ -5600,231 +6868,418 @@ 
Method Details

                   "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                 },
               },
-              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-            },
-            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
-            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-              "A String",
-            ],
-          },
-          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-          "systemInstruction": "A String", # Optional. System instructions for the judge model.
-        },
-        "metric": "A String", # Required. The name of the metric.
-        "metricConfig": { # The metric used for running evaluations. # The metric config.
-          "aggregationMetrics": [ # Optional. The aggregation metrics to use.
-            "A String",
-          ],
-          "bleuSpec": { # Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1. # Spec for bleu metric.
-            "useEffectiveOrder": True or False, # Optional. Whether to use_effective_order to compute bleu score.
-          },
-          "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
-            "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
-              "a_key": "", # Properties of the object.
-            },
-            "type": "A String", # Required. The type of the computation based metric.
-          },
-          "customCodeExecutionSpec": { # Specificies a metric that is populated by evaluating user-defined Python code. # Spec for Custom Code Execution metric.
-            "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used; requests from regions where the sandbox is unavailable will fail with UNIMPLEMENTED.
-            "evaluationFunction": "A String", # Required. Python function. Expected user to define the following function, e.g.: def evaluate(instance: dict[str, Any]) -> float: Please include this function signature in the code snippet. Instance is the evaluation instance, any fields populated in the instance are available to the function as instance[field_name]. Example: Example input: ``` instance= EvaluationInstance( response=EvaluationInstance.InstanceData(text="The answer is 4."), reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` { 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' == instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file will be converted to dict[str, Any] and passed to the evaluation function.
-          },
-          "exactMatchSpec": { # Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0. # Spec for exact match metric.
-          },
-          "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
-            "additionalConfig": { # Optional. Optional additional configuration for the metric.
-              "a_key": "", # Properties of the object.
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "judgeAutoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Optional configuration for the judge LLM (Autorater).
-              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
-              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-                    "A String",
-                  ],
-                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-                    "A String",
-                  ],
-                  "diarization": True or False, # Optional. Configures speaker diarization.
-                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-                  },
-                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-                    "A String",
-                  ],
-                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+            "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+            "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+              "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+              "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                "a_key": "", # Properties of the object.
+              },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
                       "A String",
                     ],
-                  },
-                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
-                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
-                },
-                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
-                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
-                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
-                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
-                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
-                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
-                    "compressionQuality": 42, # Optional. The compression quality of the output image.
-                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
-                  },
-                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
-                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
-                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
-                },
-                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
-                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
-                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
-                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
-                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
-                },
-                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
-                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
-                  { # Configuration for the model to configure output formatting and delivery.
-                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
-                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
-                      "delivery": "A String", # Optional. Delivery mode for the generated content.
-                      "mimeType": "A String", # Optional. The MIME type of the audio output.
-                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
                     },
-                    "image": { # Configuration for image-specific output formatting. # Image output format.
-                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
-                      "delivery": "A String", # Optional. Delivery mode for the generated content.
-                      "imageSize": "A String", # Optional. The size of the image output.
-                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
                     },
-                    "text": { # Configuration for text-specific output formatting. # Text output format.
-                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
-                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                     },
-                    "video": { # Configuration for video-specific output formatting. # Video output format.
-                      "aspectRatio": "A String", # The aspect ratio for the video output.
-                      "delivery": "A String", # Optional. Delivery mode for the generated content.
-                      "duration": "A String", # Optional. The duration for the video output.
-                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
-                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+              },
+            },
+            "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+              "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+                "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+                "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+              },
+            },
+            "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+              "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
                     },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
                   },
-                ],
-                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
-                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
-                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
-                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
-                  "A String",
-                ],
-                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
-                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
-                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
-                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
-                  ],
-                  "default": "", # Optional. Default value to use if the field is not specified.
-                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
-                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
                   },
-                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
-                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
-                    "A String",
-                  ],
-                  "example": "", # Optional. Example of an instance of this schema.
-                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
-                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
-                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
-                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
-                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
-                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
-                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
-                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
-                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
-                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
-                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
-                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
-                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
-                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
                   },
-                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
-                    "A String",
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
                   ],
-                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
-                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
                     "A String",
                   ],
-                  "title": "A String", # Optional. Title for the schema.
-                  "type": "A String", # Optional. Data type of the schema field.
-                },
-                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
-                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
-                    "modelRoutingPreference": "A String", # The model routing preference.
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
                   },
-                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
-                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
                   },
-                },
-                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
-                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
-                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
-                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
-                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
-                      { # Configuration for a single speaker in a multi-speaker setup.
-                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
-                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
-                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                            "voiceName": "A String", # The name of the prebuilt voice to use.
-                          },
-                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                           },
-                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                         },
-                      },
-                    ],
-                  },
-                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                      ],
                     },
-                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                     },
-                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
                 },
-                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                  "A String",
-                ],
-                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-                },
-                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-                "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
               },
-              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+              "rubricContentType": "A String", # The type of rubric content to be generated.
+              "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+                "A String",
+              ],
             },
-            "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-            "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-              "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-              "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                "a_key": "", # Properties of the object.
-              },
+            "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+            "systemInstruction": "A String", # Optional. System instructions for the judge model.
+          },
+          "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
+            "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
+              "a_key": "", # Properties of the object.
             },
-            "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-              "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-                "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-                "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-              },
+            "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
+              "description": "A String", # Optional. The description of the score explaining the directionality etc.
+              "max": 3.14, # Required. The maximum value of the score range (inclusive).
+              "min": 3.14, # Required. The minimum value of the score range (inclusive).
+              "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
             },
-            "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-              "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+            "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
+          },
+          "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
+            "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
+            "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
+            "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
+              "returnRawOutput": True or False, # Optional. Whether to return raw output.
+            },
+            "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
+            "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
+          },
+          "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
+            "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
+              "returnRawOutput": True or False, # Optional. Whether to return raw output.
+            },
+            "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
+            "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
+          },
+          "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
+            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+              "a_key": "", # Properties of the object.
+            },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
                 "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
                 "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
                 "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -5978,82 +7433,217 @@ 
Method Details

                         "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
                         "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                       },
-                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
-                    },
-                  },
-                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                    "A String",
-                  ],
-                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
+          },
+          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+          },
+        },
+        "metricResourceName": "A String", # Optional. The resource name of the metric definition.
+        "predefinedMetricSpec": { # Specification for a pre-defined metric. # Spec for a pre-defined metric.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+            "a_key": { # The autorater config used for the evaluation run.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
                   },
-                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                   },
                 },
-                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
               },
-              "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-              "rubricContentType": "A String", # The type of rubric content to be generated.
-              "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-                "A String",
-              ],
-            },
-            "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-            "systemInstruction": "A String", # Optional. System instructions for the judge model.
-          },
-          "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
-            "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
-              "a_key": "", # Properties of the object.
-            },
-            "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
-              "description": "A String", # Optional. The description of the score explaining the directionality etc.
-              "max": 3.14, # Required. The maximum value of the score range (inclusive).
-              "min": 3.14, # Required. The minimum value of the score range (inclusive).
-              "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
-            },
-            "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
-          },
-          "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
-            "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
-            "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
-            "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
-              "returnRawOutput": True or False, # Optional. Whether to return raw output.
-            },
-            "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
-            "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
-          },
-          "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
-            "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
-              "returnRawOutput": True or False, # Optional. Whether to return raw output.
-            },
-            "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
-            "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
-          },
-          "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
-            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-              "a_key": "", # Properties of the object.
+              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
           },
-          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-          },
-        },
-        "metricResourceName": "A String", # Optional. The resource name of the metric definition.
-        "predefinedMetricSpec": { # Specification for a pre-defined metric. # Spec for a pre-defined metric.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
-          },
         },
         "rubricBasedMetricSpec": { # Specification for a metric that is based on rubrics. # Spec for rubric based metric.
           "inlineRubrics": { # Defines a list of rubrics, used when providing rubrics inline. # Use rubrics provided directly in the spec.
@@ -6191,63 +7781,267 @@ 
Method Details

                 "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
                   "modelRoutingPreference": "A String", # The model routing preference.
                 },
-                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
-                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+          "metricPromptTemplate": "A String", # Optional. Template for the prompt used by the judge model to evaluate against rubrics.
+          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics for evaluation using this specification.
+            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
+            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
                 },
-              },
-              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
-              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
-                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
-                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
-                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
-                    { # Configuration for a single speaker in a multi-speaker setup.
-                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
-                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
-                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                          "voiceName": "A String", # The name of the prebuilt voice to use.
-                        },
-                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                         },
-                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                       },
-                    },
-                  ],
-                },
-                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                    ],
                   },
-                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                   },
-                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                 },
               },
-              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                "A String",
-              ],
-              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-              },
-              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-              "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-              },
+              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
+            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+              "A String",
+            ],
           },
-          "metricPromptTemplate": "A String", # Optional. Template for the prompt used by the judge model to evaluate against rubrics.
-          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics for evaluation using this specification.
-            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
-            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input content. This refers to a key in the `rubric_groups` map of `RubricEnhancedContents`.
+        },
+      },
+    ],
+    "outputConfig": { # The output config for the evaluation run. # Optional. The output config for the evaluation run.
+      "bigqueryDestination": { # The BigQuery location for the output content. # BigQuery destination for evaluation output.
+        "outputUri": "A String", # Required. BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: * BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
+      },
+      "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud Storage destination for evaluation output.
+        "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
+      },
+    },
+    "promptTemplate": { # Prompt template used for inference. # The prompt template used for inference. The values for variables in the prompt template are defined in EvaluationItem.EvaluationPrompt.PromptTemplateData.values.
+      "gcsUri": "A String", # Prompt template stored in Cloud Storage. Format: "gs://my-bucket/file-name.txt".
+      "promptTemplate": "A String", # Inline prompt template. Template variables should be in the format "{var_name}". Example: "Translate the following from {source_lang} to {target_lang}: {text}"
+    },
+    "rubricConfigs": [ # Optional. The rubric configs for the evaluation run. They are used to generate rubrics which can be used by rubric-based metrics. Multiple rubric configs can be specified for rubric generation but only one rubric config can be used for a rubric-based metric. If more than one rubric config is provided, the evaluation metric must specify a rubric group key. Note that if a generation spec is specified on both a rubric config and an evaluation metric, the rubrics generated for the metric will be used for evaluation.
+      { # Configuration for a rubric group to be generated/saved for evaluation.
+        "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+            "a_key": { # The autorater config used for the evaluation run.
               "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
               "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
                 "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
@@ -6421,34 +8215,6 @@ 
Method Details

               },
               "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
-            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-              "A String",
-            ],
-          },
-          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input content. This refers to a key in the `rubric_groups` map of `RubricEnhancedContents`.
-        },
-      },
-    ],
-    "outputConfig": { # The output config for the evaluation run. # Optional. The output config for the evaluation run.
-      "bigqueryDestination": { # The BigQuery location for the output content. # BigQuery destination for evaluation output.
-        "outputUri": "A String", # Required. BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: * BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
-      },
-      "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud Storage destination for evaluation output.
-        "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
-      },
-    },
-    "promptTemplate": { # Prompt template used for inference. # The prompt template used for inference. The values for variables in the prompt template are defined in EvaluationItem.EvaluationPrompt.PromptTemplateData.values.
-      "gcsUri": "A String", # Prompt template stored in Cloud Storage. Format: "gs://my-bucket/file-name.txt".
-      "promptTemplate": "A String", # Inline prompt template. Template variables should be in the format "{var_name}". Example: "Translate the following from {source_lang} to {target_lang}: {text}"
-    },
-    "rubricConfigs": [ # Optional. The rubric configs for the evaluation run. They are used to generate rubrics which can be used by rubric-based metrics. Multiple rubric configs can be specified for rubric generation but only one rubric config can be used for a rubric-based metric. If more than one rubric config is provided, the evaluation metric must specify a rubric group key. Note that if a generation spec is specified on both a rubric config and an evaluation metric, the rubrics generated for the metric will be used for evaluation.
-      { # Configuration for a rubric group to be generated/saved for evaluation.
-        "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
           },
         },
         "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
@@ -6688,7 +8454,7 @@ 
Method Details

                   "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
                   "metadata": "", # Optional. Metadata about the evaluation result.
                   "metric": "A String", # Required. The metric that was evaluated.
-                  "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+                  "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
                     "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
                       { # Responses from model or agent.
                         "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -6705,13 +8471,13 @@ 
Method Details

                                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                   },
-                                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                       "A String",
                                     ],
-                                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                    "environment": "A String", # Required. The environment being operated.
-                                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                       "A String",
                                     ],
                                   },
@@ -6953,13 +8719,13 @@ 
Method Details

                                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                       },
-                                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                           "A String",
                                         ],
-                                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                        "environment": "A String", # Required. The environment being operated.
-                                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                           "A String",
                                         ],
                                       },
@@ -7422,13 +9188,13 @@ 
Method Details

                               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                 },
-                                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                     "A String",
                                   ],
-                                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                  "environment": "A String", # Required. The environment being operated.
-                                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                     "A String",
                                   ],
                                 },
@@ -7670,13 +9436,13 @@ 
Method Details

                                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                     },
-                                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                         "A String",
                                       ],
-                                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                      "environment": "A String", # Required. The environment being operated.
-                                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                         "A String",
                                       ],
                                     },
@@ -8138,13 +9904,13 @@ 
Method Details

                               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                 },
-                                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                     "A String",
                                   ],
-                                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                  "environment": "A String", # Required. The environment being operated.
-                                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                     "A String",
                                   ],
                                 },
@@ -8386,13 +10152,13 @@ 
Method Details

                                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                     },
-                                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                         "A String",
                                       ],
-                                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                      "environment": "A String", # Required. The environment being operated.
-                                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                         "A String",
                                       ],
                                     },
@@ -8987,13 +10753,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -9431,13 +11197,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -9940,6 +11706,7 @@ 
Method Details

     "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
   },
   "evaluationConfig": { # The Evalution configuration used for the evaluation run. # Optional. The configuration used for the evaluation. Optional when analysis_configs is provided.
+    "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.
     "autoraterConfig": { # The autorater config used for the evaluation run. # Optional. The autorater config for the evaluation run.
       "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
       "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -10064,277 +11831,661 @@ 
Method Details

           "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
             "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
           },
-        },
-        "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
-        "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
-          "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
-          "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
-            "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
-              { # Configuration for a single speaker in a multi-speaker setup.
-                "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
-                "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+        },
+        "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+        "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+          "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+          "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+            "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+              { # Configuration for a single speaker in a multi-speaker setup.
+                "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+            ],
+          },
+          "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+              "voiceName": "A String", # The name of the prebuilt voice to use.
+            },
+            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+            },
+            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+          },
+        },
+        "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+          "A String",
+        ],
+        "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+        "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+          "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+          "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+          "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+        },
+        "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+        "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+        "translationConfig": { # Config for translation features. # Optional. Config for translation.
+          "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+          "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+        },
+      },
+      "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+    },
+    "cloudLoggingConfig": { # Specifies configuration for exporting evaluation results to Cloud Logging. # Optional. Configuration for exporting evaluation results to Cloud Logging.
+      "project": "A String", # Optional. Google Cloud project to write logs to. Defaults to the request project.
+      "resourceLabels": { # Optional. MonitoredResource labels to associate the log with. The backend will automatically inject project and location.
+        "a_key": "A String",
+      },
+      "resourceType": "A String", # Optional. MonitoredResource type. Defaults to "global" if unspecified.
+      "tracingContext": { # Tracing context for Observability correlation. # Optional. Tracing context for the evaluation run.
+        "conversationId": "A String", # Optional. Unique identifier for a conversation (session thread), used to store and correlate messages within a conversation. The value corresponds to the `gen_ai.conversation.id` field in the the OpenTelemetry GenAI attributes.
+        "spanId": "A String", # Optional. ID of the Cloud Trace span associated with the current operation in which the log is being written. e.g., `7a2190356c3fc94b`. If a span is being evaluated, this field should be populated.
+        "traceId": "A String", # Optional. Trace ID being written to Cloud Trace in association with this log entry. e.g., `12345`, the numeric ID from the resource name. If a trace or span is being evaluated, this field should be populated.
+      },
+    },
+    "datasetCustomMetrics": [ # Optional. Specifications for custom dataset-level aggregations.
+      { # Defines a custom dataset-level aggregation.
+        "aggregationFunction": "A String", # Required. The Python code string containing the aggregation function. Expected function signature: `def aggregate(instances: list[dict[str, Any]]) -> dict[str, float]:` The `instances` argument is a list of dictionaries, where each dictionary represents a single evaluation result item. The structure of each dictionary corresponds to the fields in the `EvaluationResult` message. This includes: - `"request"`: Contains the original input data and model inputs (from `EvaluationResult.EvaluationRequest`). - `"candidate_results"`: Contains the results of any instance-level metrics (from `EvaluationResult.CandidateResults`). Example of a single item in the `instances` list: { "request": { "prompt": {"text": "What is the capital of France?"}, "golden_response": {"text": "Paris"}, "candidate_responses": [{"candidate": "model-v1", "text": "Paris"}] }, "candidate_results": [ {"metric": "exact_match", "score": 1.0}, {"metric": "bleu", "score": 0.9} ] }
+        "displayName": "A String", # Optional. A display name for this custom summary metric. Used to prefix keys in the output summaryMetrics map. If not provided, a default name like "dataset_custom_metric_1", "dataset_custom_metric_2", etc., will be generated based on the order in the repeated field.
+      },
+    ],
+    "lossAnalysisConfig": [ # Optional. Specifications for loss analysis. Each config can be specified for one metric.
+      { # Configuration for the loss analysis job.
+        "candidate": "A String", # Required. The candidate model/agent to analyze (e.g., "gemini-3.0-pro"). This targets the specific CandidateResult within the EvaluationResult.
+        "metric": "A String", # Required. The metric to analyze (e.g., "tool_use_quality"). This filters the EvaluationItems in the EvalSet to only those where EvaluationResult.metric matches this value.
+      },
+    ],
+    "metrics": [ # Optional. The metrics to be calculated in the evaluation run. Required when analysis_configs is not set.
+      { # The metric used for evaluation runs.
+        "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
+          "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
+            "a_key": "", # Properties of the object.
+          },
+          "type": "A String", # Required. The type of the computation based metric.
+        },
+        "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
+          "additionalConfig": { # Optional. Optional additional configuration for the metric.
+            "a_key": "", # Properties of the object.
+          },
+          "judgeAutoraterConfig": { # The autorater config used for the evaluation run. # Optional. Optional configuration for the judge LLM (Autorater).
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
                   "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
                     "voiceName": "A String", # The name of the prebuilt voice to use.
                   },
-                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+          "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+            "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+              "a_key": "", # Properties of the object.
+            },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+              "a_key": { # The autorater config used for the evaluation run.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
-                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                 },
+                "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
               },
-            ],
-          },
-          "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-              "voiceName": "A String", # The name of the prebuilt voice to use.
-            },
-            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
             },
-            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
-          },
-        },
-        "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-          "A String",
-        ],
-        "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-        "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-          "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-          "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-          "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-        },
-        "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-        "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-        "translationConfig": { # Config for translation features. # Optional. Config for translation.
-          "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-          "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-        },
-      },
-      "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-    },
-    "cloudLoggingConfig": { # Specifies configuration for exporting evaluation results to Cloud Logging. # Optional. Configuration for exporting evaluation results to Cloud Logging.
-      "project": "A String", # Optional. Google Cloud project to write logs to. Defaults to the request project.
-      "resourceLabels": { # Optional. MonitoredResource labels to associate the log with. The backend will automatically inject project and location.
-        "a_key": "A String",
-      },
-      "resourceType": "A String", # Optional. MonitoredResource type. Defaults to "global" if unspecified.
-      "tracingContext": { # Tracing context for Observability correlation. # Optional. Tracing context for the evaluation run.
-        "conversationId": "A String", # Optional. Unique identifier for a conversation (session thread), used to store and correlate messages within a conversation. The value corresponds to the `gen_ai.conversation.id` field in the the OpenTelemetry GenAI attributes.
-        "spanId": "A String", # Optional. ID of the Cloud Trace span associated with the current operation in which the log is being written. e.g., `7a2190356c3fc94b`. If a span is being evaluated, this field should be populated.
-        "traceId": "A String", # Optional. Trace ID being written to Cloud Trace in association with this log entry. e.g., `12345`, the numeric ID from the resource name. If a trace or span is being evaluated, this field should be populated.
-      },
-    },
-    "datasetCustomMetrics": [ # Optional. Specifications for custom dataset-level aggregations.
-      { # Defines a custom dataset-level aggregation.
-        "aggregationFunction": "A String", # Required. The Python code string containing the aggregation function. Expected function signature: `def aggregate(instances: list[dict[str, Any]]) -> dict[str, float]:` The `instances` argument is a list of dictionaries, where each dictionary represents a single evaluation result item. The structure of each dictionary corresponds to the fields in the `EvaluationResult` message. This includes: - `"request"`: Contains the original input data and model inputs (from `EvaluationResult.EvaluationRequest`). - `"candidate_results"`: Contains the results of any instance-level metrics (from `EvaluationResult.CandidateResults`). Example of a single item in the `instances` list: { "request": { "prompt": {"text": "What is the capital of France?"}, "golden_response": {"text": "Paris"}, "candidate_responses": [{"candidate": "model-v1", "text": "Paris"}] }, "candidate_results": [ {"metric": "exact_match", "score": 1.0}, {"metric": "bleu", "score": 0.9} ] }
-        "displayName": "A String", # Optional. A display name for this custom summary metric. Used to prefix keys in the output summaryMetrics map. If not provided, a default name like "dataset_custom_metric_1", "dataset_custom_metric_2", etc., will be generated based on the order in the repeated field.
-      },
-    ],
-    "lossAnalysisConfig": [ # Optional. Specifications for loss analysis. Each config can be specified for one metric.
-      { # Configuration for the loss analysis job.
-        "candidate": "A String", # Required. The candidate model/agent to analyze (e.g., "gemini-3.0-pro"). This targets the specific CandidateResult within the EvaluationResult.
-        "metric": "A String", # Required. The metric to analyze (e.g., "tool_use_quality"). This filters the EvaluationItems in the EvalSet to only those where EvaluationResult.metric matches this value.
-      },
-    ],
-    "metrics": [ # Optional. The metrics to be calculated in the evaluation run. Required when analysis_configs is not set.
-      { # The metric used for evaluation runs.
-        "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
-          "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
-            "a_key": "", # Properties of the object.
-          },
-          "type": "A String", # Required. The type of the computation based metric.
-        },
-        "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
-          "additionalConfig": { # Optional. Optional additional configuration for the metric.
-            "a_key": "", # Properties of the object.
           },
-          "judgeAutoraterConfig": { # The autorater config used for the evaluation run. # Optional. Optional configuration for the judge LLM (Autorater).
-            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-                  "A String",
-                ],
-                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-                  "A String",
-                ],
-                "diarization": True or False, # Optional. Configures speaker diarization.
-                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-                },
-                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-                  "A String",
-                ],
-                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
+            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
                     "A String",
                   ],
-                },
-                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
-                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
-              },
-              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
-              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
-              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
-              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
-                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
-                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
-                  "compressionQuality": 42, # Optional. The compression quality of the output image.
-                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
-                },
-                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
-                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
-                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
-              },
-              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
-              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
-              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
-              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
-                "featureSelectionPreference": "A String", # Required. Feature selection preference.
-              },
-              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
-              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
-                { # Configuration for the model to configure output formatting and delivery.
-                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
-                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "mimeType": "A String", # Optional. The MIME type of the audio output.
-                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
-                  },
-                  "image": { # Configuration for image-specific output formatting. # Image output format.
-                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "imageSize": "A String", # Optional. The size of the image output.
-                    "mimeType": "A String", # Optional. The MIME type of the image output.
-                  },
-                  "text": { # Configuration for text-specific output formatting. # Text output format.
-                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
-                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
                   },
-                  "video": { # Configuration for video-specific output formatting. # Video output format.
-                    "aspectRatio": "A String", # The aspect ratio for the video output.
-                    "delivery": "A String", # Optional. Delivery mode for the generated content.
-                    "duration": "A String", # Optional. The duration for the video output.
-                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
-                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
                   },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
                 },
-              ],
-              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
-              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
-              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
-              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
-                "A String",
-              ],
-              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
-                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
-                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
-                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
-                ],
-                "default": "", # Optional. Default value to use if the field is not specified.
-                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
-                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
                 },
-                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
-                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
-                  "A String",
-                ],
-                "example": "", # Optional. Example of an instance of this schema.
-                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
-                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
-                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
-                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
-                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
-                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
-                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
-                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
-                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
-                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
-                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
-                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
-                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
-                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
                 },
-                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
-                  "A String",
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
                 ],
-                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
-                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
                   "A String",
                 ],
-                "title": "A String", # Optional. Title for the schema.
-                "type": "A String", # Optional. Data type of the schema field.
-              },
-              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
-                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
-                  "modelRoutingPreference": "A String", # The model routing preference.
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
                 },
-                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
-                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
                 },
-              },
-              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
-              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
-                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
-                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
-                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
-                    { # Configuration for a single speaker in a multi-speaker setup.
-                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
-                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
-                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                          "voiceName": "A String", # The name of the prebuilt voice to use.
-                        },
-                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                         },
-                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                       },
-                    },
-                  ],
-                },
-                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                    ],
                   },
-                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                   },
-                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                 },
               },
-              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                "A String",
-              ],
-              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-              },
-              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-              "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-              },
+              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
+            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+              "A String",
+            ],
           },
-          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-          "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-            "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+          "systemInstruction": "A String", # Optional. System instructions for the judge model.
+        },
+        "metric": "A String", # Required. The name of the metric.
+        "metricConfig": { # The metric used for running evaluations. # The metric config.
+          "aggregationMetrics": [ # Optional. The aggregation metrics to use.
+            "A String",
+          ],
+          "bleuSpec": { # Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1. # Spec for bleu metric.
+            "useEffectiveOrder": True or False, # Optional. Whether to use_effective_order to compute bleu score.
+          },
+          "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
+            "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
+              "a_key": "", # Properties of the object.
+            },
+            "type": "A String", # Required. The type of the computation based metric.
+          },
+          "customCodeExecutionSpec": { # Specificies a metric that is populated by evaluating user-defined Python code. # Spec for Custom Code Execution metric.
+            "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used; requests from regions where the sandbox is unavailable will fail with UNIMPLEMENTED.
+            "evaluationFunction": "A String", # Required. Python function. Expected user to define the following function, e.g.: def evaluate(instance: dict[str, Any]) -> float: Please include this function signature in the code snippet. Instance is the evaluation instance, any fields populated in the instance are available to the function as instance[field_name]. Example: Example input: ``` instance= EvaluationInstance( response=EvaluationInstance.InstanceData(text="The answer is 4."), reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` { 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' == instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file will be converted to dict[str, Any] and passed to the evaluation function.
+          },
+          "exactMatchSpec": { # Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0. # Spec for exact match metric.
+          },
+          "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
+            "additionalConfig": { # Optional. Optional additional configuration for the metric.
               "a_key": "", # Properties of the object.
             },
-          },
-          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
-            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+            "judgeAutoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Optional configuration for the judge LLM (Autorater).
               "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
               "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
                 "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
                 "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
@@ -10505,231 +12656,418 @@ 
Method Details

                   "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                 },
               },
-              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-            },
-            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
-            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-              "A String",
-            ],
-          },
-          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-          "systemInstruction": "A String", # Optional. System instructions for the judge model.
-        },
-        "metric": "A String", # Required. The name of the metric.
-        "metricConfig": { # The metric used for running evaluations. # The metric config.
-          "aggregationMetrics": [ # Optional. The aggregation metrics to use.
-            "A String",
-          ],
-          "bleuSpec": { # Spec for bleu score metric - calculates the precision of n-grams in the prediction as compared to reference - returns a score ranging between 0 to 1. # Spec for bleu metric.
-            "useEffectiveOrder": True or False, # Optional. Whether to use_effective_order to compute bleu score.
-          },
-          "computationBasedMetricSpec": { # Specification for a computation based metric. # Spec for a computation based metric.
-            "parameters": { # Optional. A map of parameters for the metric, e.g. {"rouge_type": "rougeL"}.
-              "a_key": "", # Properties of the object.
-            },
-            "type": "A String", # Required. The type of the computation based metric.
-          },
-          "customCodeExecutionSpec": { # Specificies a metric that is populated by evaluating user-defined Python code. # Spec for Custom Code Execution metric.
-            "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used; requests from regions where the sandbox is unavailable will fail with UNIMPLEMENTED.
-            "evaluationFunction": "A String", # Required. Python function. Expected user to define the following function, e.g.: def evaluate(instance: dict[str, Any]) -> float: Please include this function signature in the code snippet. Instance is the evaluation instance, any fields populated in the instance are available to the function as instance[field_name]. Example: Example input: ``` instance= EvaluationInstance( response=EvaluationInstance.InstanceData(text="The answer is 4."), reference=EvaluationInstance.InstanceData(text="4") ) ``` Example converted input: ``` { 'response': {'text': 'The answer is 4.'}, 'reference': {'text': '4'} } ``` Example python function: ``` def evaluate(instance: dict[str, Any]) -> float: if instance'response' == instance'reference': return 1.0 return 0.0 ``` CustomCodeExecutionSpec is also supported in Batch Evaluation (EvalDataset RPC) and Tuning Evaluation. Each line in the input jsonl file will be converted to dict[str, Any] and passed to the evaluation function.
-          },
-          "exactMatchSpec": { # Spec for exact match metric - returns 1 if prediction and reference exactly matches, otherwise 0. # Spec for exact match metric.
-          },
-          "llmBasedMetricSpec": { # Specification for an LLM based metric. # Spec for an LLM based metric.
-            "additionalConfig": { # Optional. Optional additional configuration for the metric.
-              "a_key": "", # Properties of the object.
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "judgeAutoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Optional configuration for the judge LLM (Autorater).
-              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
-              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-                    "A String",
-                  ],
-                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-                    "A String",
-                  ],
-                  "diarization": True or False, # Optional. Configures speaker diarization.
-                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-                  },
-                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-                    "A String",
-                  ],
-                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+            "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+            "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+              "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+              "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                "a_key": "", # Properties of the object.
+              },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
                       "A String",
                     ],
-                  },
-                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
-                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
-                },
-                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
-                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
-                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
-                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
-                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
-                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
-                    "compressionQuality": 42, # Optional. The compression quality of the output image.
-                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
-                  },
-                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
-                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
-                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
-                },
-                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
-                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
-                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
-                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
-                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
-                },
-                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
-                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
-                  { # Configuration for the model to configure output formatting and delivery.
-                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
-                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
-                      "delivery": "A String", # Optional. Delivery mode for the generated content.
-                      "mimeType": "A String", # Optional. The MIME type of the audio output.
-                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
                     },
-                    "image": { # Configuration for image-specific output formatting. # Image output format.
-                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
-                      "delivery": "A String", # Optional. Delivery mode for the generated content.
-                      "imageSize": "A String", # Optional. The size of the image output.
-                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                     },
-                    "text": { # Configuration for text-specific output formatting. # Text output format.
-                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
-                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+              },
+            },
+            "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+              "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+                "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+                "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+              },
+            },
+            "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+              "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
                     },
-                    "video": { # Configuration for video-specific output formatting. # Video output format.
-                      "aspectRatio": "A String", # The aspect ratio for the video output.
-                      "delivery": "A String", # Optional. Delivery mode for the generated content.
-                      "duration": "A String", # Optional. The duration for the video output.
-                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
-                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
                     },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
                   },
-                ],
-                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
-                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
-                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
-                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
-                  "A String",
-                ],
-                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
-                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
-                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
-                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
-                  ],
-                  "default": "", # Optional. Default value to use if the field is not specified.
-                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
-                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
                   },
-                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
-                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
-                    "A String",
-                  ],
-                  "example": "", # Optional. Example of an instance of this schema.
-                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
-                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
-                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
-                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
-                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
-                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
-                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
-                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
-                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
-                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
-                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
-                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
-                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
-                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
                   },
-                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
-                    "A String",
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
                   ],
-                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
-                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
                     "A String",
                   ],
-                  "title": "A String", # Optional. Title for the schema.
-                  "type": "A String", # Optional. Data type of the schema field.
-                },
-                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
-                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
-                    "modelRoutingPreference": "A String", # The model routing preference.
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
                   },
-                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
-                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
                   },
-                },
-                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
-                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
-                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
-                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
-                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
-                      { # Configuration for a single speaker in a multi-speaker setup.
-                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
-                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
-                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                            "voiceName": "A String", # The name of the prebuilt voice to use.
-                          },
-                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                           },
-                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                         },
-                      },
-                    ],
-                  },
-                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                      ],
                     },
-                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                     },
-                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
                 },
-                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                  "A String",
-                ],
-                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-                },
-                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-                "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
               },
-              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+              "rubricContentType": "A String", # The type of rubric content to be generated.
+              "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+                "A String",
+              ],
             },
-            "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-            "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-              "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-              "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                "a_key": "", # Properties of the object.
-              },
+            "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+            "systemInstruction": "A String", # Optional. System instructions for the judge model.
+          },
+          "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
+            "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
+              "a_key": "", # Properties of the object.
             },
-            "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-              "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-                "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-                "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-              },
+            "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
+              "description": "A String", # Optional. The description of the score explaining the directionality etc.
+              "max": 3.14, # Required. The maximum value of the score range (inclusive).
+              "min": 3.14, # Required. The minimum value of the score range (inclusive).
+              "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
             },
-            "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-              "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+            "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
+          },
+          "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
+            "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
+            "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
+            "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
+              "returnRawOutput": True or False, # Optional. Whether to return raw output.
+            },
+            "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
+            "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
+          },
+          "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
+            "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
+              "returnRawOutput": True or False, # Optional. Whether to return raw output.
+            },
+            "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
+            "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
+          },
+          "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
+            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+              "a_key": "", # Properties of the object.
+            },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
                 "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
                 "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
                 "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -10902,63 +13240,198 @@ 
Method Details

                     "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
                 },
-                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
+          },
+          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+          },
+        },
+        "metricResourceName": "A String", # Optional. The resource name of the metric definition.
+        "predefinedMetricSpec": { # Specification for a pre-defined metric. # Spec for a pre-defined metric.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+            "a_key": { # The autorater config used for the evaluation run.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
               },
-              "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-              "rubricContentType": "A String", # The type of rubric content to be generated.
-              "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-                "A String",
-              ],
-            },
-            "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-            "systemInstruction": "A String", # Optional. System instructions for the judge model.
-          },
-          "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
-            "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
-              "a_key": "", # Properties of the object.
-            },
-            "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
-              "description": "A String", # Optional. The description of the score explaining the directionality etc.
-              "max": 3.14, # Required. The maximum value of the score range (inclusive).
-              "min": 3.14, # Required. The minimum value of the score range (inclusive).
-              "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
-            },
-            "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
-          },
-          "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
-            "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
-            "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
-            "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
-              "returnRawOutput": True or False, # Optional. Whether to return raw output.
-            },
-            "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
-            "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
-          },
-          "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
-            "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
-              "returnRawOutput": True or False, # Optional. Whether to return raw output.
-            },
-            "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
-            "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
-          },
-          "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
-            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-              "a_key": "", # Properties of the object.
+              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
           },
-          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-          },
-        },
-        "metricResourceName": "A String", # Optional. The resource name of the metric definition.
-        "predefinedMetricSpec": { # Specification for a pre-defined metric. # Spec for a pre-defined metric.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
-          },
         },
         "rubricBasedMetricSpec": { # Specification for a metric that is based on rubrics. # Spec for rubric based metric.
           "inlineRubrics": { # Defines a list of rubrics, used when providing rubrics inline. # Use rubrics provided directly in the spec.
@@ -11131,28 +13604,232 @@ 
Method Details

                   "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                 },
               },
-              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                "A String",
-              ],
-              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-              },
-              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-              "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+          "metricPromptTemplate": "A String", # Optional. Template for the prompt used by the judge model to evaluate against rubrics.
+          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics for evaluation using this specification.
+            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
+            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
+            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+              "A String",
+            ],
           },
-          "metricPromptTemplate": "A String", # Optional. Template for the prompt used by the judge model to evaluate against rubrics.
-          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics for evaluation using this specification.
-            "metricResourceName": "A String", # Optional. Resource name of the metric definition.
-            "modelConfig": { # The autorater config used for the evaluation run. # Optional. Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input content. This refers to a key in the `rubric_groups` map of `RubricEnhancedContents`.
+        },
+      },
+    ],
+    "outputConfig": { # The output config for the evaluation run. # Optional. The output config for the evaluation run.
+      "bigqueryDestination": { # The BigQuery location for the output content. # BigQuery destination for evaluation output.
+        "outputUri": "A String", # Required. BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: * BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
+      },
+      "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud Storage destination for evaluation output.
+        "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
+      },
+    },
+    "promptTemplate": { # Prompt template used for inference. # The prompt template used for inference. The values for variables in the prompt template are defined in EvaluationItem.EvaluationPrompt.PromptTemplateData.values.
+      "gcsUri": "A String", # Prompt template stored in Cloud Storage. Format: "gs://my-bucket/file-name.txt".
+      "promptTemplate": "A String", # Inline prompt template. Template variables should be in the format "{var_name}". Example: "Translate the following from {source_lang} to {target_lang}: {text}"
+    },
+    "rubricConfigs": [ # Optional. The rubric configs for the evaluation run. They are used to generate rubrics which can be used by rubric-based metrics. Multiple rubric configs can be specified for rubric generation but only one rubric config can be used for a rubric-based metric. If more than one rubric config is provided, the evaluation metric must specify a rubric group key. Note that if a generation spec is specified on both a rubric config and an evaluation metric, the rubrics generated for the metric will be used for evaluation.
+      { # Configuration for a rubric group to be generated/saved for evaluation.
+        "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+            "a_key": { # The autorater config used for the evaluation run.
               "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
               "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
                 "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
@@ -11326,34 +14003,6 @@ 
Method Details

               },
               "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "promptTemplate": "A String", # Optional. Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-            "rubricContentType": "A String", # Optional. The type of rubric content to be generated.
-            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-              "A String",
-            ],
-          },
-          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input content. This refers to a key in the `rubric_groups` map of `RubricEnhancedContents`.
-        },
-      },
-    ],
-    "outputConfig": { # The output config for the evaluation run. # Optional. The output config for the evaluation run.
-      "bigqueryDestination": { # The BigQuery location for the output content. # BigQuery destination for evaluation output.
-        "outputUri": "A String", # Required. BigQuery URI to a project or table, up to 2000 characters long. When only the project is specified, the Dataset and Table is created. When the full table reference is specified, the Dataset must exist and table must not exist. Accepted forms: * BigQuery path. For example: `bq://projectId` or `bq://projectId.bqDatasetId` or `bq://projectId.bqDatasetId.bqTableId`.
-      },
-      "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud Storage destination for evaluation output.
-        "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
-      },
-    },
-    "promptTemplate": { # Prompt template used for inference. # The prompt template used for inference. The values for variables in the prompt template are defined in EvaluationItem.EvaluationPrompt.PromptTemplateData.values.
-      "gcsUri": "A String", # Prompt template stored in Cloud Storage. Format: "gs://my-bucket/file-name.txt".
-      "promptTemplate": "A String", # Inline prompt template. Template variables should be in the format "{var_name}". Example: "Translate the following from {source_lang} to {target_lang}: {text}"
-    },
-    "rubricConfigs": [ # Optional. The rubric configs for the evaluation run. They are used to generate rubrics which can be used by rubric-based metrics. Multiple rubric configs can be specified for rubric generation but only one rubric config can be used for a rubric-based metric. If more than one rubric config is provided, the evaluation metric must specify a rubric group key. Note that if a generation spec is specified on both a rubric config and an evaluation metric, the rubrics generated for the metric will be used for evaluation.
-      { # Configuration for a rubric group to be generated/saved for evaluation.
-        "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "parameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
           },
         },
         "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
@@ -11593,7 +14242,7 @@ 
Method Details

                   "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
                   "metadata": "", # Optional. Metadata about the evaluation result.
                   "metric": "A String", # Required. The metric that was evaluated.
-                  "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+                  "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
                     "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
                       { # Responses from model or agent.
                         "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -11610,13 +14259,13 @@ 
Method Details

                                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                   },
-                                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                       "A String",
                                     ],
-                                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                    "environment": "A String", # Required. The environment being operated.
-                                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                       "A String",
                                     ],
                                   },
@@ -11858,13 +14507,13 @@ 
Method Details

                                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                       },
-                                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                           "A String",
                                         ],
-                                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                        "environment": "A String", # Required. The environment being operated.
-                                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                           "A String",
                                         ],
                                       },
@@ -12327,13 +14976,13 @@ 
Method Details

                               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                 },
-                                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                     "A String",
                                   ],
-                                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                  "environment": "A String", # Required. The environment being operated.
-                                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                     "A String",
                                   ],
                                 },
@@ -12575,13 +15224,13 @@ 
Method Details

                                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                     },
-                                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                         "A String",
                                       ],
-                                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                      "environment": "A String", # Required. The environment being operated.
-                                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                         "A String",
                                       ],
                                     },
@@ -13043,13 +15692,13 @@ 
Method Details

                               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                 },
-                                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                     "A String",
                                   ],
-                                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                  "environment": "A String", # Required. The environment being operated.
-                                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                     "A String",
                                   ],
                                 },
@@ -13291,13 +15940,13 @@ 
Method Details

                                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                     },
-                                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                         "A String",
                                       ],
-                                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                      "environment": "A String", # Required. The environment being operated.
-                                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                         "A String",
                                       ],
                                     },
@@ -13892,13 +16541,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -14336,13 +16985,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -14816,6 +17465,7 @@ 
Method Details

         "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
       },
       "evaluationConfig": { # The Evalution configuration used for the evaluation run. # Optional. The configuration used for the evaluation. Optional when analysis_configs is provided.
+        "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.
         "autoraterConfig": { # The autorater config used for the evaluation run. # Optional. The autorater config for the evaluation run.
           "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
           "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -15198,14 +17848,190 @@ 
Method Details

                     "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
                 },
-                "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-              },
-              "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-              "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-                "parameters": { # Optional. The parameters needed to run the pre-defined metric.
-                  "a_key": "", # Properties of the object.
-                },
+                "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+              "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+              "predefinedRubricGenerationSpec": { # Specification for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+                "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+                  "a_key": "", # Properties of the object.
+                },
+                "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+                  "a_key": { # The autorater config used for the evaluation run.
+                    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                          "A String",
+                        ],
+                        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                          "A String",
+                        ],
+                        "diarization": True or False, # Optional. Configures speaker diarization.
+                        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                        },
+                        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                          "A String",
+                        ],
+                        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                            "A String",
+                          ],
+                        },
+                        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                      },
+                      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                      "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                      "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                      "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                        "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                        "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                          "compressionQuality": 42, # Optional. The compression quality of the output image.
+                          "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                        },
+                        "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                        "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                        "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                      },
+                      "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                      "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                      "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                      "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                        "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                      },
+                      "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                      "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                        { # Configuration for the model to configure output formatting and delivery.
+                          "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                            "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "mimeType": "A String", # Optional. The MIME type of the audio output.
+                            "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                          },
+                          "image": { # Configuration for image-specific output formatting. # Image output format.
+                            "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "imageSize": "A String", # Optional. The size of the image output.
+                            "mimeType": "A String", # Optional. The MIME type of the image output.
+                          },
+                          "text": { # Configuration for text-specific output formatting. # Text output format.
+                            "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                            "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                          },
+                          "video": { # Configuration for video-specific output formatting. # Video output format.
+                            "aspectRatio": "A String", # The aspect ratio for the video output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "duration": "A String", # Optional. The duration for the video output.
+                            "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                            "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                          },
+                        },
+                      ],
+                      "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                      "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                      "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                      "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                        "A String",
+                      ],
+                      "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                        "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                        "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                          # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        ],
+                        "default": "", # Optional. Default value to use if the field is not specified.
+                        "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                        "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                          "A String",
+                        ],
+                        "example": "", # Optional. Example of an instance of this schema.
+                        "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                        "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                        "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                        "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                        "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                        "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                        "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                        "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                        "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                        "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                        "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                        "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                        "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                          "A String",
+                        ],
+                        "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                        "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                          "A String",
+                        ],
+                        "title": "A String", # Optional. Title for the schema.
+                        "type": "A String", # Optional. Data type of the schema field.
+                      },
+                      "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                        "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                          "modelRoutingPreference": "A String", # The model routing preference.
+                        },
+                        "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                          "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                        },
+                      },
+                      "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                      "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                        "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                        "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                          "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                            { # Configuration for a single speaker in a multi-speaker setup.
+                              "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                              "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                                "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                  "voiceName": "A String", # The name of the prebuilt voice to use.
+                                },
+                                "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                  "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                  "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                                },
+                                "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                              },
+                            },
+                          ],
+                        },
+                        "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                      "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                        "A String",
+                      ],
+                      "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                      "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                        "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                        "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                        "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                      },
+                      "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                      "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                      "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                        "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                        "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                      },
+                    },
+                    "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                  },
+                },
               },
               "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
                 "metricResourceName": "A String", # Optional. Resource name of the metric definition.
@@ -15566,46 +18392,441 @@ 
Method Details

                         "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
                           "voiceName": "A String", # The name of the prebuilt voice to use.
                         },
-                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+                "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+                "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+                  "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+                  "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                    "a_key": "", # Properties of the object.
+                  },
+                  "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                    "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                      "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                      "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                      "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                        "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                        "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                          "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                            "A String",
+                          ],
+                          "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                            "A String",
+                          ],
+                          "diarization": True or False, # Optional. Configures speaker diarization.
+                          "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                          },
+                          "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                            "A String",
+                          ],
+                          "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                            "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                              "A String",
+                            ],
+                          },
+                          "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                          "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                        },
+                        "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                        "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                        "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                        "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                          "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                          "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                            "compressionQuality": 42, # Optional. The compression quality of the output image.
+                            "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                          },
+                          "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                          "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                          "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                        },
+                        "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                        "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                        "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                        "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                          "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                        },
+                        "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                        "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                          { # Configuration for the model to configure output formatting and delivery.
+                            "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                              "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                              "delivery": "A String", # Optional. Delivery mode for the generated content.
+                              "mimeType": "A String", # Optional. The MIME type of the audio output.
+                              "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                            },
+                            "image": { # Configuration for image-specific output formatting. # Image output format.
+                              "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                              "delivery": "A String", # Optional. Delivery mode for the generated content.
+                              "imageSize": "A String", # Optional. The size of the image output.
+                              "mimeType": "A String", # Optional. The MIME type of the image output.
+                            },
+                            "text": { # Configuration for text-specific output formatting. # Text output format.
+                              "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                              "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                            },
+                            "video": { # Configuration for video-specific output formatting. # Video output format.
+                              "aspectRatio": "A String", # The aspect ratio for the video output.
+                              "delivery": "A String", # Optional. Delivery mode for the generated content.
+                              "duration": "A String", # Optional. The duration for the video output.
+                              "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                              "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                            },
+                          },
+                        ],
+                        "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                        "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                        "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                        "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                          "A String",
+                        ],
+                        "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                          "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                          "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                            # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                          ],
+                          "default": "", # Optional. Default value to use if the field is not specified.
+                          "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                            "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                          },
+                          "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                          "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                            "A String",
+                          ],
+                          "example": "", # Optional. Example of an instance of this schema.
+                          "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                          "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                          "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                          "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                          "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                          "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                          "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                          "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                          "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                          "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                          "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                          "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                          "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                            "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                          },
+                          "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                            "A String",
+                          ],
+                          "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                          "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                            "A String",
+                          ],
+                          "title": "A String", # Optional. Title for the schema.
+                          "type": "A String", # Optional. Data type of the schema field.
+                        },
+                        "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                          "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                            "modelRoutingPreference": "A String", # The model routing preference.
+                          },
+                          "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                            "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                          },
+                        },
+                        "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                        "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                          "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                          "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                            "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                              { # Configuration for a single speaker in a multi-speaker setup.
+                                "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                                "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                                  },
+                                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                                  },
+                                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                                },
+                              },
+                            ],
+                          },
+                          "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                        "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                          "A String",
+                        ],
+                        "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                        "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                          "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                          "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                          "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                        },
+                        "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                        "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                        "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                          "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                          "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                        },
+                      },
+                      "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                    },
+                  },
+                },
+                "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+                  "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+                    "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+                    "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+                  },
+                },
+                "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+                  "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+                    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                    "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                          "A String",
+                        ],
+                        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                          "A String",
+                        ],
+                        "diarization": True or False, # Optional. Configures speaker diarization.
+                        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                        },
+                        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                          "A String",
+                        ],
+                        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                            "A String",
+                          ],
+                        },
+                        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                      },
+                      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                      "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                      "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                      "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                        "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                        "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                          "compressionQuality": 42, # Optional. The compression quality of the output image.
+                          "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                        },
+                        "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                        "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                        "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                      },
+                      "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                      "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                      "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                      "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                        "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                      },
+                      "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                      "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                        { # Configuration for the model to configure output formatting and delivery.
+                          "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                            "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "mimeType": "A String", # Optional. The MIME type of the audio output.
+                            "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                          },
+                          "image": { # Configuration for image-specific output formatting. # Image output format.
+                            "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "imageSize": "A String", # Optional. The size of the image output.
+                            "mimeType": "A String", # Optional. The MIME type of the image output.
+                          },
+                          "text": { # Configuration for text-specific output formatting. # Text output format.
+                            "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                            "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                          },
+                          "video": { # Configuration for video-specific output formatting. # Video output format.
+                            "aspectRatio": "A String", # The aspect ratio for the video output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "duration": "A String", # Optional. The duration for the video output.
+                            "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                            "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                          },
+                        },
+                      ],
+                      "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                      "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                      "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                      "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                        "A String",
+                      ],
+                      "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                        "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                        "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                          # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        ],
+                        "default": "", # Optional. Default value to use if the field is not specified.
+                        "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                        "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                          "A String",
+                        ],
+                        "example": "", # Optional. Example of an instance of this schema.
+                        "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                        "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                        "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                        "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                        "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                        "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                        "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                        "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                        "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                        "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                        "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                        "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                        "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                          "A String",
+                        ],
+                        "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                        "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                          "A String",
+                        ],
+                        "title": "A String", # Optional. Title for the schema.
+                        "type": "A String", # Optional. Data type of the schema field.
+                      },
+                      "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                        "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                          "modelRoutingPreference": "A String", # The model routing preference.
+                        },
+                        "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                          "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                        },
+                      },
+                      "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                      "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                        "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                        "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                          "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                            { # Configuration for a single speaker in a multi-speaker setup.
+                              "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                              "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                                "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                  "voiceName": "A String", # The name of the prebuilt voice to use.
+                                },
+                                "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                  "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                  "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                                },
+                                "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                              },
+                            },
+                          ],
+                        },
+                        "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                         },
-                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                      "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                        "A String",
+                      ],
+                      "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                      "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                        "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                        "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                        "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                      },
+                      "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                      "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                      "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                        "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                        "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                       },
                     },
-                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                      "A String",
-                    ],
-                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-                    },
-                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-                    },
+                    "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
                   },
-                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                  "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+                  "rubricContentType": "A String", # The type of rubric content to be generated.
+                  "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+                    "A String",
+                  ],
                 },
-                "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-                "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-                  "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-                  "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                    "a_key": "", # Properties of the object.
-                  },
+                "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+                "systemInstruction": "A String", # Optional. System instructions for the judge model.
+              },
+              "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
+                "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
+                  "a_key": "", # Properties of the object.
                 },
-                "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-                  "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-                    "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-                    "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-                  },
+                "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
+                  "description": "A String", # Optional. The description of the score explaining the directionality etc.
+                  "max": 3.14, # Required. The maximum value of the score range (inclusive).
+                  "min": 3.14, # Required. The minimum value of the score range (inclusive).
+                  "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
                 },
-                "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-                  "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+                "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
+              },
+              "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
+                "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
+                "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
+                "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
+                  "returnRawOutput": True or False, # Optional. Whether to return raw output.
+                },
+                "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
+                "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
+              },
+              "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
+                "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
+                  "returnRawOutput": True or False, # Optional. Whether to return raw output.
+                },
+                "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
+                "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
+              },
+              "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
+                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+                "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                  "a_key": "", # Properties of the object.
+                },
+                "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                  "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
                     "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
                     "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
                     "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -15778,63 +18999,198 @@ 
Method Details

                         "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                       },
                     },
-                    "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                    "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                  },
+                },
+              },
+              "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+                "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+                "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+                "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+              },
+            },
+            "metricResourceName": "A String", # Optional. The resource name of the metric definition.
+            "predefinedMetricSpec": { # Specification for a pre-defined metric. # Spec for a pre-defined metric.
+              "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+              "parameters": { # Optional. The parameters needed to run the pre-defined metric.
+                "a_key": "", # Properties of the object.
+              },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+                "a_key": { # The autorater config used for the evaluation run.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                      "A String",
+                    ],
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
                   },
-                  "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-                  "rubricContentType": "A String", # The type of rubric content to be generated.
-                  "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-                    "A String",
-                  ],
-                },
-                "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-                "systemInstruction": "A String", # Optional. System instructions for the judge model.
-              },
-              "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
-                "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
-                  "a_key": "", # Properties of the object.
-                },
-                "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
-                  "description": "A String", # Optional. The description of the score explaining the directionality etc.
-                  "max": 3.14, # Required. The maximum value of the score range (inclusive).
-                  "min": 3.14, # Required. The minimum value of the score range (inclusive).
-                  "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
-                },
-                "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
-              },
-              "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
-                "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
-                "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
-                "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
-                  "returnRawOutput": True or False, # Optional. Whether to return raw output.
-                },
-                "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
-                "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
-              },
-              "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
-                "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
-                  "returnRawOutput": True or False, # Optional. Whether to return raw output.
-                },
-                "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
-                "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
-              },
-              "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
-                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-                "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                  "a_key": "", # Properties of the object.
+                  "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
                 },
               },
-              "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-                "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-                "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-                "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-              },
-            },
-            "metricResourceName": "A String", # Optional. The resource name of the metric definition.
-            "predefinedMetricSpec": { # Specification for a pre-defined metric. # Spec for a pre-defined metric.
-              "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-              "parameters": { # Optional. The parameters needed to run the pre-defined metric.
-                "a_key": "", # Properties of the object.
-              },
             },
             "rubricBasedMetricSpec": { # Specification for a metric that is based on rubrics. # Spec for rubric based metric.
               "inlineRubrics": { # Defines a list of rubrics, used when providing rubrics inline. # Use rubrics provided directly in the spec.
@@ -16231,6 +19587,182 @@ 
Method Details

               "parameters": { # Optional. The parameters needed to run the pre-defined metric.
                 "a_key": "", # Properties of the object.
               },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: "intent_extraction", "rubric_generation", "rubric_validation".
+                "a_key": { # The autorater config used for the evaluation run.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                      "A String",
+                    ],
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
+                  },
+                  "sampleCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+              },
             },
             "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
               "metricResourceName": "A String", # Optional. Resource name of the metric definition.
@@ -16469,7 +20001,7 @@ 
Method Details

                       "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
                       "metadata": "", # Optional. Metadata about the evaluation result.
                       "metric": "A String", # Required. The metric that was evaluated.
-                      "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+                      "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
                         "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
                           { # Responses from model or agent.
                             "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -16486,13 +20018,13 @@ 
Method Details

                                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                       },
-                                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                           "A String",
                                         ],
-                                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                        "environment": "A String", # Required. The environment being operated.
-                                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                           "A String",
                                         ],
                                       },
@@ -16734,13 +20266,13 @@ 
Method Details

                                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                           },
-                                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                               "A String",
                                             ],
-                                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                            "environment": "A String", # Required. The environment being operated.
-                                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                               "A String",
                                             ],
                                           },
@@ -17203,13 +20735,13 @@ 
Method Details

                                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                     },
-                                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                         "A String",
                                       ],
-                                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                      "environment": "A String", # Required. The environment being operated.
-                                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                         "A String",
                                       ],
                                     },
@@ -17451,13 +20983,13 @@ 
Method Details

                                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                         },
-                                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                             "A String",
                                           ],
-                                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                          "environment": "A String", # Required. The environment being operated.
-                                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                             "A String",
                                           ],
                                         },
@@ -17919,13 +21451,13 @@ 
Method Details

                                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                     },
-                                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                         "A String",
                                       ],
-                                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                      "environment": "A String", # Required. The environment being operated.
-                                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                         "A String",
                                       ],
                                     },
@@ -18167,13 +21699,13 @@ 
Method Details

                                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                                         },
-                                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                             "A String",
                                           ],
-                                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                                          "environment": "A String", # Required. The environment being operated.
-                                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                             "A String",
                                           ],
                                         },
@@ -18768,13 +22300,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -19212,13 +22744,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationSets.html b/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationSets.html
index a7f74c1981..c186cef830 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationSets.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.evaluationSets.html
@@ -132,13 +132,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -407,13 +407,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -724,13 +724,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -1033,13 +1033,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -1375,13 +1375,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -1669,13 +1669,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -1945,13 +1945,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.html b/docs/dyn/aiplatform_v1beta1.projects.locations.html
index 188703cdea..d89ddb43b4 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.html
@@ -481,13 +481,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -795,13 +795,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2232,6 +2232,183 @@ 
Method Details

           "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
             "a_key": "", # Properties of the object.
           },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
         },
         "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
           "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -2457,87 +2634,265 @@ 
Method Details

         "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
           "a_key": "", # Properties of the object.
         },
-      },
-      "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-        "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-        "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-        "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-      },
-    },
-  ],
-  "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
-    "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
-      "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
-    },
-  },
-}
-
-  x__xgafv: string, V1 error format.
-    Allowed values
-      1 - v1 error format
-      2 - v2 error format
-
-Returns:
-  An object of the form:
-
-    { # This resource represents a long-running operation that is the result of a network API call.
-  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
-  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
-    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
-    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
-      {
-        "a_key": "", # Properties of the object. Contains field @type with type URL.
-      },
-    ],
-    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
-  },
-  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
-    "a_key": "", # Properties of the object. Contains field @type with type URL.
-  },
-  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
-  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
-    "a_key": "", # Properties of the object. Contains field @type with type URL.
-  },
-}
-
- -
- evaluateInstances(location, body=None, x__xgafv=None) - 
Evaluates instances based on a given metric.
-
-Args:
-  location: string, Required. The resource name of the Location to evaluate the instances. Format: `projects/{project}/locations/{location}` (required)
-  body: object, The request body.
-    The object takes the form of:
-
-{ # Request message for EvaluationService.EvaluateInstances.
-  "autoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Autorater config used for evaluation. Not applicable for predefined metrics (PredefinedMetricSpec); the server uses its own model configuration for predefined metrics and this field is ignored.
-    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-    "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
-    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-          "A String",
-        ],
-        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-          "A String",
-        ],
-        "diarization": True or False, # Optional. Configures speaker diarization.
-        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-        },
-        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-          "A String",
-        ],
-        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
-            "A String",
-          ],
-        },
-        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
-        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
-      },
-      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+        "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+          "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+        },
+      },
+      "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+        "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+        "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+        "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+      },
+    },
+  ],
+  "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
+    "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
+      "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
+    },
+  },
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ +
+ evaluateInstances(location, body=None, x__xgafv=None) + 
Evaluates instances based on a given metric.
+
+Args:
+  location: string, Required. The resource name of the Location to evaluate the instances. Format: `projects/{project}/locations/{location}` (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for EvaluationService.EvaluateInstances.
+  "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the request location is provided elsewhere in the request, this flag must be set to true or the request will fail.
+  "autoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Autorater config used for evaluation. Not applicable for predefined metrics (PredefinedMetricSpec); the server uses its own model configuration for predefined metrics and this field is ignored.
+    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+    "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+          "A String",
+        ],
+        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+          "A String",
+        ],
+        "diarization": True or False, # Optional. Configures speaker diarization.
+        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+        },
+        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+          "A String",
+        ],
+        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+            "A String",
+          ],
+        },
+        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+      },
+      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
       "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
       "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
       "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
@@ -2868,13 +3223,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -3223,13 +3578,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -3669,13 +4024,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -3917,13 +4272,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -4275,13 +4630,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -4523,13 +4878,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -5501,21 +5856,416 @@ 
Method Details

             },
             "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
           },
-          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-          "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-              "a_key": "", # Properties of the object.
-            },
+          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+          "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+              "a_key": "", # Properties of the object.
+            },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
+          },
+          "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+            "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+              "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+              "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+            },
+          },
+          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+            "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+            "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+            "rubricContentType": "A String", # The type of rubric content to be generated.
+            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+              "A String",
+            ],
+          },
+          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+          "systemInstruction": "A String", # Optional. System instructions for the judge model.
+        },
+        "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
+          "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
+            "a_key": "", # Properties of the object.
+          },
+          "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
+            "description": "A String", # Optional. The description of the score explaining the directionality etc.
+            "max": 3.14, # Required. The maximum value of the score range (inclusive).
+            "min": 3.14, # Required. The minimum value of the score range (inclusive).
+            "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
           },
-          "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-            "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-              "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-              "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-            },
+          "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
+        },
+        "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
+          "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
+          "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
+          "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
+            "returnRawOutput": True or False, # Optional. Whether to return raw output.
           },
-          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-            "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+          "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
+          "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
+        },
+        "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
+          "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
+            "returnRawOutput": True or False, # Optional. Whether to return raw output.
+          },
+          "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
+          "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
+        },
+        "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
               "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
               "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
               "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -5690,47 +6440,6 @@ 
Method Details

               },
               "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-            "rubricContentType": "A String", # The type of rubric content to be generated.
-            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-              "A String",
-            ],
-          },
-          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-          "systemInstruction": "A String", # Optional. System instructions for the judge model.
-        },
-        "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
-          "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
-            "a_key": "", # Properties of the object.
-          },
-          "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
-            "description": "A String", # Optional. The description of the score explaining the directionality etc.
-            "max": 3.14, # Required. The maximum value of the score range (inclusive).
-            "min": 3.14, # Required. The minimum value of the score range (inclusive).
-            "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
-          },
-          "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
-        },
-        "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
-          "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
-          "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
-          "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
-            "returnRawOutput": True or False, # Optional. Whether to return raw output.
-          },
-          "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
-          "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
-        },
-        "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
-          "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
-            "returnRawOutput": True or False, # Optional. Whether to return raw output.
-          },
-          "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
-          "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
-        },
-        "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
           },
         },
         "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
@@ -5947,6 +6656,183 @@ 
Method Details

           "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
             "a_key": "", # Properties of the object.
           },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
         },
         "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
           "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -6172,6 +7058,183 @@ 
Method Details

         "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
           "a_key": "", # Properties of the object.
         },
+        "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+          "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+        },
       },
       "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
         "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
@@ -7104,13 +8167,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -7448,6 +8511,183 @@ 
Method Details

     "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
       "a_key": "", # Properties of the object.
     },
+    "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+      "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+        "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+        "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+        "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+          "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+          "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+            "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+              "A String",
+            ],
+            "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+              "A String",
+            ],
+            "diarization": True or False, # Optional. Configures speaker diarization.
+            "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+            },
+            "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+              "A String",
+            ],
+            "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+              "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                "A String",
+              ],
+            },
+            "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+            "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+          },
+          "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+          "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+          "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+          "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+            "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+            "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+              "compressionQuality": 42, # Optional. The compression quality of the output image.
+              "mimeType": "A String", # Optional. The image format that the output should be saved as.
+            },
+            "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+            "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+            "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+          },
+          "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+          "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+          "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+          "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+            "featureSelectionPreference": "A String", # Required. Feature selection preference.
+          },
+          "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+          "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+            { # Configuration for the model to configure output formatting and delivery.
+              "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                "delivery": "A String", # Optional. Delivery mode for the generated content.
+                "mimeType": "A String", # Optional. The MIME type of the audio output.
+                "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+              },
+              "image": { # Configuration for image-specific output formatting. # Image output format.
+                "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                "delivery": "A String", # Optional. Delivery mode for the generated content.
+                "imageSize": "A String", # Optional. The size of the image output.
+                "mimeType": "A String", # Optional. The MIME type of the image output.
+              },
+              "text": { # Configuration for text-specific output formatting. # Text output format.
+                "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+              },
+              "video": { # Configuration for video-specific output formatting. # Video output format.
+                "aspectRatio": "A String", # The aspect ratio for the video output.
+                "delivery": "A String", # Optional. Delivery mode for the generated content.
+                "duration": "A String", # Optional. The duration for the video output.
+                "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+              },
+            },
+          ],
+          "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+          "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+          "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+          "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+            "A String",
+          ],
+          "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+            "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+            "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+              # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+            ],
+            "default": "", # Optional. Default value to use if the field is not specified.
+            "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+              "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+            },
+            "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+            "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+              "A String",
+            ],
+            "example": "", # Optional. Example of an instance of this schema.
+            "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+            "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+            "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+            "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+            "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+            "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+            "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+            "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+            "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+            "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+            "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+            "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+            "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+              "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+            },
+            "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+              "A String",
+            ],
+            "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+            "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+              "A String",
+            ],
+            "title": "A String", # Optional. Title for the schema.
+            "type": "A String", # Optional. Data type of the schema field.
+          },
+          "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+            "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+              "modelRoutingPreference": "A String", # The model routing preference.
+            },
+            "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+              "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+            },
+          },
+          "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+          "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+            "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+            "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+              "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                { # Configuration for a single speaker in a multi-speaker setup.
+                  "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                  "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+              ],
+            },
+            "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                "voiceName": "A String", # The name of the prebuilt voice to use.
+              },
+              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+              },
+              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+            },
+          },
+          "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+            "A String",
+          ],
+          "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+          "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+            "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+            "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+            "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+          },
+          "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+          "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+          "translationConfig": { # Config for translation features. # Optional. Config for translation.
+            "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+            "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+          },
+        },
+        "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+      },
+    },
   },
   "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Optional. Specification for how the rubrics should be generated.
     "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
@@ -7715,7 +8955,7 @@ 
Method Details

         "evaluationRun": "A String", # Required. The evaluation run that was used to generate the result. Format: projects/{project}/locations/{location}/evaluationRuns/{evaluation_run}
         "metadata": "", # Optional. Metadata about the evaluation result.
         "metric": "A String", # Required. The metric that was evaluated.
-        "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. # Required. The request that was evaluated.
+        "request": { # A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`. # Required. The request that was evaluated.
           "candidateResponses": [ # Optional. Responses from model under test and other baseline models for comparison.
             { # Responses from model or agent.
               "agentData": { # Represents data specific to multi-turn agent evaluations. # Optional. Represents the complete execution trace of a multi-turn conversation, which can involve single or multiple agents. This field is used to provide the full output of an agent's run, including all turns and events, for direct evaluation.
@@ -7732,13 +8972,13 @@ 
Method Details

                       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                         },
-                        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                             "A String",
                           ],
-                          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                          "environment": "A String", # Required. The environment being operated.
-                          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                          "environment": "A String", # Required. The target environment where the computer use tool operates.
+                          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                             "A String",
                           ],
                         },
@@ -7980,13 +9220,13 @@ 
Method Details

                           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                             },
-                            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                                 "A String",
                               ],
-                              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                              "environment": "A String", # Required. The environment being operated.
-                              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                              "environment": "A String", # Required. The target environment where the computer use tool operates.
+                              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                                 "A String",
                               ],
                             },
@@ -8449,13 +9689,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -8697,13 +9937,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
@@ -9165,13 +10405,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -9413,13 +10653,13 @@ 
Method Details

                         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                           },
-                          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                               "A String",
                             ],
-                            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                            "environment": "A String", # Required. The environment being operated.
-                            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                            "environment": "A String", # Required. The target environment where the computer use tool operates.
+                            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                               "A String",
                             ],
                           },
@@ -10179,13 +11419,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.onlineEvaluators.html b/docs/dyn/aiplatform_v1beta1.projects.locations.onlineEvaluators.html
index 8885e31d80..41893c41cf 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.onlineEvaluators.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.onlineEvaluators.html
@@ -436,6 +436,183 @@ 
Method Details

             "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
               "a_key": "", # Properties of the object.
             },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
           },
           "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
             "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -661,6 +838,183 @@ 
Method Details

           "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
             "a_key": "", # Properties of the object.
           },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
         },
         "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
           "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
@@ -993,45 +1347,222 @@ 
Method Details

                           "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
                           "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                         },
-                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+          "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+              "a_key": "", # Properties of the object.
+            },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                       },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                     },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
                   ],
-                },
-                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
                   },
-                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
-                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                 },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
               },
-              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                "A String",
-              ],
-              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-              },
-              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-              "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-              },
-            },
-            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-          },
-          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-          "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-              "a_key": "", # Properties of the object.
             },
           },
           "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
@@ -1258,6 +1789,183 @@ 
Method Details

           "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
             "a_key": "", # Properties of the object.
           },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
         },
         "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
           "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
@@ -1566,23 +2274,418 @@ 
Method Details

                     "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
                 },
-                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+              "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+              "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+                "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                  "a_key": "", # Properties of the object.
+                },
+                "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                  "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                    "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                          "A String",
+                        ],
+                        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                          "A String",
+                        ],
+                        "diarization": True or False, # Optional. Configures speaker diarization.
+                        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                        },
+                        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                          "A String",
+                        ],
+                        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                            "A String",
+                          ],
+                        },
+                        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                      },
+                      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                      "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                      "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                      "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                        "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                        "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                          "compressionQuality": 42, # Optional. The compression quality of the output image.
+                          "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                        },
+                        "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                        "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                        "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                      },
+                      "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                      "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                      "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                      "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                        "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                      },
+                      "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                      "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                        { # Configuration for the model to configure output formatting and delivery.
+                          "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                            "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "mimeType": "A String", # Optional. The MIME type of the audio output.
+                            "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                          },
+                          "image": { # Configuration for image-specific output formatting. # Image output format.
+                            "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "imageSize": "A String", # Optional. The size of the image output.
+                            "mimeType": "A String", # Optional. The MIME type of the image output.
+                          },
+                          "text": { # Configuration for text-specific output formatting. # Text output format.
+                            "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                            "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                          },
+                          "video": { # Configuration for video-specific output formatting. # Video output format.
+                            "aspectRatio": "A String", # The aspect ratio for the video output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "duration": "A String", # Optional. The duration for the video output.
+                            "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                            "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                          },
+                        },
+                      ],
+                      "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                      "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                      "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                      "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                        "A String",
+                      ],
+                      "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                        "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                        "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                          # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        ],
+                        "default": "", # Optional. Default value to use if the field is not specified.
+                        "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                        "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                          "A String",
+                        ],
+                        "example": "", # Optional. Example of an instance of this schema.
+                        "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                        "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                        "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                        "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                        "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                        "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                        "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                        "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                        "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                        "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                        "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                        "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                        "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                          "A String",
+                        ],
+                        "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                        "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                          "A String",
+                        ],
+                        "title": "A String", # Optional. Title for the schema.
+                        "type": "A String", # Optional. Data type of the schema field.
+                      },
+                      "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                        "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                          "modelRoutingPreference": "A String", # The model routing preference.
+                        },
+                        "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                          "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                        },
+                      },
+                      "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                      "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                        "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                        "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                          "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                            { # Configuration for a single speaker in a multi-speaker setup.
+                              "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                              "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                                "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                  "voiceName": "A String", # The name of the prebuilt voice to use.
+                                },
+                                "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                  "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                  "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                                },
+                                "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                              },
+                            },
+                          ],
+                        },
+                        "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                      "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                        "A String",
+                      ],
+                      "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                      "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                        "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                        "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                        "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                      },
+                      "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                      "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                      "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                        "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                        "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                      },
+                    },
+                    "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                  },
+                },
+              },
+              "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+                "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+                  "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+                  "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+                },
+              },
+              "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+                "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                      "A String",
+                    ],
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+                "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+                "rubricContentType": "A String", # The type of rubric content to be generated.
+                "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+                  "A String",
+                ],
               },
-              "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-              "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-                "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                  "a_key": "", # Properties of the object.
-                },
+              "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+              "systemInstruction": "A String", # Optional. System instructions for the judge model.
+            },
+            "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
+              "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
+                "a_key": "", # Properties of the object.
               },
-              "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-                "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-                  "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-                  "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-                },
+              "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
+                "description": "A String", # Optional. The description of the score explaining the directionality etc.
+                "max": 3.14, # Required. The maximum value of the score range (inclusive).
+                "min": 3.14, # Required. The minimum value of the score range (inclusive).
+                "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
               },
-              "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-                "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+              "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
+            },
+            "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
+              "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
+              "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
+              "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
+                "returnRawOutput": True or False, # Optional. Whether to return raw output.
+              },
+              "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
+              "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
+            },
+            "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
+              "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
+                "returnRawOutput": True or False, # Optional. Whether to return raw output.
+              },
+              "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
+              "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
+            },
+            "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
+              "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+              "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                "a_key": "", # Properties of the object.
+              },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
                   "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
                   "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
                   "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -1757,47 +2860,6 @@ 
Method Details

                   },
                   "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
                 },
-                "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-                "rubricContentType": "A String", # The type of rubric content to be generated.
-                "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-                  "A String",
-                ],
-              },
-              "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-              "systemInstruction": "A String", # Optional. System instructions for the judge model.
-            },
-            "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
-              "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
-                "a_key": "", # Properties of the object.
-              },
-              "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
-                "description": "A String", # Optional. The description of the score explaining the directionality etc.
-                "max": 3.14, # Required. The maximum value of the score range (inclusive).
-                "min": 3.14, # Required. The minimum value of the score range (inclusive).
-                "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
-              },
-              "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
-            },
-            "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
-              "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
-              "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
-              "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
-                "returnRawOutput": True or False, # Optional. Whether to return raw output.
-              },
-              "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
-              "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
-            },
-            "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
-              "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
-                "returnRawOutput": True or False, # Optional. Whether to return raw output.
-              },
-              "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
-              "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
-            },
-            "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
-              "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-              "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                "a_key": "", # Properties of the object.
               },
             },
             "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
@@ -2079,45 +3141,222 @@ 
Method Details

                           "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
                           "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                         },
-                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+          "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+              "a_key": "", # Properties of the object.
+            },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                       },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                     },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
                   ],
-                },
-                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
                   },
-                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                   },
-                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                 },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
               },
-              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                "A String",
-              ],
-              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-              },
-              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-              "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-              },
-            },
-            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-          },
-          "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-          "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-            "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-            "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-              "a_key": "", # Properties of the object.
             },
           },
           "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
@@ -2344,6 +3583,183 @@ 
Method Details

           "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
             "a_key": "", # Properties of the object.
           },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
         },
         "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
           "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html b/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html
index 923f38961d..19ed6148a1 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.publishers.models.html
@@ -646,13 +646,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1603,13 +1603,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2974,13 +2974,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.semanticGovernancePolicies.html b/docs/dyn/aiplatform_v1beta1.projects.locations.semanticGovernancePolicies.html
index 1243865fae..6e4f4af97e 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.semanticGovernancePolicies.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.semanticGovernancePolicies.html
@@ -116,7 +116,7 @@ 
Method Details

     The object takes the form of:
 
 { # Represents a governance policy applied to a specific Agent and optionally a specific Tool within that Agent.
-  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy.
+  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`
   "agentIdentity": "A String", # Output only. Represents the principal of the agent, used by the Policy Decision Point (PDP) for governance checks. For more information, see https://docs.cloud.google.com/agent-builder/agent-engine/agent-identity Format: `principal://TRUST_DOMAIN/NAMESPACE/AGENT_NAME` Example: `principal://agents.global.org-ORGANIZATION_ID.system.id.goog/resources/aiplatform/projects/PROJECT_NUMBER/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID`
   "agentResponseCustomization": { # Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial). # Optional. Settings for customizing the agent's response to end users when this policy is evaluated, such as messages displayed when the policy denies a request.
     "denialMessage": "A String", # Optional. Custom message shown to the end user when the policy check results in a denial. Use this to explain the rationale to the user. Max 1000 characters.
@@ -129,7 +129,7 @@ 
Method Details

   "mcpTools": [ # Optional. The McpTools that are affected by this policy.
     { # Represents a governance policy applied to MCP tools used by an Agent.
       "mcpServer": "A String", # Required. The resource name of the McpServer in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`
-      "tools": [ # Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.
+      "tools": [ # Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.
         "A String",
       ],
     },
@@ -220,7 +220,7 @@ 
Method Details

   An object of the form:
 
     { # Represents a governance policy applied to a specific Agent and optionally a specific Tool within that Agent.
-  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy.
+  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`
   "agentIdentity": "A String", # Output only. Represents the principal of the agent, used by the Policy Decision Point (PDP) for governance checks. For more information, see https://docs.cloud.google.com/agent-builder/agent-engine/agent-identity Format: `principal://TRUST_DOMAIN/NAMESPACE/AGENT_NAME` Example: `principal://agents.global.org-ORGANIZATION_ID.system.id.goog/resources/aiplatform/projects/PROJECT_NUMBER/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID`
   "agentResponseCustomization": { # Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial). # Optional. Settings for customizing the agent's response to end users when this policy is evaluated, such as messages displayed when the policy denies a request.
     "denialMessage": "A String", # Optional. Custom message shown to the end user when the policy check results in a denial. Use this to explain the rationale to the user. Max 1000 characters.
@@ -233,7 +233,7 @@ 
Method Details

   "mcpTools": [ # Optional. The McpTools that are affected by this policy.
     { # Represents a governance policy applied to MCP tools used by an Agent.
       "mcpServer": "A String", # Required. The resource name of the McpServer in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`
-      "tools": [ # Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.
+      "tools": [ # Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.
         "A String",
       ],
     },
@@ -264,7 +264,7 @@ 
Method Details

   "nextPageToken": "A String", # A token to retrieve the next page of results. Pass to ListSemanticGovernancePoliciesRequest.page_token to obtain that page.
   "semanticGovernancePolicies": [ # The list of SemanticGovernancePolicies.
     { # Represents a governance policy applied to a specific Agent and optionally a specific Tool within that Agent.
-      "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy.
+      "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`
       "agentIdentity": "A String", # Output only. Represents the principal of the agent, used by the Policy Decision Point (PDP) for governance checks. For more information, see https://docs.cloud.google.com/agent-builder/agent-engine/agent-identity Format: `principal://TRUST_DOMAIN/NAMESPACE/AGENT_NAME` Example: `principal://agents.global.org-ORGANIZATION_ID.system.id.goog/resources/aiplatform/projects/PROJECT_NUMBER/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID`
       "agentResponseCustomization": { # Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial). # Optional. Settings for customizing the agent's response to end users when this policy is evaluated, such as messages displayed when the policy denies a request.
         "denialMessage": "A String", # Optional. Custom message shown to the end user when the policy check results in a denial. Use this to explain the rationale to the user. Max 1000 characters.
@@ -277,7 +277,7 @@ 
Method Details

       "mcpTools": [ # Optional. The McpTools that are affected by this policy.
         { # Represents a governance policy applied to MCP tools used by an Agent.
           "mcpServer": "A String", # Required. The resource name of the McpServer in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`
-          "tools": [ # Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.
+          "tools": [ # Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.
             "A String",
           ],
         },
@@ -314,7 +314,7 @@ 
Method Details

     The object takes the form of:
 
 { # Represents a governance policy applied to a specific Agent and optionally a specific Tool within that Agent.
-  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy.
+  "agent": "A String", # Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`
   "agentIdentity": "A String", # Output only. Represents the principal of the agent, used by the Policy Decision Point (PDP) for governance checks. For more information, see https://docs.cloud.google.com/agent-builder/agent-engine/agent-identity Format: `principal://TRUST_DOMAIN/NAMESPACE/AGENT_NAME` Example: `principal://agents.global.org-ORGANIZATION_ID.system.id.goog/resources/aiplatform/projects/PROJECT_NUMBER/locations/LOCATION/reasoningEngines/AGENT_ENGINE_ID`
   "agentResponseCustomization": { # Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial). # Optional. Settings for customizing the agent's response to end users when this policy is evaluated, such as messages displayed when the policy denies a request.
     "denialMessage": "A String", # Optional. Custom message shown to the end user when the policy check results in a denial. Use this to explain the rationale to the user. Max 1000 characters.
@@ -327,7 +327,7 @@ 
Method Details

   "mcpTools": [ # Optional. The McpTools that are affected by this policy.
     { # Represents a governance policy applied to MCP tools used by an Agent.
       "mcpServer": "A String", # Required. The resource name of the McpServer in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/mcpServers/{mcp_server}`
-      "tools": [ # Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.
+      "tools": [ # Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.
         "A String",
       ],
     },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.tuningJobs.html b/docs/dyn/aiplatform_v1beta1.projects.locations.tuningJobs.html
index a22a34b188..9f44fb1b94 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.tuningJobs.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.tuningJobs.html
@@ -1318,6 +1318,183 @@ 
Method Details

               "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
                 "a_key": "", # Properties of the object.
               },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                      "A String",
+                    ],
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+              },
             },
             "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
               "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -1543,87 +1720,264 @@ 
Method Details

             "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
               "a_key": "", # Properties of the object.
             },
-          },
-          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-          },
-        },
-      ],
-      "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
-        "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
-          "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
-        },
-      },
-    },
-    "exportLastCheckpointOnly": True or False, # Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
-    "hyperParameters": { # Hyperparameters for SFT. # Optional. Hyperparameters for SFT.
-      "adapterSize": "A String", # Optional. Adapter size for tuning.
-      "batchSize": "A String", # Optional. Batch size for tuning. This feature is only available for open source models.
-      "epochCount": "A String", # Optional. Number of complete passes the model makes over the entire training dataset during training.
-      "learningRate": 3.14, # Optional. Learning rate for tuning. Mutually exclusive with `learning_rate_multiplier`. This feature is only available for open source models.
-      "learningRateMultiplier": 3.14, # Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models.
-    },
-    "trainingDatasetUri": "A String", # Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
-    "tuningMode": "A String", # Tuning mode.
-    "validationDatasetUri": "A String", # Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
-  },
-  "tunedModel": { # The Model Registry Model and Online Prediction Endpoint associated with this TuningJob. # Output only. The tuned model resources associated with this TuningJob.
-    "checkpoints": [ # Output only. The checkpoints associated with this TunedModel. This field is only populated for tuning jobs that enable intermediate checkpoints.
-      { # TunedModelCheckpoint for the Tuned Model of a Tuning Job.
-        "checkpointId": "A String", # The ID of the checkpoint.
-        "endpoint": "A String", # The Endpoint resource name that the checkpoint is deployed to. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
-        "epoch": "A String", # The epoch of the checkpoint.
-        "step": "A String", # The step of the checkpoint.
-      },
-    ],
-    "endpoint": "A String", # Output only. A resource name of an Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
-    "model": "A String", # Output only. The resource name of the TunedModel. Format: `projects/{project}/locations/{location}/models/{model}@{version_id}` When tuning from a base model, the version ID will be 1. For continuous tuning, if the provided tuned_model_display_name is set and different from parent model's display name, the tuned model will have a new parent model with version 1. Otherwise the version id will be incremented by 1 from the last version ID in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`
-  },
-  "tunedModelDisplayName": "A String", # Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version.
-  "tuningDataStats": { # The tuning data statistic values for TuningJob. # Output only. The tuning data statistics associated with this TuningJob.
-    "distillationDataStats": { # Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model. # Output only. Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model.
-      "trainingDatasetStats": { # Statistics computed over a tuning dataset. # Output only. Statistics computed for the training dataset.
-        "contentsPerExampleDistribution": { # Distribution computed over a tuning dataset. # Output only. Dataset distributions for the number of contents per example.
-          "buckets": [ # Output only. Defines the histogram bucket.
-            { # Dataset bucket used to create a histogram for the distribution given a population of values.
-              "count": "A String", # Output only. Number of values in the bucket.
-              "left": 3.14, # Output only. Left bound of the bucket.
-              "right": 3.14, # Output only. Right bound of the bucket.
-            },
-          ],
-          "max": 3.14, # Output only. The maximum of the population values.
-          "mean": 3.14, # Output only. The arithmetic mean of the values in the population.
-          "median": 3.14, # Output only. The median of the values in the population.
-          "min": 3.14, # Output only. The minimum of the population values.
-          "p5": 3.14, # Output only. The 5th percentile of the values in the population.
-          "p95": 3.14, # Output only. The 95th percentile of the values in the population.
-          "sum": 3.14, # Output only. Sum of a given population of values.
-        },
-        "droppedExampleIndices": [ # Output only. A partial sample of the indices (starting from 1) of the dropped examples.
-          "A String",
-        ],
-        "droppedExampleReasons": [ # Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
-          "A String",
-        ],
-        "reinforcementTuningUserDatasetExamples": { # Sample reinforcement tuning user data in the training dataset. The contents are truncated for better UI showing. # Output only. Sample user dataset examples in the training dataset uri for Reinforcement Tuning.
-          "userDatasetExamples": [ # List of user datasset examples showing to user.
-            { # User-facing format for Gemini Reinforcement Tuning examples on Vertex.
-              "contents": [ # Multi-turn contents that represents the Prompt.
-                { # The structured data content of a message. A Content message contains a `role` field, which indicates the producer of the content, and a `parts` field, which contains the multi-part data of the message.
-                  "parts": [ # Required. A list of Part objects that make up a single message. Parts of a message can have different MIME types. A Content message must have at least one Part.
-                    { # A datatype containing media that is part of a multi-part Content message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. For media types that are not text, `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
-                      "audioTranscription": { # The transcription of an audio part. For multi-speaker audio, each speaker segment is a separate `Part` with its own `AudioTranscription` carrying the `speaker_label`. # Optional. Audio (input or output) transcription. This is only set when this `Part` contains audio data.
-                        "speakerLabel": "A String", # Optional. A label identifying the speaker of this audio segment (e.g. `spk_1`, `spk_2`). Present when `diarization` is set.
-                        "text": "A String", # Required. The transcription text of this audio segment.
-                        "words": [ # Optional. Detailed word-level transcriptions and timing details. Present when `word_timestamp` is set.
-                          { # Information about a single recognized word.
-                            "endOffset": "A String", # Optional. End offset in time of the word relative to the start of the audio.
-                            "startOffset": "A String", # Optional. Start offset in time of the word relative to the start of the audio.
-                            "word": "A String", # Required. Transcript of the word.
-                          },
-                        ],
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
+          },
+          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+          },
+        },
+      ],
+      "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
+        "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
+          "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
+        },
+      },
+    },
+    "exportLastCheckpointOnly": True or False, # Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
+    "hyperParameters": { # Hyperparameters for SFT. # Optional. Hyperparameters for SFT.
+      "adapterSize": "A String", # Optional. Adapter size for tuning.
+      "batchSize": "A String", # Optional. Batch size for tuning. This feature is only available for open source models.
+      "epochCount": "A String", # Optional. Number of complete passes the model makes over the entire training dataset during training.
+      "learningRate": 3.14, # Optional. Learning rate for tuning. Mutually exclusive with `learning_rate_multiplier`. This feature is only available for open source models.
+      "learningRateMultiplier": 3.14, # Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models.
+    },
+    "trainingDatasetUri": "A String", # Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
+    "tuningMode": "A String", # Tuning mode.
+    "validationDatasetUri": "A String", # Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
+  },
+  "tunedModel": { # The Model Registry Model and Online Prediction Endpoint associated with this TuningJob. # Output only. The tuned model resources associated with this TuningJob.
+    "checkpoints": [ # Output only. The checkpoints associated with this TunedModel. This field is only populated for tuning jobs that enable intermediate checkpoints.
+      { # TunedModelCheckpoint for the Tuned Model of a Tuning Job.
+        "checkpointId": "A String", # The ID of the checkpoint.
+        "endpoint": "A String", # The Endpoint resource name that the checkpoint is deployed to. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+        "epoch": "A String", # The epoch of the checkpoint.
+        "step": "A String", # The step of the checkpoint.
+      },
+    ],
+    "endpoint": "A String", # Output only. A resource name of an Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+    "model": "A String", # Output only. The resource name of the TunedModel. Format: `projects/{project}/locations/{location}/models/{model}@{version_id}` When tuning from a base model, the version ID will be 1. For continuous tuning, if the provided tuned_model_display_name is set and different from parent model's display name, the tuned model will have a new parent model with version 1. Otherwise the version id will be incremented by 1 from the last version ID in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`
+  },
+  "tunedModelDisplayName": "A String", # Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version.
+  "tuningDataStats": { # The tuning data statistic values for TuningJob. # Output only. The tuning data statistics associated with this TuningJob.
+    "distillationDataStats": { # Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model. # Output only. Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model.
+      "trainingDatasetStats": { # Statistics computed over a tuning dataset. # Output only. Statistics computed for the training dataset.
+        "contentsPerExampleDistribution": { # Distribution computed over a tuning dataset. # Output only. Dataset distributions for the number of contents per example.
+          "buckets": [ # Output only. Defines the histogram bucket.
+            { # Dataset bucket used to create a histogram for the distribution given a population of values.
+              "count": "A String", # Output only. Number of values in the bucket.
+              "left": 3.14, # Output only. Left bound of the bucket.
+              "right": 3.14, # Output only. Right bound of the bucket.
+            },
+          ],
+          "max": 3.14, # Output only. The maximum of the population values.
+          "mean": 3.14, # Output only. The arithmetic mean of the values in the population.
+          "median": 3.14, # Output only. The median of the values in the population.
+          "min": 3.14, # Output only. The minimum of the population values.
+          "p5": 3.14, # Output only. The 5th percentile of the values in the population.
+          "p95": 3.14, # Output only. The 95th percentile of the values in the population.
+          "sum": 3.14, # Output only. Sum of a given population of values.
+        },
+        "droppedExampleIndices": [ # Output only. A partial sample of the indices (starting from 1) of the dropped examples.
+          "A String",
+        ],
+        "droppedExampleReasons": [ # Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
+          "A String",
+        ],
+        "reinforcementTuningUserDatasetExamples": { # Sample reinforcement tuning user data in the training dataset. The contents are truncated for better UI showing. # Output only. Sample user dataset examples in the training dataset uri for Reinforcement Tuning.
+          "userDatasetExamples": [ # List of user datasset examples showing to user.
+            { # User-facing format for Gemini Reinforcement Tuning examples on Vertex.
+              "contents": [ # Multi-turn contents that represents the Prompt.
+                { # The structured data content of a message. A Content message contains a `role` field, which indicates the producer of the content, and a `parts` field, which contains the multi-part data of the message.
+                  "parts": [ # Required. A list of Part objects that make up a single message. Parts of a message can have different MIME types. A Content message must have at least one Part.
+                    { # A datatype containing media that is part of a multi-part Content message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. For media types that are not text, `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
+                      "audioTranscription": { # The transcription of an audio part. For multi-speaker audio, each speaker segment is a separate `Part` with its own `AudioTranscription` carrying the `speaker_label`. # Optional. Audio (input or output) transcription. This is only set when this `Part` contains audio data.
+                        "speakerLabel": "A String", # Optional. A label identifying the speaker of this audio segment (e.g. `spk_1`, `spk_2`). Present when `diarization` is set.
+                        "text": "A String", # Required. The transcription text of this audio segment.
+                        "words": [ # Optional. Detailed word-level transcriptions and timing details. Present when `word_timestamp` is set.
+                          { # Information about a single recognized word.
+                            "endOffset": "A String", # Optional. End offset in time of the word relative to the start of the audio.
+                            "startOffset": "A String", # Optional. Start offset in time of the word relative to the start of the audio.
+                            "word": "A String", # Required. Transcript of the word.
+                          },
+                        ],
                       },
                       "codeExecutionResult": { # Result of executing the ExecutableCode. Generated only when the `CodeExecution` tool is used. # Optional. The result of executing the ExecutableCode.
                         "id": "A String", # Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.
@@ -1807,13 +2161,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -2696,13 +3050,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -4460,6 +4814,183 @@ 
Method Details

               "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
                 "a_key": "", # Properties of the object.
               },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                      "A String",
+                    ],
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+              },
             },
             "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
               "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -4685,87 +5216,264 @@ 
Method Details

             "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
               "a_key": "", # Properties of the object.
             },
-          },
-          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-          },
-        },
-      ],
-      "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
-        "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
-          "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
-        },
-      },
-    },
-    "exportLastCheckpointOnly": True or False, # Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
-    "hyperParameters": { # Hyperparameters for SFT. # Optional. Hyperparameters for SFT.
-      "adapterSize": "A String", # Optional. Adapter size for tuning.
-      "batchSize": "A String", # Optional. Batch size for tuning. This feature is only available for open source models.
-      "epochCount": "A String", # Optional. Number of complete passes the model makes over the entire training dataset during training.
-      "learningRate": 3.14, # Optional. Learning rate for tuning. Mutually exclusive with `learning_rate_multiplier`. This feature is only available for open source models.
-      "learningRateMultiplier": 3.14, # Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models.
-    },
-    "trainingDatasetUri": "A String", # Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
-    "tuningMode": "A String", # Tuning mode.
-    "validationDatasetUri": "A String", # Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
-  },
-  "tunedModel": { # The Model Registry Model and Online Prediction Endpoint associated with this TuningJob. # Output only. The tuned model resources associated with this TuningJob.
-    "checkpoints": [ # Output only. The checkpoints associated with this TunedModel. This field is only populated for tuning jobs that enable intermediate checkpoints.
-      { # TunedModelCheckpoint for the Tuned Model of a Tuning Job.
-        "checkpointId": "A String", # The ID of the checkpoint.
-        "endpoint": "A String", # The Endpoint resource name that the checkpoint is deployed to. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
-        "epoch": "A String", # The epoch of the checkpoint.
-        "step": "A String", # The step of the checkpoint.
-      },
-    ],
-    "endpoint": "A String", # Output only. A resource name of an Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
-    "model": "A String", # Output only. The resource name of the TunedModel. Format: `projects/{project}/locations/{location}/models/{model}@{version_id}` When tuning from a base model, the version ID will be 1. For continuous tuning, if the provided tuned_model_display_name is set and different from parent model's display name, the tuned model will have a new parent model with version 1. Otherwise the version id will be incremented by 1 from the last version ID in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`
-  },
-  "tunedModelDisplayName": "A String", # Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version.
-  "tuningDataStats": { # The tuning data statistic values for TuningJob. # Output only. The tuning data statistics associated with this TuningJob.
-    "distillationDataStats": { # Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model. # Output only. Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model.
-      "trainingDatasetStats": { # Statistics computed over a tuning dataset. # Output only. Statistics computed for the training dataset.
-        "contentsPerExampleDistribution": { # Distribution computed over a tuning dataset. # Output only. Dataset distributions for the number of contents per example.
-          "buckets": [ # Output only. Defines the histogram bucket.
-            { # Dataset bucket used to create a histogram for the distribution given a population of values.
-              "count": "A String", # Output only. Number of values in the bucket.
-              "left": 3.14, # Output only. Left bound of the bucket.
-              "right": 3.14, # Output only. Right bound of the bucket.
-            },
-          ],
-          "max": 3.14, # Output only. The maximum of the population values.
-          "mean": 3.14, # Output only. The arithmetic mean of the values in the population.
-          "median": 3.14, # Output only. The median of the values in the population.
-          "min": 3.14, # Output only. The minimum of the population values.
-          "p5": 3.14, # Output only. The 5th percentile of the values in the population.
-          "p95": 3.14, # Output only. The 95th percentile of the values in the population.
-          "sum": 3.14, # Output only. Sum of a given population of values.
-        },
-        "droppedExampleIndices": [ # Output only. A partial sample of the indices (starting from 1) of the dropped examples.
-          "A String",
-        ],
-        "droppedExampleReasons": [ # Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
-          "A String",
-        ],
-        "reinforcementTuningUserDatasetExamples": { # Sample reinforcement tuning user data in the training dataset. The contents are truncated for better UI showing. # Output only. Sample user dataset examples in the training dataset uri for Reinforcement Tuning.
-          "userDatasetExamples": [ # List of user datasset examples showing to user.
-            { # User-facing format for Gemini Reinforcement Tuning examples on Vertex.
-              "contents": [ # Multi-turn contents that represents the Prompt.
-                { # The structured data content of a message. A Content message contains a `role` field, which indicates the producer of the content, and a `parts` field, which contains the multi-part data of the message.
-                  "parts": [ # Required. A list of Part objects that make up a single message. Parts of a message can have different MIME types. A Content message must have at least one Part.
-                    { # A datatype containing media that is part of a multi-part Content message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. For media types that are not text, `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
-                      "audioTranscription": { # The transcription of an audio part. For multi-speaker audio, each speaker segment is a separate `Part` with its own `AudioTranscription` carrying the `speaker_label`. # Optional. Audio (input or output) transcription. This is only set when this `Part` contains audio data.
-                        "speakerLabel": "A String", # Optional. A label identifying the speaker of this audio segment (e.g. `spk_1`, `spk_2`). Present when `diarization` is set.
-                        "text": "A String", # Required. The transcription text of this audio segment.
-                        "words": [ # Optional. Detailed word-level transcriptions and timing details. Present when `word_timestamp` is set.
-                          { # Information about a single recognized word.
-                            "endOffset": "A String", # Optional. End offset in time of the word relative to the start of the audio.
-                            "startOffset": "A String", # Optional. Start offset in time of the word relative to the start of the audio.
-                            "word": "A String", # Required. Transcript of the word.
-                          },
-                        ],
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
+          },
+          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+          },
+        },
+      ],
+      "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
+        "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
+          "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
+        },
+      },
+    },
+    "exportLastCheckpointOnly": True or False, # Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
+    "hyperParameters": { # Hyperparameters for SFT. # Optional. Hyperparameters for SFT.
+      "adapterSize": "A String", # Optional. Adapter size for tuning.
+      "batchSize": "A String", # Optional. Batch size for tuning. This feature is only available for open source models.
+      "epochCount": "A String", # Optional. Number of complete passes the model makes over the entire training dataset during training.
+      "learningRate": 3.14, # Optional. Learning rate for tuning. Mutually exclusive with `learning_rate_multiplier`. This feature is only available for open source models.
+      "learningRateMultiplier": 3.14, # Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models.
+    },
+    "trainingDatasetUri": "A String", # Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
+    "tuningMode": "A String", # Tuning mode.
+    "validationDatasetUri": "A String", # Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
+  },
+  "tunedModel": { # The Model Registry Model and Online Prediction Endpoint associated with this TuningJob. # Output only. The tuned model resources associated with this TuningJob.
+    "checkpoints": [ # Output only. The checkpoints associated with this TunedModel. This field is only populated for tuning jobs that enable intermediate checkpoints.
+      { # TunedModelCheckpoint for the Tuned Model of a Tuning Job.
+        "checkpointId": "A String", # The ID of the checkpoint.
+        "endpoint": "A String", # The Endpoint resource name that the checkpoint is deployed to. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+        "epoch": "A String", # The epoch of the checkpoint.
+        "step": "A String", # The step of the checkpoint.
+      },
+    ],
+    "endpoint": "A String", # Output only. A resource name of an Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+    "model": "A String", # Output only. The resource name of the TunedModel. Format: `projects/{project}/locations/{location}/models/{model}@{version_id}` When tuning from a base model, the version ID will be 1. For continuous tuning, if the provided tuned_model_display_name is set and different from parent model's display name, the tuned model will have a new parent model with version 1. Otherwise the version id will be incremented by 1 from the last version ID in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`
+  },
+  "tunedModelDisplayName": "A String", # Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version.
+  "tuningDataStats": { # The tuning data statistic values for TuningJob. # Output only. The tuning data statistics associated with this TuningJob.
+    "distillationDataStats": { # Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model. # Output only. Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model.
+      "trainingDatasetStats": { # Statistics computed over a tuning dataset. # Output only. Statistics computed for the training dataset.
+        "contentsPerExampleDistribution": { # Distribution computed over a tuning dataset. # Output only. Dataset distributions for the number of contents per example.
+          "buckets": [ # Output only. Defines the histogram bucket.
+            { # Dataset bucket used to create a histogram for the distribution given a population of values.
+              "count": "A String", # Output only. Number of values in the bucket.
+              "left": 3.14, # Output only. Left bound of the bucket.
+              "right": 3.14, # Output only. Right bound of the bucket.
+            },
+          ],
+          "max": 3.14, # Output only. The maximum of the population values.
+          "mean": 3.14, # Output only. The arithmetic mean of the values in the population.
+          "median": 3.14, # Output only. The median of the values in the population.
+          "min": 3.14, # Output only. The minimum of the population values.
+          "p5": 3.14, # Output only. The 5th percentile of the values in the population.
+          "p95": 3.14, # Output only. The 95th percentile of the values in the population.
+          "sum": 3.14, # Output only. Sum of a given population of values.
+        },
+        "droppedExampleIndices": [ # Output only. A partial sample of the indices (starting from 1) of the dropped examples.
+          "A String",
+        ],
+        "droppedExampleReasons": [ # Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
+          "A String",
+        ],
+        "reinforcementTuningUserDatasetExamples": { # Sample reinforcement tuning user data in the training dataset. The contents are truncated for better UI showing. # Output only. Sample user dataset examples in the training dataset uri for Reinforcement Tuning.
+          "userDatasetExamples": [ # List of user datasset examples showing to user.
+            { # User-facing format for Gemini Reinforcement Tuning examples on Vertex.
+              "contents": [ # Multi-turn contents that represents the Prompt.
+                { # The structured data content of a message. A Content message contains a `role` field, which indicates the producer of the content, and a `parts` field, which contains the multi-part data of the message.
+                  "parts": [ # Required. A list of Part objects that make up a single message. Parts of a message can have different MIME types. A Content message must have at least one Part.
+                    { # A datatype containing media that is part of a multi-part Content message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. For media types that are not text, `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
+                      "audioTranscription": { # The transcription of an audio part. For multi-speaker audio, each speaker segment is a separate `Part` with its own `AudioTranscription` carrying the `speaker_label`. # Optional. Audio (input or output) transcription. This is only set when this `Part` contains audio data.
+                        "speakerLabel": "A String", # Optional. A label identifying the speaker of this audio segment (e.g. `spk_1`, `spk_2`). Present when `diarization` is set.
+                        "text": "A String", # Required. The transcription text of this audio segment.
+                        "words": [ # Optional. Detailed word-level transcriptions and timing details. Present when `word_timestamp` is set.
+                          { # Information about a single recognized word.
+                            "endOffset": "A String", # Optional. End offset in time of the word relative to the start of the audio.
+                            "startOffset": "A String", # Optional. Start offset in time of the word relative to the start of the audio.
+                            "word": "A String", # Required. Transcript of the word.
+                          },
+                        ],
                       },
                       "codeExecutionResult": { # Result of executing the ExecutableCode. Generated only when the `CodeExecution` tool is used. # Optional. The result of executing the ExecutableCode.
                         "id": "A String", # Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.
@@ -4949,13 +5657,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -5838,13 +6546,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -7609,6 +8317,183 @@ 
Method Details

               "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
                 "a_key": "", # Properties of the object.
               },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                      "A String",
+                    ],
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+              },
             },
             "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
               "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -7834,87 +8719,264 @@ 
Method Details

             "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
               "a_key": "", # Properties of the object.
             },
-          },
-          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-          },
-        },
-      ],
-      "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
-        "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
-          "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
-        },
-      },
-    },
-    "exportLastCheckpointOnly": True or False, # Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
-    "hyperParameters": { # Hyperparameters for SFT. # Optional. Hyperparameters for SFT.
-      "adapterSize": "A String", # Optional. Adapter size for tuning.
-      "batchSize": "A String", # Optional. Batch size for tuning. This feature is only available for open source models.
-      "epochCount": "A String", # Optional. Number of complete passes the model makes over the entire training dataset during training.
-      "learningRate": 3.14, # Optional. Learning rate for tuning. Mutually exclusive with `learning_rate_multiplier`. This feature is only available for open source models.
-      "learningRateMultiplier": 3.14, # Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models.
-    },
-    "trainingDatasetUri": "A String", # Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
-    "tuningMode": "A String", # Tuning mode.
-    "validationDatasetUri": "A String", # Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
-  },
-  "tunedModel": { # The Model Registry Model and Online Prediction Endpoint associated with this TuningJob. # Output only. The tuned model resources associated with this TuningJob.
-    "checkpoints": [ # Output only. The checkpoints associated with this TunedModel. This field is only populated for tuning jobs that enable intermediate checkpoints.
-      { # TunedModelCheckpoint for the Tuned Model of a Tuning Job.
-        "checkpointId": "A String", # The ID of the checkpoint.
-        "endpoint": "A String", # The Endpoint resource name that the checkpoint is deployed to. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
-        "epoch": "A String", # The epoch of the checkpoint.
-        "step": "A String", # The step of the checkpoint.
-      },
-    ],
-    "endpoint": "A String", # Output only. A resource name of an Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
-    "model": "A String", # Output only. The resource name of the TunedModel. Format: `projects/{project}/locations/{location}/models/{model}@{version_id}` When tuning from a base model, the version ID will be 1. For continuous tuning, if the provided tuned_model_display_name is set and different from parent model's display name, the tuned model will have a new parent model with version 1. Otherwise the version id will be incremented by 1 from the last version ID in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`
-  },
-  "tunedModelDisplayName": "A String", # Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version.
-  "tuningDataStats": { # The tuning data statistic values for TuningJob. # Output only. The tuning data statistics associated with this TuningJob.
-    "distillationDataStats": { # Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model. # Output only. Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model.
-      "trainingDatasetStats": { # Statistics computed over a tuning dataset. # Output only. Statistics computed for the training dataset.
-        "contentsPerExampleDistribution": { # Distribution computed over a tuning dataset. # Output only. Dataset distributions for the number of contents per example.
-          "buckets": [ # Output only. Defines the histogram bucket.
-            { # Dataset bucket used to create a histogram for the distribution given a population of values.
-              "count": "A String", # Output only. Number of values in the bucket.
-              "left": 3.14, # Output only. Left bound of the bucket.
-              "right": 3.14, # Output only. Right bound of the bucket.
-            },
-          ],
-          "max": 3.14, # Output only. The maximum of the population values.
-          "mean": 3.14, # Output only. The arithmetic mean of the values in the population.
-          "median": 3.14, # Output only. The median of the values in the population.
-          "min": 3.14, # Output only. The minimum of the population values.
-          "p5": 3.14, # Output only. The 5th percentile of the values in the population.
-          "p95": 3.14, # Output only. The 95th percentile of the values in the population.
-          "sum": 3.14, # Output only. Sum of a given population of values.
-        },
-        "droppedExampleIndices": [ # Output only. A partial sample of the indices (starting from 1) of the dropped examples.
-          "A String",
-        ],
-        "droppedExampleReasons": [ # Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
-          "A String",
-        ],
-        "reinforcementTuningUserDatasetExamples": { # Sample reinforcement tuning user data in the training dataset. The contents are truncated for better UI showing. # Output only. Sample user dataset examples in the training dataset uri for Reinforcement Tuning.
-          "userDatasetExamples": [ # List of user datasset examples showing to user.
-            { # User-facing format for Gemini Reinforcement Tuning examples on Vertex.
-              "contents": [ # Multi-turn contents that represents the Prompt.
-                { # The structured data content of a message. A Content message contains a `role` field, which indicates the producer of the content, and a `parts` field, which contains the multi-part data of the message.
-                  "parts": [ # Required. A list of Part objects that make up a single message. Parts of a message can have different MIME types. A Content message must have at least one Part.
-                    { # A datatype containing media that is part of a multi-part Content message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. For media types that are not text, `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
-                      "audioTranscription": { # The transcription of an audio part. For multi-speaker audio, each speaker segment is a separate `Part` with its own `AudioTranscription` carrying the `speaker_label`. # Optional. Audio (input or output) transcription. This is only set when this `Part` contains audio data.
-                        "speakerLabel": "A String", # Optional. A label identifying the speaker of this audio segment (e.g. `spk_1`, `spk_2`). Present when `diarization` is set.
-                        "text": "A String", # Required. The transcription text of this audio segment.
-                        "words": [ # Optional. Detailed word-level transcriptions and timing details. Present when `word_timestamp` is set.
-                          { # Information about a single recognized word.
-                            "endOffset": "A String", # Optional. End offset in time of the word relative to the start of the audio.
-                            "startOffset": "A String", # Optional. Start offset in time of the word relative to the start of the audio.
-                            "word": "A String", # Required. Transcript of the word.
-                          },
-                        ],
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
+          },
+          "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+            "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+            "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+            "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+          },
+        },
+      ],
+      "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
+        "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
+          "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
+        },
+      },
+    },
+    "exportLastCheckpointOnly": True or False, # Optional. If set to true, disable intermediate checkpoints for SFT and only the last checkpoint will be exported. Otherwise, enable intermediate checkpoints for SFT. Default is false.
+    "hyperParameters": { # Hyperparameters for SFT. # Optional. Hyperparameters for SFT.
+      "adapterSize": "A String", # Optional. Adapter size for tuning.
+      "batchSize": "A String", # Optional. Batch size for tuning. This feature is only available for open source models.
+      "epochCount": "A String", # Optional. Number of complete passes the model makes over the entire training dataset during training.
+      "learningRate": 3.14, # Optional. Learning rate for tuning. Mutually exclusive with `learning_rate_multiplier`. This feature is only available for open source models.
+      "learningRateMultiplier": 3.14, # Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`. This feature is only available for 1P models.
+    },
+    "trainingDatasetUri": "A String", # Required. Training dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
+    "tuningMode": "A String", # Tuning mode.
+    "validationDatasetUri": "A String", # Optional. Validation dataset used for tuning. The dataset can be specified as either a Cloud Storage path to a JSONL file or as the resource name of a Vertex Multimodal Dataset.
+  },
+  "tunedModel": { # The Model Registry Model and Online Prediction Endpoint associated with this TuningJob. # Output only. The tuned model resources associated with this TuningJob.
+    "checkpoints": [ # Output only. The checkpoints associated with this TunedModel. This field is only populated for tuning jobs that enable intermediate checkpoints.
+      { # TunedModelCheckpoint for the Tuned Model of a Tuning Job.
+        "checkpointId": "A String", # The ID of the checkpoint.
+        "endpoint": "A String", # The Endpoint resource name that the checkpoint is deployed to. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+        "epoch": "A String", # The epoch of the checkpoint.
+        "step": "A String", # The step of the checkpoint.
+      },
+    ],
+    "endpoint": "A String", # Output only. A resource name of an Endpoint. Format: `projects/{project}/locations/{location}/endpoints/{endpoint}`.
+    "model": "A String", # Output only. The resource name of the TunedModel. Format: `projects/{project}/locations/{location}/models/{model}@{version_id}` When tuning from a base model, the version ID will be 1. For continuous tuning, if the provided tuned_model_display_name is set and different from parent model's display name, the tuned model will have a new parent model with version 1. Otherwise the version id will be incremented by 1 from the last version ID in the parent model. E.g., `projects/{project}/locations/{location}/models/{model}@{last_version_id + 1}`
+  },
+  "tunedModelDisplayName": "A String", # Optional. The display name of the TunedModel. The name can be up to 128 characters long and can consist of any UTF-8 characters. For continuous tuning, tuned_model_display_name will by default use the same display name as the pre-tuned model. If a new display name is provided, the tuning job will create a new model instead of a new version.
+  "tuningDataStats": { # The tuning data statistic values for TuningJob. # Output only. The tuning data statistics associated with this TuningJob.
+    "distillationDataStats": { # Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model. # Output only. Statistics for distillation prompt dataset. These statistics do not include the responses sampled from the teacher model.
+      "trainingDatasetStats": { # Statistics computed over a tuning dataset. # Output only. Statistics computed for the training dataset.
+        "contentsPerExampleDistribution": { # Distribution computed over a tuning dataset. # Output only. Dataset distributions for the number of contents per example.
+          "buckets": [ # Output only. Defines the histogram bucket.
+            { # Dataset bucket used to create a histogram for the distribution given a population of values.
+              "count": "A String", # Output only. Number of values in the bucket.
+              "left": 3.14, # Output only. Left bound of the bucket.
+              "right": 3.14, # Output only. Right bound of the bucket.
+            },
+          ],
+          "max": 3.14, # Output only. The maximum of the population values.
+          "mean": 3.14, # Output only. The arithmetic mean of the values in the population.
+          "median": 3.14, # Output only. The median of the values in the population.
+          "min": 3.14, # Output only. The minimum of the population values.
+          "p5": 3.14, # Output only. The 5th percentile of the values in the population.
+          "p95": 3.14, # Output only. The 95th percentile of the values in the population.
+          "sum": 3.14, # Output only. Sum of a given population of values.
+        },
+        "droppedExampleIndices": [ # Output only. A partial sample of the indices (starting from 1) of the dropped examples.
+          "A String",
+        ],
+        "droppedExampleReasons": [ # Output only. For each index in `dropped_example_indices`, the user-facing reason why the example was dropped.
+          "A String",
+        ],
+        "reinforcementTuningUserDatasetExamples": { # Sample reinforcement tuning user data in the training dataset. The contents are truncated for better UI showing. # Output only. Sample user dataset examples in the training dataset uri for Reinforcement Tuning.
+          "userDatasetExamples": [ # List of user datasset examples showing to user.
+            { # User-facing format for Gemini Reinforcement Tuning examples on Vertex.
+              "contents": [ # Multi-turn contents that represents the Prompt.
+                { # The structured data content of a message. A Content message contains a `role` field, which indicates the producer of the content, and a `parts` field, which contains the multi-part data of the message.
+                  "parts": [ # Required. A list of Part objects that make up a single message. Parts of a message can have different MIME types. A Content message must have at least one Part.
+                    { # A datatype containing media that is part of a multi-part Content message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. For media types that are not text, `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if `inline_data` or `file_data` field is filled with raw bytes.
+                      "audioTranscription": { # The transcription of an audio part. For multi-speaker audio, each speaker segment is a separate `Part` with its own `AudioTranscription` carrying the `speaker_label`. # Optional. Audio (input or output) transcription. This is only set when this `Part` contains audio data.
+                        "speakerLabel": "A String", # Optional. A label identifying the speaker of this audio segment (e.g. `spk_1`, `spk_2`). Present when `diarization` is set.
+                        "text": "A String", # Required. The transcription text of this audio segment.
+                        "words": [ # Optional. Detailed word-level transcriptions and timing details. Present when `word_timestamp` is set.
+                          { # Information about a single recognized word.
+                            "endOffset": "A String", # Optional. End offset in time of the word relative to the start of the audio.
+                            "startOffset": "A String", # Optional. Start offset in time of the word relative to the start of the audio.
+                            "word": "A String", # Required. Transcript of the word.
+                          },
+                        ],
                       },
                       "codeExecutionResult": { # Result of executing the ExecutableCode. Generated only when the `CodeExecution` tool is used. # Optional. The result of executing the ExecutableCode.
                         "id": "A String", # Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.
@@ -8098,13 +9160,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -8987,13 +10049,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -10756,23 +11818,418 @@ 
Method Details

                       "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                     },
                   },
-                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+                "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+                "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+                  "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+                  "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                    "a_key": "", # Properties of the object.
+                  },
+                  "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                    "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                      "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                      "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                      "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                        "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                        "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                          "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                            "A String",
+                          ],
+                          "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                            "A String",
+                          ],
+                          "diarization": True or False, # Optional. Configures speaker diarization.
+                          "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                          },
+                          "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                            "A String",
+                          ],
+                          "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                            "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                              "A String",
+                            ],
+                          },
+                          "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                          "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                        },
+                        "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                        "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                        "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                        "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                          "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                          "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                            "compressionQuality": 42, # Optional. The compression quality of the output image.
+                            "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                          },
+                          "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                          "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                          "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                        },
+                        "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                        "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                        "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                        "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                          "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                        },
+                        "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                        "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                          { # Configuration for the model to configure output formatting and delivery.
+                            "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                              "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                              "delivery": "A String", # Optional. Delivery mode for the generated content.
+                              "mimeType": "A String", # Optional. The MIME type of the audio output.
+                              "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                            },
+                            "image": { # Configuration for image-specific output formatting. # Image output format.
+                              "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                              "delivery": "A String", # Optional. Delivery mode for the generated content.
+                              "imageSize": "A String", # Optional. The size of the image output.
+                              "mimeType": "A String", # Optional. The MIME type of the image output.
+                            },
+                            "text": { # Configuration for text-specific output formatting. # Text output format.
+                              "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                              "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                            },
+                            "video": { # Configuration for video-specific output formatting. # Video output format.
+                              "aspectRatio": "A String", # The aspect ratio for the video output.
+                              "delivery": "A String", # Optional. Delivery mode for the generated content.
+                              "duration": "A String", # Optional. The duration for the video output.
+                              "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                              "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                            },
+                          },
+                        ],
+                        "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                        "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                        "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                        "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                          "A String",
+                        ],
+                        "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                          "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                          "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                            # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                          ],
+                          "default": "", # Optional. Default value to use if the field is not specified.
+                          "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                            "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                          },
+                          "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                          "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                            "A String",
+                          ],
+                          "example": "", # Optional. Example of an instance of this schema.
+                          "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                          "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                          "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                          "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                          "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                          "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                          "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                          "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                          "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                          "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                          "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                          "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                          "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                            "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                          },
+                          "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                            "A String",
+                          ],
+                          "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                          "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                            "A String",
+                          ],
+                          "title": "A String", # Optional. Title for the schema.
+                          "type": "A String", # Optional. Data type of the schema field.
+                        },
+                        "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                          "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                            "modelRoutingPreference": "A String", # The model routing preference.
+                          },
+                          "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                            "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                          },
+                        },
+                        "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                        "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                          "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                          "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                            "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                              { # Configuration for a single speaker in a multi-speaker setup.
+                                "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                                "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                                  },
+                                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                                  },
+                                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                                },
+                              },
+                            ],
+                          },
+                          "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                        "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                          "A String",
+                        ],
+                        "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                        "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                          "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                          "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                          "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                        },
+                        "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                        "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                        "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                          "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                          "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                        },
+                      },
+                      "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                    },
+                  },
+                },
+                "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+                  "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+                    "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+                    "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+                  },
+                },
+                "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+                  "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+                    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                    "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                          "A String",
+                        ],
+                        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                          "A String",
+                        ],
+                        "diarization": True or False, # Optional. Configures speaker diarization.
+                        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                        },
+                        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                          "A String",
+                        ],
+                        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                            "A String",
+                          ],
+                        },
+                        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                      },
+                      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                      "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                      "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                      "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                        "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                        "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                          "compressionQuality": 42, # Optional. The compression quality of the output image.
+                          "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                        },
+                        "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                        "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                        "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                      },
+                      "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                      "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                      "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                      "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                        "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                      },
+                      "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                      "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                        { # Configuration for the model to configure output formatting and delivery.
+                          "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                            "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "mimeType": "A String", # Optional. The MIME type of the audio output.
+                            "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                          },
+                          "image": { # Configuration for image-specific output formatting. # Image output format.
+                            "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "imageSize": "A String", # Optional. The size of the image output.
+                            "mimeType": "A String", # Optional. The MIME type of the image output.
+                          },
+                          "text": { # Configuration for text-specific output formatting. # Text output format.
+                            "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                            "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                          },
+                          "video": { # Configuration for video-specific output formatting. # Video output format.
+                            "aspectRatio": "A String", # The aspect ratio for the video output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "duration": "A String", # Optional. The duration for the video output.
+                            "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                            "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                          },
+                        },
+                      ],
+                      "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                      "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                      "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                      "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                        "A String",
+                      ],
+                      "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                        "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                        "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                          # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        ],
+                        "default": "", # Optional. Default value to use if the field is not specified.
+                        "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                        "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                          "A String",
+                        ],
+                        "example": "", # Optional. Example of an instance of this schema.
+                        "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                        "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                        "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                        "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                        "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                        "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                        "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                        "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                        "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                        "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                        "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                        "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                        "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                          "A String",
+                        ],
+                        "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                        "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                          "A String",
+                        ],
+                        "title": "A String", # Optional. Title for the schema.
+                        "type": "A String", # Optional. Data type of the schema field.
+                      },
+                      "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                        "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                          "modelRoutingPreference": "A String", # The model routing preference.
+                        },
+                        "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                          "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                        },
+                      },
+                      "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                      "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                        "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                        "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                          "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                            { # Configuration for a single speaker in a multi-speaker setup.
+                              "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                              "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                                "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                  "voiceName": "A String", # The name of the prebuilt voice to use.
+                                },
+                                "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                  "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                  "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                                },
+                                "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                              },
+                            },
+                          ],
+                        },
+                        "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                      "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                        "A String",
+                      ],
+                      "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                      "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                        "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                        "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                        "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                      },
+                      "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                      "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                      "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                        "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                        "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                      },
+                    },
+                    "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                  },
+                  "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+                  "rubricContentType": "A String", # The type of rubric content to be generated.
+                  "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+                    "A String",
+                  ],
                 },
-                "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-                "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-                  "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-                  "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                    "a_key": "", # Properties of the object.
-                  },
+                "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+                "systemInstruction": "A String", # Optional. System instructions for the judge model.
+              },
+              "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
+                "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
+                  "a_key": "", # Properties of the object.
                 },
-                "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-                  "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-                    "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-                    "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-                  },
+                "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
+                  "description": "A String", # Optional. The description of the score explaining the directionality etc.
+                  "max": 3.14, # Required. The maximum value of the score range (inclusive).
+                  "min": 3.14, # Required. The minimum value of the score range (inclusive).
+                  "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
                 },
-                "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-                  "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+                "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
+              },
+              "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
+                "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
+                "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
+                "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
+                  "returnRawOutput": True or False, # Optional. Whether to return raw output.
+                },
+                "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
+                "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
+              },
+              "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
+                "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
+                  "returnRawOutput": True or False, # Optional. Whether to return raw output.
+                },
+                "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
+                "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
+              },
+              "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
+                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+                "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                  "a_key": "", # Properties of the object.
+                },
+                "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                  "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
                     "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
                     "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
                     "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -10947,47 +12404,6 @@ 
Method Details

                     },
                     "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
                   },
-                  "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-                  "rubricContentType": "A String", # The type of rubric content to be generated.
-                  "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-                    "A String",
-                  ],
-                },
-                "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-                "systemInstruction": "A String", # Optional. System instructions for the judge model.
-              },
-              "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
-                "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
-                  "a_key": "", # Properties of the object.
-                },
-                "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
-                  "description": "A String", # Optional. The description of the score explaining the directionality etc.
-                  "max": 3.14, # Required. The maximum value of the score range (inclusive).
-                  "min": 3.14, # Required. The minimum value of the score range (inclusive).
-                  "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
-                },
-                "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
-              },
-              "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
-                "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
-                "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
-                "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
-                  "returnRawOutput": True or False, # Optional. Whether to return raw output.
-                },
-                "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
-                "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
-              },
-              "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
-                "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
-                  "returnRawOutput": True or False, # Optional. Whether to return raw output.
-                },
-                "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
-                "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
-              },
-              "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
-                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-                "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                  "a_key": "", # Properties of the object.
                 },
               },
               "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
@@ -11253,13 +12669,13 @@ 
Method Details

                     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                       },
-                      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                           "A String",
                         ],
-                        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                        "environment": "A String", # Required. The environment being operated.
-                        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                        "environment": "A String", # Required. The target environment where the computer use tool operates.
+                        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                           "A String",
                         ],
                       },
@@ -12142,13 +13558,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -14162,45 +15578,222 @@ 
Method Details

                               "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
                               "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                             },
-                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+              "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+              "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+                "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+                  "a_key": "", # Properties of the object.
+                },
+                "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                  "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                    "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                          "A String",
+                        ],
+                        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                          "A String",
+                        ],
+                        "diarization": True or False, # Optional. Configures speaker diarization.
+                        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                        },
+                        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                          "A String",
+                        ],
+                        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                            "A String",
+                          ],
+                        },
+                        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                      },
+                      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                      "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                      "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                      "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                        "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                        "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                          "compressionQuality": 42, # Optional. The compression quality of the output image.
+                          "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                        },
+                        "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                        "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                        "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                      },
+                      "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                      "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                      "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                      "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                        "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                      },
+                      "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                      "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                        { # Configuration for the model to configure output formatting and delivery.
+                          "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                            "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "mimeType": "A String", # Optional. The MIME type of the audio output.
+                            "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                          },
+                          "image": { # Configuration for image-specific output formatting. # Image output format.
+                            "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "imageSize": "A String", # Optional. The size of the image output.
+                            "mimeType": "A String", # Optional. The MIME type of the image output.
+                          },
+                          "text": { # Configuration for text-specific output formatting. # Text output format.
+                            "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                            "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                          },
+                          "video": { # Configuration for video-specific output formatting. # Video output format.
+                            "aspectRatio": "A String", # The aspect ratio for the video output.
+                            "delivery": "A String", # Optional. Delivery mode for the generated content.
+                            "duration": "A String", # Optional. The duration for the video output.
+                            "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                            "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                          },
+                        },
+                      ],
+                      "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                      "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                      "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                      "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                        "A String",
+                      ],
+                      "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                        "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                        "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                          # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        ],
+                        "default": "", # Optional. Default value to use if the field is not specified.
+                        "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                        "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                          "A String",
+                        ],
+                        "example": "", # Optional. Example of an instance of this schema.
+                        "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                        "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                        "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                        "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                        "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                        "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                        "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                        "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                        "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                        "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                        "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                        "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                        "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                          "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                        },
+                        "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                          "A String",
+                        ],
+                        "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                        "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                          "A String",
+                        ],
+                        "title": "A String", # Optional. Title for the schema.
+                        "type": "A String", # Optional. Data type of the schema field.
+                      },
+                      "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                        "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                          "modelRoutingPreference": "A String", # The model routing preference.
+                        },
+                        "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                          "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                        },
+                      },
+                      "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                      "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                        "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                        "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                          "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                            { # Configuration for a single speaker in a multi-speaker setup.
+                              "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                              "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                                "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                  "voiceName": "A String", # The name of the prebuilt voice to use.
+                                },
+                                "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                  "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                  "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                                },
+                                "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                              },
+                            },
+                          ],
+                        },
+                        "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
                           },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                         },
+                      },
+                      "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                        "A String",
                       ],
-                    },
-                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
-                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
-                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                      "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                        "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                        "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                        "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
                       },
-                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
-                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
-                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                      "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                      "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                        "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                        "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
                       },
-                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
                     },
+                    "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
                   },
-                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
-                    "A String",
-                  ],
-                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
-                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
-                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
-                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
-                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
-                  },
-                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
-                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
-                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
-                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
-                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
-                  },
-                },
-                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-              },
-              "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-              "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-                "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-                "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-                  "a_key": "", # Properties of the object.
                 },
               },
               "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
@@ -14427,6 +16020,183 @@ 
Method Details

               "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
                 "a_key": "", # Properties of the object.
               },
+              "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+                "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                  "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                  "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                  "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                    "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                    "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                      "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                        "A String",
+                      ],
+                      "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                        "A String",
+                      ],
+                      "diarization": True or False, # Optional. Configures speaker diarization.
+                      "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                      },
+                      "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                        "A String",
+                      ],
+                      "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                        "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                          "A String",
+                        ],
+                      },
+                      "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                      "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                    },
+                    "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                    "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                    "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                    "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                      "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                      "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                        "compressionQuality": 42, # Optional. The compression quality of the output image.
+                        "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                      },
+                      "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                      "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                      "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                    },
+                    "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                    "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                    "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                    "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                      "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                    },
+                    "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                    "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                      { # Configuration for the model to configure output formatting and delivery.
+                        "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                          "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "mimeType": "A String", # Optional. The MIME type of the audio output.
+                          "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                        },
+                        "image": { # Configuration for image-specific output formatting. # Image output format.
+                          "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "imageSize": "A String", # Optional. The size of the image output.
+                          "mimeType": "A String", # Optional. The MIME type of the image output.
+                        },
+                        "text": { # Configuration for text-specific output formatting. # Text output format.
+                          "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                          "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                        },
+                        "video": { # Configuration for video-specific output formatting. # Video output format.
+                          "aspectRatio": "A String", # The aspect ratio for the video output.
+                          "delivery": "A String", # Optional. Delivery mode for the generated content.
+                          "duration": "A String", # Optional. The duration for the video output.
+                          "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                          "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                        },
+                      },
+                    ],
+                    "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                    "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                    "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                    "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                      "A String",
+                    ],
+                    "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                      "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                      "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                        # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      ],
+                      "default": "", # Optional. Default value to use if the field is not specified.
+                      "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                      "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                        "A String",
+                      ],
+                      "example": "", # Optional. Example of an instance of this schema.
+                      "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                      "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                      "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                      "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                      "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                      "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                      "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                      "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                      "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                      "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                      "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                      "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                      "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                        "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                      },
+                      "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                        "A String",
+                      ],
+                      "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                      "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                        "A String",
+                      ],
+                      "title": "A String", # Optional. Title for the schema.
+                      "type": "A String", # Optional. Data type of the schema field.
+                    },
+                    "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                      "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                        "modelRoutingPreference": "A String", # The model routing preference.
+                      },
+                      "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                        "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                      },
+                    },
+                    "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                    "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                      "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                      "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                        "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                          { # Configuration for a single speaker in a multi-speaker setup.
+                            "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                            "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                                "voiceName": "A String", # The name of the prebuilt voice to use.
+                              },
+                              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                              },
+                              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                            },
+                          },
+                        ],
+                      },
+                      "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                    "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                      "A String",
+                    ],
+                    "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                    "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                      "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                      "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                      "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                    },
+                    "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                    "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                    "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                      "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                      "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                    },
+                  },
+                  "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+                },
+              },
             },
             "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
               "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
@@ -14691,13 +16461,13 @@ 
Method Details

                   { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                     "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                     },
-                    "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                      "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                    "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                      "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                         "A String",
                       ],
-                      "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                      "environment": "A String", # Required. The environment being operated.
-                      "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                      "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                      "environment": "A String", # Required. The target environment where the computer use tool operates.
+                      "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                         "A String",
                       ],
                     },
@@ -15580,13 +17350,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -16628,13 +18398,13 @@ 
Method Details

       { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
         "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
         },
-        "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-          "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+        "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+          "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
             "A String",
           ],
-          "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-          "environment": "A String", # Required. The environment being operated.
-          "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+          "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+          "environment": "A String", # Required. The target environment where the computer use tool operates.
+          "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
             "A String",
           ],
         },
diff --git a/docs/dyn/aiplatform_v1beta1.projects.locations.voices.html b/docs/dyn/aiplatform_v1beta1.projects.locations.voices.html
index de0413a4ab..5dee9f4049 100644
--- a/docs/dyn/aiplatform_v1beta1.projects.locations.voices.html
+++ b/docs/dyn/aiplatform_v1beta1.projects.locations.voices.html
@@ -108,13 +108,13 @@ 
Method Details

     The object takes the form of:
 
 { # Request message for `VoicesService.CreateVoice`.
-  "store": True or False, # Optional. Whether the created voice is persisted and managed by Google. * When `true`, Google stores the voice and returns `Voice.id` (for example, `voice_abc123def456`), which can be managed via `GetVoice`, `ListVoices`, and `DeleteVoice` and referenced by ID in synthesis requests. Projects are subject to a maximum active stored voice quota; exceeding the quota returns `RESOURCE_EXHAUSTED`. * When `false` (default), the voice is not stored by Google and `Voice.key` (for example, `voicekey_...`) is returned for client-side storage and synthesis. Optional discovery metadata fields on `voice` are not persisted or returned when `store` is `false`. * Required to be `true` when `voice.type` is `"prompted"` (otherwise fails with `INVALID_ARGUMENT`).
+  "store": True or False, # Optional. Whether the created voice is persisted and managed by Google. * When `true`, Google stores the voice and returns `Voice.id` (for example, `voice_abc123def456`), which can be managed via `GetVoice`, `ListVoices`, and `DeleteVoice` and referenced by ID in synthesis requests. Stored voices expire after 1 year of inactivity; using a stored voice in speech synthesis or as a `base_voice` in `CreateVoice` extends its `expire_time`. Projects are subject to a maximum active stored voice quota; exceeding the quota returns `RESOURCE_EXHAUSTED`. * When `false` (default), the voice is not stored by Google and `Voice.key` (for example, `voicekey_...`) is returned for client-side storage and synthesis. Optional discovery metadata fields on `voice` are not persisted or returned when `store` is `false`. * Required to be `true` when `voice.type` is `"prompted"` (otherwise fails with `INVALID_ARGUMENT`).
   "voice": { # A voice resource representing either a custom voice (created via `CreateVoice`) or a prebuilt system voice (returned by `ListVoices`). # Required. The voice to create. `voice.model` is optional; if omitted, the service selects the default voice creation model. Output-only fields on `Voice` (`id`, `key`, `expire_time`, `usage`) are ignored if set.
     "accent": "A String", # Optional. Regional accent descriptor (e.g. "American", "British").
     "context": "A String", # Optional. Optimal usage context or domain (e.g. "Conversational", "Audiobook", "News").
     "description": "A String", # Optional. Descriptive summary of vocal timbre, personality, and tone.
     "displayName": "A String", # Optional. User-provided display name for a stored voice (`store = true`), or the catalog name for a prebuilt voice.
-    "expireTime": "A String", # Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. Unset for prebuilt catalog voices (`"prebuilt"`), which do not expire.
+    "expireTime": "A String", # Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. For custom stored voices (`store = true`), this expiration time is extended when the voice is used for speech synthesis or as a `base_voice` in `CreateVoice`. Unset for prebuilt catalog voices (`"prebuilt"`), which do not expire.
     "gender": "A String", # Optional. Perceived voice gender presentation (e.g. "female", "male", "neutral").
     "id": "A String", # Output only. The unique identifier of the voice. * For Google-managed custom voices (`store = true`), this is a generated ID with prefix `voice_` (for example, `voice_abc123def456`). Pass `voices/{id}` as the `name` in `GetVoice` and `DeleteVoice`, and pass `{id}` directly to `SpeechConfig.voice_config.voice` (or `SpeechConfig.voice`) during speech synthesis. * For prebuilt catalog voices (`"prebuilt"` returned by `ListVoices`), this is the speaker name (for example, `Puck` or `Charon`). * Unset when `CreateVoice` is called with `store = false`.
     "key": "A String", # Output only. The client-managed voice replication key (with prefix `voicekey_`). Returned only by `CreateVoice` when `type` is `"replicated"` and `store` is `false`. Pass this key to `SpeechConfig.voice_config.voice` (or `SpeechConfig.voice`) during speech synthesis.
@@ -195,7 +195,7 @@ 
Method Details

   "context": "A String", # Optional. Optimal usage context or domain (e.g. "Conversational", "Audiobook", "News").
   "description": "A String", # Optional. Descriptive summary of vocal timbre, personality, and tone.
   "displayName": "A String", # Optional. User-provided display name for a stored voice (`store = true`), or the catalog name for a prebuilt voice.
-  "expireTime": "A String", # Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. Unset for prebuilt catalog voices (`"prebuilt"`), which do not expire.
+  "expireTime": "A String", # Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. For custom stored voices (`store = true`), this expiration time is extended when the voice is used for speech synthesis or as a `base_voice` in `CreateVoice`. Unset for prebuilt catalog voices (`"prebuilt"`), which do not expire.
   "gender": "A String", # Optional. Perceived voice gender presentation (e.g. "female", "male", "neutral").
   "id": "A String", # Output only. The unique identifier of the voice. * For Google-managed custom voices (`store = true`), this is a generated ID with prefix `voice_` (for example, `voice_abc123def456`). Pass `voices/{id}` as the `name` in `GetVoice` and `DeleteVoice`, and pass `{id}` directly to `SpeechConfig.voice_config.voice` (or `SpeechConfig.voice`) during speech synthesis. * For prebuilt catalog voices (`"prebuilt"` returned by `ListVoices`), this is the speaker name (for example, `Puck` or `Charon`). * Unset when `CreateVoice` is called with `store = false`.
   "key": "A String", # Output only. The client-managed voice replication key (with prefix `voicekey_`). Returned only by `CreateVoice` when `type` is `"replicated"` and `store` is `false`. Pass this key to `SpeechConfig.voice_config.voice` (or `SpeechConfig.voice`) during speech synthesis.
@@ -300,7 +300,7 @@ 
Method Details

   "context": "A String", # Optional. Optimal usage context or domain (e.g. "Conversational", "Audiobook", "News").
   "description": "A String", # Optional. Descriptive summary of vocal timbre, personality, and tone.
   "displayName": "A String", # Optional. User-provided display name for a stored voice (`store = true`), or the catalog name for a prebuilt voice.
-  "expireTime": "A String", # Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. Unset for prebuilt catalog voices (`"prebuilt"`), which do not expire.
+  "expireTime": "A String", # Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. For custom stored voices (`store = true`), this expiration time is extended when the voice is used for speech synthesis or as a `base_voice` in `CreateVoice`. Unset for prebuilt catalog voices (`"prebuilt"`), which do not expire.
   "gender": "A String", # Optional. Perceived voice gender presentation (e.g. "female", "male", "neutral").
   "id": "A String", # Output only. The unique identifier of the voice. * For Google-managed custom voices (`store = true`), this is a generated ID with prefix `voice_` (for example, `voice_abc123def456`). Pass `voices/{id}` as the `name` in `GetVoice` and `DeleteVoice`, and pass `{id}` directly to `SpeechConfig.voice_config.voice` (or `SpeechConfig.voice`) during speech synthesis. * For prebuilt catalog voices (`"prebuilt"` returned by `ListVoices`), this is the speaker name (for example, `Puck` or `Charon`). * Unset when `CreateVoice` is called with `store = false`.
   "key": "A String", # Output only. The client-managed voice replication key (with prefix `voicekey_`). Returned only by `CreateVoice` when `type` is `"replicated"` and `store` is `false`. Pass this key to `SpeechConfig.voice_config.voice` (or `SpeechConfig.voice`) during speech synthesis.
@@ -401,7 +401,7 @@ 
Method Details

       "context": "A String", # Optional. Optimal usage context or domain (e.g. "Conversational", "Audiobook", "News").
       "description": "A String", # Optional. Descriptive summary of vocal timbre, personality, and tone.
       "displayName": "A String", # Optional. User-provided display name for a stored voice (`store = true`), or the catalog name for a prebuilt voice.
-      "expireTime": "A String", # Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. Unset for prebuilt catalog voices (`"prebuilt"`), which do not expire.
+      "expireTime": "A String", # Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. For custom stored voices (`store = true`), this expiration time is extended when the voice is used for speech synthesis or as a `base_voice` in `CreateVoice`. Unset for prebuilt catalog voices (`"prebuilt"`), which do not expire.
       "gender": "A String", # Optional. Perceived voice gender presentation (e.g. "female", "male", "neutral").
       "id": "A String", # Output only. The unique identifier of the voice. * For Google-managed custom voices (`store = true`), this is a generated ID with prefix `voice_` (for example, `voice_abc123def456`). Pass `voices/{id}` as the `name` in `GetVoice` and `DeleteVoice`, and pass `{id}` directly to `SpeechConfig.voice_config.voice` (or `SpeechConfig.voice`) during speech synthesis. * For prebuilt catalog voices (`"prebuilt"` returned by `ListVoices`), this is the speaker name (for example, `Puck` or `Charon`). * Unset when `CreateVoice` is called with `store = false`.
       "key": "A String", # Output only. The client-managed voice replication key (with prefix `voicekey_`). Returned only by `CreateVoice` when `type` is `"replicated"` and `store` is `false`. Pass this key to `SpeechConfig.voice_config.voice` (or `SpeechConfig.voice`) during speech synthesis.
diff --git a/docs/dyn/aiplatform_v1beta1.publishers.models.html b/docs/dyn/aiplatform_v1beta1.publishers.models.html
index 4dffefda03..4b46b80748 100644
--- a/docs/dyn/aiplatform_v1beta1.publishers.models.html
+++ b/docs/dyn/aiplatform_v1beta1.publishers.models.html
@@ -626,13 +626,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1333,13 +1333,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -3622,13 +3622,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
diff --git a/docs/dyn/aiplatform_v1beta1.v1beta1.html b/docs/dyn/aiplatform_v1beta1.v1beta1.html
index d8241afb26..280508c362 100644
--- a/docs/dyn/aiplatform_v1beta1.v1beta1.html
+++ b/docs/dyn/aiplatform_v1beta1.v1beta1.html
@@ -492,6 +492,183 @@ 
Method Details

           "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
             "a_key": "", # Properties of the object.
           },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
         },
         "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
           "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -717,87 +894,265 @@ 
Method Details

         "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
           "a_key": "", # Properties of the object.
         },
-      },
-      "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
-        "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
-        "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
-        "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
-      },
-    },
-  ],
-  "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
-    "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
-      "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
-    },
-  },
-}
-
-  x__xgafv: string, V1 error format.
-    Allowed values
-      1 - v1 error format
-      2 - v2 error format
-
-Returns:
-  An object of the form:
-
-    { # This resource represents a long-running operation that is the result of a network API call.
-  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
-  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
-    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
-    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
-      {
-        "a_key": "", # Properties of the object. Contains field @type with type URL.
-      },
-    ],
-    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
-  },
-  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
-    "a_key": "", # Properties of the object. Contains field @type with type URL.
-  },
-  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
-  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
-    "a_key": "", # Properties of the object. Contains field @type with type URL.
-  },
-}
-
- -
- evaluateInstances(body=None, x__xgafv=None) - 
Evaluates instances based on a given metric.
-
-Args:
-  body: object, The request body.
-    The object takes the form of:
-
-{ # Request message for EvaluationService.EvaluateInstances.
-  "autoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Autorater config used for evaluation. Not applicable for predefined metrics (PredefinedMetricSpec); the server uses its own model configuration for predefined metrics and this field is ignored.
-    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
-    "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
-    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
-      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
-      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
-        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
-          "A String",
-        ],
-        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
-          "A String",
-        ],
-        "diarization": True or False, # Optional. Configures speaker diarization.
-        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
-        },
-        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
-          "A String",
-        ],
-        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
-          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
-            "A String",
-          ],
-        },
-        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
-        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
-      },
-      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
-      "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+        "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+          "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+        },
+      },
+      "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
+        "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
+        "splitSummaries": True or False, # Optional. Whether to split summaries while using rougeLsum.
+        "useStemmer": True or False, # Optional. Whether to use stemmer to compute rouge score.
+      },
+    },
+  ],
+  "outputConfig": { # Config for evaluation output. # Required. Config for evaluation output.
+    "gcsDestination": { # The Google Cloud Storage location where the output is to be written to. # Cloud storage destination for evaluation output.
+      "outputUriPrefix": "A String", # Required. Google Cloud Storage URI to output directory. If the uri doesn't end with '/', a '/' will be automatically appended. The directory is created if it doesn't exist.
+    },
+  },
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ +
+ evaluateInstances(body=None, x__xgafv=None) + 
Evaluates instances based on a given metric.
+
+Args:
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for EvaluationService.EvaluateInstances.
+  "allowCrossRegionModel": True or False, # Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the request location is provided elsewhere in the request, this flag must be set to true or the request will fail.
+  "autoraterConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Optional. Autorater config used for evaluation. Not applicable for predefined metrics (PredefinedMetricSpec); the server uses its own model configuration for predefined metrics and this field is ignored.
+    "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+    "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+    "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+      "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+      "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+        "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+          "A String",
+        ],
+        "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+          "A String",
+        ],
+        "diarization": True or False, # Optional. Configures speaker diarization.
+        "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+        },
+        "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+          "A String",
+        ],
+        "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+          "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+            "A String",
+          ],
+        },
+        "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+        "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+      },
+      "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+      "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
       "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
       "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
         "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
@@ -1127,13 +1482,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -1482,13 +1837,13 @@ 
Method Details

               { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                 "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                 },
-                "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                  "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                  "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                     "A String",
                   ],
-                  "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                  "environment": "A String", # Required. The environment being operated.
-                  "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                  "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                  "environment": "A String", # Required. The target environment where the computer use tool operates.
+                  "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                     "A String",
                   ],
                 },
@@ -1928,13 +2283,13 @@ 
Method Details

           { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
             "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
             },
-            "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-              "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+            "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+              "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                 "A String",
               ],
-              "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-              "environment": "A String", # Required. The environment being operated.
-              "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+              "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+              "environment": "A String", # Required. The target environment where the computer use tool operates.
+              "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                 "A String",
               ],
             },
@@ -2176,13 +2531,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -2534,13 +2889,13 @@ 
Method Details

             { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
               "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
               },
-              "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+              "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                   "A String",
                 ],
-                "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                "environment": "A String", # Required. The environment being operated.
-                "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                "environment": "A String", # Required. The target environment where the computer use tool operates.
+                "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                   "A String",
                 ],
               },
@@ -2782,13 +3137,13 @@ 
Method Details

                 { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
                   "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
                   },
-                  "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-                    "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+                  "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+                    "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
                       "A String",
                     ],
-                    "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-                    "environment": "A String", # Required. The environment being operated.
-                    "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+                    "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+                    "environment": "A String", # Required. The target environment where the computer use tool operates.
+                    "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
                       "A String",
                     ],
                   },
@@ -3766,15 +4121,410 @@ 
Method Details

             "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
               "a_key": "", # Properties of the object.
             },
+            "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+              "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+                "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+                "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+                "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                  "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                  "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                    "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                      "A String",
+                    ],
+                    "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                      "A String",
+                    ],
+                    "diarization": True or False, # Optional. Configures speaker diarization.
+                    "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                    },
+                    "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                      "A String",
+                    ],
+                    "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                      "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                        "A String",
+                      ],
+                    },
+                    "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                    "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                  },
+                  "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                  "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                  "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                  "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                    "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                    "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                      "compressionQuality": 42, # Optional. The compression quality of the output image.
+                      "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                    },
+                    "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                    "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                    "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                  },
+                  "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                  "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                  "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                  "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                    "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                  },
+                  "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                  "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                    { # Configuration for the model to configure output formatting and delivery.
+                      "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                        "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "mimeType": "A String", # Optional. The MIME type of the audio output.
+                        "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                      },
+                      "image": { # Configuration for image-specific output formatting. # Image output format.
+                        "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "imageSize": "A String", # Optional. The size of the image output.
+                        "mimeType": "A String", # Optional. The MIME type of the image output.
+                      },
+                      "text": { # Configuration for text-specific output formatting. # Text output format.
+                        "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                        "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                      },
+                      "video": { # Configuration for video-specific output formatting. # Video output format.
+                        "aspectRatio": "A String", # The aspect ratio for the video output.
+                        "delivery": "A String", # Optional. Delivery mode for the generated content.
+                        "duration": "A String", # Optional. The duration for the video output.
+                        "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                        "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                      },
+                    },
+                  ],
+                  "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                  "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                  "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                  "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                    "A String",
+                  ],
+                  "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                    "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                    "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                      # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    ],
+                    "default": "", # Optional. Default value to use if the field is not specified.
+                    "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                    "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                      "A String",
+                    ],
+                    "example": "", # Optional. Example of an instance of this schema.
+                    "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                    "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                    "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                    "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                    "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                    "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                    "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                    "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                    "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                    "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                    "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                    "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                    "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                      "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                    },
+                    "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                      "A String",
+                    ],
+                    "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                    "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                      "A String",
+                    ],
+                    "title": "A String", # Optional. Title for the schema.
+                    "type": "A String", # Optional. Data type of the schema field.
+                  },
+                  "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                    "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                      "modelRoutingPreference": "A String", # The model routing preference.
+                    },
+                    "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                      "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                    },
+                  },
+                  "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                  "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                    "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                    "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                      "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                        { # Configuration for a single speaker in a multi-speaker setup.
+                          "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                          "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                            "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                              "voiceName": "A String", # The name of the prebuilt voice to use.
+                            },
+                            "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                              "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                              "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                            },
+                            "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                          },
+                        },
+                      ],
+                    },
+                    "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                      "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                        "voiceName": "A String", # The name of the prebuilt voice to use.
+                      },
+                      "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                        "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                        "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                      },
+                      "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                    },
+                  },
+                  "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                    "A String",
+                  ],
+                  "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                  "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                    "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                    "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                    "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                  },
+                  "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                  "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                  "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                    "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                    "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                  },
+                },
+                "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+              },
+            },
+          },
+          "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
+            "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
+              "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
+              "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
+            },
+          },
+          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
+            "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+            "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
+            "rubricContentType": "A String", # The type of rubric content to be generated.
+            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
+              "A String",
+            ],
           },
-          "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
-            "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
-              "codeExecutionRegion": "A String", # Optional. The region to use for code execution. If set, the Code Execution Sandbox will be invoked in the specified region regardless of the request's originating region. Must be a region where the Code Execution Sandbox is available. For the current list of [supported regions](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/locations). If unset, the request's originating region is used.
-              "parsingFunction": "A String", # Required. Python function for parsing results. The function should be defined within this string. The function takes a list of strings (LLM responses) and should return either a list of dictionaries (for rubrics) or a single dictionary (for a metric result). Example function signature: def parse(responses: list[str]) -> list[dict[str, Any]] | dict[str, Any]: When parsing rubrics, return a list of dictionaries, where each dictionary represents a Rubric. Example for rubrics: [ { "content": {"property": {"description": "The response is factual."}}, "type": "FACTUALITY", "importance": "HIGH" }, { "content": {"property": {"description": "The response is fluent."}}, "type": "FLUENCY", "importance": "MEDIUM" } ] When parsing critique results, return a dictionary representing a MetricResult. Example for a metric result: { "score": 0.8, "explanation": "The model followed most instructions.", "rubric_verdicts": [...] } ... code for result extraction and aggregation
-            },
+          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
+          "systemInstruction": "A String", # Optional. System instructions for the judge model.
+        },
+        "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
+          "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
+            "a_key": "", # Properties of the object.
           },
-          "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Dynamically generate rubrics using this specification.
-            "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
+          "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
+            "description": "A String", # Optional. The description of the score explaining the directionality etc.
+            "max": 3.14, # Required. The maximum value of the score range (inclusive).
+            "min": 3.14, # Required. The minimum value of the score range (inclusive).
+            "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
+          },
+          "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
+        },
+        "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
+          "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
+          "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
+          "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
+            "returnRawOutput": True or False, # Optional. Whether to return raw output.
+          },
+          "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
+          "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
+        },
+        "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
+          "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
+            "returnRawOutput": True or False, # Optional. Whether to return raw output.
+          },
+          "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
+          "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
+        },
+        "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
               "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
               "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
               "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
@@ -3949,47 +4699,6 @@ 
Method Details

               },
               "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
             },
-            "promptTemplate": "A String", # Template for the prompt used to generate rubrics. The details should be updated based on the most-recent recipe requirements.
-            "rubricContentType": "A String", # The type of rubric content to be generated.
-            "rubricTypeOntology": [ # Optional. An optional, pre-defined list of allowed types for generated rubrics. If this field is provided, it implies `include_rubric_type` should be true, and the generated rubric types should be chosen from this ontology.
-              "A String",
-            ],
-          },
-          "rubricGroupKey": "A String", # Use a pre-defined group of rubrics associated with the input. Refers to a key in the rubric_groups map of EvaluationInstance.
-          "systemInstruction": "A String", # Optional. System instructions for the judge model.
-        },
-        "metadata": { # Metadata about the metric, used for visualization and organization. # Optional. Metadata about the metric, used for visualization and organization.
-          "otherMetadata": { # Optional. Flexible metadata for user-defined attributes.
-            "a_key": "", # Properties of the object.
-          },
-          "scoreRange": { # The range of possible scores for this metric, used for plotting. # Optional. The range of possible scores for this metric, used for plotting.
-            "description": "A String", # Optional. The description of the score explaining the directionality etc.
-            "max": 3.14, # Required. The maximum value of the score range (inclusive).
-            "min": 3.14, # Required. The minimum value of the score range (inclusive).
-            "step": 3.14, # Optional. The distance between discrete steps in the range. If unset, the range is assumed to be continuous.
-          },
-          "title": "A String", # Optional. The user-friendly name for the metric. If not set for a registered metric, it will default to the metric's display name.
-        },
-        "pairwiseMetricSpec": { # Spec for pairwise metric. # Spec for pairwise metric.
-          "baselineResponseFieldName": "A String", # Optional. The field name of the baseline response.
-          "candidateResponseFieldName": "A String", # Optional. The field name of the candidate response.
-          "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. When this config is set, the default output is replaced with the raw output string. If a custom format is chosen, the `pairwise_choice` and `explanation` fields in the corresponding metric result will be empty.
-            "returnRawOutput": True or False, # Optional. Whether to return raw output.
-          },
-          "metricPromptTemplate": "A String", # Required. Metric prompt template for pairwise metric.
-          "systemInstruction": "A String", # Optional. System instructions for pairwise metric.
-        },
-        "pointwiseMetricSpec": { # Spec for pointwise metric. # Spec for pointwise metric.
-          "customOutputFormatConfig": { # Spec for custom output format configuration. # Optional. CustomOutputFormatConfig allows customization of metric output. By default, metrics return a score and explanation. When this config is set, the default output is replaced with either: - The raw output string. - A parsed output based on a user-defined schema. If a custom format is chosen, the `score` and `explanation` fields in the corresponding metric result will be empty.
-            "returnRawOutput": True or False, # Optional. Whether to return raw output.
-          },
-          "metricPromptTemplate": "A String", # Required. Metric prompt template for pointwise metric.
-          "systemInstruction": "A String", # Optional. System instructions for pointwise metric.
-        },
-        "predefinedMetricSpec": { # The spec for a pre-defined metric. # The spec for a pre-defined metric.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
           },
         },
         "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
@@ -4198,14 +4907,191 @@ 
Method Details

               "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
             },
           },
-          "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
-        },
-        "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
-        "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
-          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
-          "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
-            "a_key": "", # Properties of the object.
-          },
+          "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+        },
+        "metricPromptTemplate": "A String", # Required. Template for the prompt sent to the judge model.
+        "predefinedRubricGenerationSpec": { # The spec for a pre-defined metric. # Dynamically generate rubrics using a predefined spec.
+          "metricSpecName": "A String", # Required. The name of a pre-defined metric, such as "instruction_following_v1" or "text_quality_v1".
+          "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
+            "a_key": "", # Properties of the object.
+          },
+          "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+            "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+              "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+              "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+              "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+                "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+                "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                  "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                    "A String",
+                  ],
+                  "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                    "A String",
+                  ],
+                  "diarization": True or False, # Optional. Configures speaker diarization.
+                  "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                  },
+                  "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                    "A String",
+                  ],
+                  "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                    "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                      "A String",
+                    ],
+                  },
+                  "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                  "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+                },
+                "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+                "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+                "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+                "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                  "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                  "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                    "compressionQuality": 42, # Optional. The compression quality of the output image.
+                    "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                  },
+                  "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                  "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                  "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+                },
+                "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+                "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+                "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+                "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                  "featureSelectionPreference": "A String", # Required. Feature selection preference.
+                },
+                "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+                "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                  { # Configuration for the model to configure output formatting and delivery.
+                    "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                      "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "mimeType": "A String", # Optional. The MIME type of the audio output.
+                      "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                    },
+                    "image": { # Configuration for image-specific output formatting. # Image output format.
+                      "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "imageSize": "A String", # Optional. The size of the image output.
+                      "mimeType": "A String", # Optional. The MIME type of the image output.
+                    },
+                    "text": { # Configuration for text-specific output formatting. # Text output format.
+                      "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                      "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                    },
+                    "video": { # Configuration for video-specific output formatting. # Video output format.
+                      "aspectRatio": "A String", # The aspect ratio for the video output.
+                      "delivery": "A String", # Optional. Delivery mode for the generated content.
+                      "duration": "A String", # Optional. The duration for the video output.
+                      "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                      "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                    },
+                  },
+                ],
+                "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+                "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+                "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+                "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                  "A String",
+                ],
+                "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                  "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                  "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                    # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  ],
+                  "default": "", # Optional. Default value to use if the field is not specified.
+                  "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                  "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                    "A String",
+                  ],
+                  "example": "", # Optional. Example of an instance of this schema.
+                  "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                  "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                  "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                  "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                  "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                  "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                  "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                  "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                  "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                  "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                  "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                  "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                  "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                    "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                  },
+                  "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                    "A String",
+                  ],
+                  "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                  "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                    "A String",
+                  ],
+                  "title": "A String", # Optional. Title for the schema.
+                  "type": "A String", # Optional. Data type of the schema field.
+                },
+                "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                  "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                    "modelRoutingPreference": "A String", # The model routing preference.
+                  },
+                  "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                    "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                  },
+                },
+                "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+                "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                  "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                  "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                    "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                      { # Configuration for a single speaker in a multi-speaker setup.
+                        "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                        "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                          "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                            "voiceName": "A String", # The name of the prebuilt voice to use.
+                          },
+                          "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                            "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                            "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                          },
+                          "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                        },
+                      },
+                    ],
+                  },
+                  "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+                "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                  "A String",
+                ],
+                "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+                "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                  "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                  "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                  "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+                },
+                "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+                "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+                "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                  "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                  "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+                },
+              },
+              "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+            },
+          },
         },
         "resultParserConfig": { # Config for parsing LLM responses. It can be used to parse the LLM response to be evaluated, or the LLM response from LLM-based metrics/Autoraters. # Optional. The parser config for the metric result.
           "customCodeParserConfig": { # Configuration for parsing the LLM response using custom code. # Optional. Use custom code to parse the LLM response.
@@ -4431,6 +5317,183 @@ 
Method Details

         "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
           "a_key": "", # Properties of the object.
         },
+        "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+          "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+            "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+            "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+            "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+              "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+              "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+                "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+                  "A String",
+                ],
+                "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+                  "A String",
+                ],
+                "diarization": True or False, # Optional. Configures speaker diarization.
+                "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+                },
+                "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+                  "A String",
+                ],
+                "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+                  "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                    "A String",
+                  ],
+                },
+                "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+                "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+              },
+              "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+              "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+              "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+              "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+                "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+                "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+                  "compressionQuality": 42, # Optional. The compression quality of the output image.
+                  "mimeType": "A String", # Optional. The image format that the output should be saved as.
+                },
+                "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+                "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+                "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+              },
+              "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+              "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+              "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+              "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+                "featureSelectionPreference": "A String", # Required. Feature selection preference.
+              },
+              "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+              "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+                { # Configuration for the model to configure output formatting and delivery.
+                  "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                    "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "mimeType": "A String", # Optional. The MIME type of the audio output.
+                    "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+                  },
+                  "image": { # Configuration for image-specific output formatting. # Image output format.
+                    "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "imageSize": "A String", # Optional. The size of the image output.
+                    "mimeType": "A String", # Optional. The MIME type of the image output.
+                  },
+                  "text": { # Configuration for text-specific output formatting. # Text output format.
+                    "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                    "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+                  },
+                  "video": { # Configuration for video-specific output formatting. # Video output format.
+                    "aspectRatio": "A String", # The aspect ratio for the video output.
+                    "delivery": "A String", # Optional. Delivery mode for the generated content.
+                    "duration": "A String", # Optional. The duration for the video output.
+                    "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                    "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+                  },
+                },
+              ],
+              "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+              "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+              "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+              "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+                "A String",
+              ],
+              "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+                "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+                "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+                  # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                ],
+                "default": "", # Optional. Default value to use if the field is not specified.
+                "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+                "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+                  "A String",
+                ],
+                "example": "", # Optional. Example of an instance of this schema.
+                "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+                "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+                "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+                "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+                "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+                "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+                "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+                "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+                "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+                "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+                "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+                "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+                "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+                  "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+                },
+                "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+                  "A String",
+                ],
+                "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+                "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+                  "A String",
+                ],
+                "title": "A String", # Optional. Title for the schema.
+                "type": "A String", # Optional. Data type of the schema field.
+              },
+              "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+                "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+                  "modelRoutingPreference": "A String", # The model routing preference.
+                },
+                "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+                  "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+                },
+              },
+              "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+              "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+                "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+                "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+                  "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                    { # Configuration for a single speaker in a multi-speaker setup.
+                      "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                      "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                        "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                          "voiceName": "A String", # The name of the prebuilt voice to use.
+                        },
+                        "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                          "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                          "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                        },
+                        "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                      },
+                    },
+                  ],
+                },
+                "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+                  "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                    "voiceName": "A String", # The name of the prebuilt voice to use.
+                  },
+                  "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                    "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                    "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                  },
+                  "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                },
+              },
+              "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+                "A String",
+              ],
+              "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+              "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+                "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+                "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+                "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+              },
+              "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+              "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+              "translationConfig": { # Config for translation features. # Optional. Config for translation.
+                "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+                "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+              },
+            },
+            "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+          },
+        },
       },
       "rougeSpec": { # Spec for rouge score metric - calculates the recall of n-grams in prediction as compared to reference - returns a score ranging between 0 and 1. # Spec for rouge metric.
         "rougeType": "A String", # Optional. Supported rouge types are rougen[1-9], rougeL, and rougeLsum.
@@ -5362,13 +6425,13 @@ 
Method Details

         { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
           "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
           },
-          "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-            "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+          "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+            "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
               "A String",
             ],
-            "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-            "environment": "A String", # Required. The environment being operated.
-            "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+            "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+            "environment": "A String", # Required. The target environment where the computer use tool operates.
+            "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
               "A String",
             ],
           },
@@ -5706,6 +6769,183 @@ 
Method Details

     "metricSpecParameters": { # Optional. The parameters needed to run the pre-defined metric.
       "a_key": "", # Properties of the object.
     },
+    "stepAutoraterConfigs": { # Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: "intent_extraction", "rubric_generation", "rubric_validation". Unknown keys return INVALID_ARGUMENT.
+      "a_key": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset.
+        "autoraterModel": "A String", # Optional. The fully qualified name of the publisher model or tuned autorater endpoint to use. Publisher model format: `projects/{project}/locations/{location}/publishers/*/models/*` Tuned model endpoint format: `projects/{project}/locations/{location}/endpoints/{endpoint}`
+        "flipEnabled": True or False, # Optional. Default is true. Whether to flip the candidate and baseline responses. This is only applicable to the pairwise metric. If enabled, also provide PairwiseMetricSpec.candidate_response_field_name and PairwiseMetricSpec.baseline_response_field_name. When rendering PairwiseMetricSpec.metric_prompt_template, the candidate and baseline fields will be flipped for half of the samples to reduce bias.
+        "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Configuration options for model generation and outputs.
+          "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
+          "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
+            "adaptationPhrases": [ # Optional. Deprecated: Use `custom_vocabulary` instead. A list of phrases to bias the speech recognition model towards.
+              "A String",
+            ],
+            "customVocabulary": [ # Optional. A list of custom vocabulary phrases to bias the speech recognition model toward recognizing specific terms.
+              "A String",
+            ],
+            "diarization": True or False, # Optional. Configures speaker diarization.
+            "languageAuto": { # Deprecated: Use top-level `language_codes` instead. Indicates the language of the audio should be automatically detected. # Optional. Deprecated: Use top-level `language_codes` instead. The model will detect the language automatically.
+            },
+            "languageCodes": [ # Optional. BCP-47 language codes providing hints about the languages present in the audio. If omitted or empty, defaults to automatic language detection.
+              "A String",
+            ],
+            "languageHints": { # Deprecated: Use top-level `language_codes` instead. Provides hints to the model about possible languages present in the audio. # Optional. Deprecated: Use top-level `language_codes` instead. Specifies one or more languages in the audio.
+              "languageCodes": [ # Required. Deprecated: Use top-level `language_codes` instead. BCP-47 language codes. At least one must be specified.
+                "A String",
+              ],
+            },
+            "mode": "A String", # Optional. Configures transcription mode. Supported values: `VERBATIM`, `SMART`. If unspecified, defaults to `VERBATIM` transcription. In `SMART` mode, the model performs disfluency removal (eliminating filler words, repetitions, and false starts), light grammatical cleanup, automatic formatting (paragraphs, bullet points, numbered lists), and minor user edits (inline self-corrections). Timestamps and diarization are incompatible with mode `SMART`.
+            "wordTimestamp": True or False, # Optional. Configures word-level timestamp generation.
+          },
+          "candidateCount": 42, # Optional. The number of candidate responses to generate. A higher `candidate_count` can provide more options to choose from, but it also consumes more resources. This can be useful for generating a variety of responses and selecting the best one.
+          "enableAffectiveDialog": True or False, # Optional. If enabled, the model will detect emotions and adapt its responses accordingly. For example, if the model detects that the user is frustrated, it may provide a more empathetic response.
+          "frequencyPenalty": 3.14, # Optional. Penalizes tokens based on their frequency in the generated text. A positive value helps to reduce the repetition of words and phrases. Valid values can range from [-2.0, 2.0].
+          "imageConfig": { # Configuration for image generation. This message allows you to control various aspects of image generation, such as the output format, aspect ratio, and whether the model can generate images of people. # Optional. Config for image generation features. Deprecated: Use `response_format.image` instead.
+            "aspectRatio": "A String", # Optional. The desired aspect ratio for the generated images. The following aspect ratios are supported: "1:1" "2:3", "3:2" "3:4", "4:3" "4:5", "5:4" "9:16", "16:9" "21:9"
+            "imageOutputOptions": { # The image output format for generated images. # Optional. The image output format for generated images.
+              "compressionQuality": 42, # Optional. The compression quality of the output image.
+              "mimeType": "A String", # Optional. The image format that the output should be saved as.
+            },
+            "imageSize": "A String", # Optional. Specifies the size of generated images. Supported values are `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.
+            "personGeneration": "A String", # Optional. Controls whether the model can generate people.
+            "prominentPeople": "A String", # Optional. Controls whether prominent people (celebrities) generation is allowed. If used with personGeneration, personGeneration enum would take precedence. For instance, if ALLOW_NONE is set, all person generation would be blocked. If this field is unspecified, the default behavior is to allow prominent people.
+          },
+          "logprobs": 42, # Optional. The number of top log probabilities to return for each token. This can be used to see which other tokens were considered likely candidates for a given position. A higher value will return more options, but it will also increase the size of the response.
+          "maxOutputTokens": 42, # Optional. The maximum number of tokens to generate in the response. A token is approximately four characters. The default value varies by model. This parameter can be used to control the length of the generated text and prevent overly long responses.
+          "mediaResolution": "A String", # Optional. The token resolution at which input media content is sampled. This is used to control the trade-off between the quality of the response and the number of tokens used to represent the media. A higher resolution allows the model to perceive more detail, which can lead to a more nuanced response, but it will also use more tokens. This does not affect the image dimensions sent to the model.
+          "modelConfig": { # Config for model selection. # Optional. Config for model selection.
+            "featureSelectionPreference": "A String", # Required. Feature selection preference.
+          },
+          "presencePenalty": 3.14, # Optional. Penalizes tokens that have already appeared in the generated text. A positive value encourages the model to generate more diverse and less repetitive text. Valid values can range from [-2.0, 2.0].
+          "responseFormat": [ # Optional. New response format field for the model to configure output formatting and delivery.
+            { # Configuration for the model to configure output formatting and delivery.
+              "audio": { # Configuration for audio-specific output formatting. # Audio output format.
+                "bitRate": 42, # Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).
+                "delivery": "A String", # Optional. Delivery mode for the generated content.
+                "mimeType": "A String", # Optional. The MIME type of the audio output.
+                "sampleRate": 42, # Optional. Sample rate for the generated audio in Hertz.
+              },
+              "image": { # Configuration for image-specific output formatting. # Image output format.
+                "aspectRatio": "A String", # Optional. The aspect ratio for the image output.
+                "delivery": "A String", # Optional. Delivery mode for the generated content.
+                "imageSize": "A String", # Optional. The size of the image output.
+                "mimeType": "A String", # Optional. The MIME type of the image output.
+              },
+              "text": { # Configuration for text-specific output formatting. # Text output format.
+                "mimeType": "A String", # Optional. The IANA standard MIME type of the response.
+                "schema": "", # Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON.
+              },
+              "video": { # Configuration for video-specific output formatting. # Video output format.
+                "aspectRatio": "A String", # The aspect ratio for the video output.
+                "delivery": "A String", # Optional. Delivery mode for the generated content.
+                "duration": "A String", # Optional. The duration for the video output.
+                "gcsUri": "A String", # Optional. The Google Cloud Storage URI to store the video output. Required for Vertex if delivery is URI.
+                "resolution": "A String", # Optional. The video output resolution. Supported values: "360p", "720p", "1080p", "4k".
+              },
+            },
+          ],
+          "responseJsonSchema": "", # Optional. When this field is set, response_schema must be omitted and response_mime_type must be set to `application/json`. Deprecated: Use `response_format` instead.
+          "responseLogprobs": True or False, # Optional. If set to true, the log probabilities of the output tokens are returned. Log probabilities are the logarithm of the probability of a token appearing in the output. A higher log probability means the token is more likely to be generated. This can be useful for analyzing the model's confidence in its own output and for debugging.
+          "responseMimeType": "A String", # Optional. The IANA standard MIME type of the response. The model will generate output that conforms to this MIME type. Supported values include 'text/plain' (default) and 'application/json'. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. Deprecated: Use `response_format` instead.
+          "responseModalities": [ # Optional. The modalities of the response. The model will generate a response that includes all the specified modalities. For example, if this is set to `[TEXT, IMAGE]`, the response will include both text and an image.
+            "A String",
+          ],
+          "responseSchema": { # Defines the schema of input and output data. This is a subset of the [OpenAPI 3.0 Schema Object](https://spec.openapis.org/oas/v3.0.3#schema-object). # Optional. Lets you to specify a schema for the model's response, ensuring that the output conforms to a particular structure. This is useful for generating structured data such as JSON. The schema is a subset of the [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema) object. When this field is set, you must also set the `response_mime_type` to `application/json`. Deprecated: Use `response_format` instead.
+            "additionalProperties": "", # Optional. If `type` is `OBJECT`, specifies how to handle properties not defined in `properties`. If it is a boolean `false`, no additional properties are allowed. If it is a schema, additional properties are allowed if they conform to the schema.
+            "anyOf": [ # Optional. The instance must be valid against any (one or more) of the subschemas listed in `any_of`.
+              # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+            ],
+            "default": "", # Optional. Default value to use if the field is not specified.
+            "defs": { # Optional. `defs` provides a map of schema definitions that can be reused by `ref` elsewhere in the schema. Only allowed at root level of the schema.
+              "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+            },
+            "description": "A String", # Optional. Describes the data. The model uses this field to understand the purpose of the schema and how to use it. It is a best practice to provide a clear and descriptive explanation for the schema and its properties here, rather than in the prompt.
+            "enum": [ # Optional. Possible values of the field. This field can be used to restrict a value to a fixed set of values. To mark a field as an enum, set `format` to `enum` and provide the list of possible values in `enum`. For example: 1. To define directions: `{type:STRING, format:enum, enum:["EAST", "NORTH", "SOUTH", "WEST"]}` 2. To define apartment numbers: `{type:INTEGER, format:enum, enum:["101", "201", "301"]}`
+              "A String",
+            ],
+            "example": "", # Optional. Example of an instance of this schema.
+            "format": "A String", # Optional. The format of the data. For `NUMBER` type, format can be `float` or `double`. For `INTEGER` type, format can be `int32` or `int64`. For `STRING` type, format can be `email`, `byte`, `date`, `date-time`, `password`, and other formats to further refine the data type.
+            "items": # Object with schema name: GoogleCloudAiplatformV1beta1Schema # Optional. If type is `ARRAY`, `items` specifies the schema of elements in the array.
+            "maxItems": "A String", # Optional. If type is `ARRAY`, `max_items` specifies the maximum number of items in an array.
+            "maxLength": "A String", # Optional. If type is `STRING`, `max_length` specifies the maximum length of the string.
+            "maxProperties": "A String", # Optional. If type is `OBJECT`, `max_properties` specifies the maximum number of properties that can be provided.
+            "maximum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `maximum` specifies the maximum allowed value.
+            "minItems": "A String", # Optional. If type is `ARRAY`, `min_items` specifies the minimum number of items in an array.
+            "minLength": "A String", # Optional. If type is `STRING`, `min_length` specifies the minimum length of the string.
+            "minProperties": "A String", # Optional. If type is `OBJECT`, `min_properties` specifies the minimum number of properties that can be provided.
+            "minimum": 3.14, # Optional. If type is `INTEGER` or `NUMBER`, `minimum` specifies the minimum allowed value.
+            "nullable": True or False, # Optional. Indicates if the value of this field can be null.
+            "pattern": "A String", # Optional. If type is `STRING`, `pattern` specifies a regular expression that the string must match.
+            "properties": { # Optional. If type is `OBJECT`, `properties` is a map of property names to schema definitions for each property of the object.
+              "a_key": # Object with schema name: GoogleCloudAiplatformV1beta1Schema
+            },
+            "propertyOrdering": [ # Optional. Order of properties displayed or used where order matters. This is not a standard field in OpenAPI specification, but can be used to control the order of properties.
+              "A String",
+            ],
+            "ref": "A String", # Optional. Allows referencing another schema definition to use in place of this schema. The value must be a valid reference to a schema in `defs`. For example, the following schema defines a reference to a schema node named "Pet": type: object properties: pet: ref: #/defs/Pet defs: Pet: type: object properties: name: type: string The value of the "pet" property is a reference to the schema node named "Pet". See details in https://json-schema.org/understanding-json-schema/structuring
+            "required": [ # Optional. If type is `OBJECT`, `required` lists the names of properties that must be present.
+              "A String",
+            ],
+            "title": "A String", # Optional. Title for the schema.
+            "type": "A String", # Optional. Data type of the schema field.
+          },
+          "routingConfig": { # The configuration for routing the request to a specific model. This can be used to control which model is used for the generation, either automatically or by specifying a model name. # Optional. Routing configuration.
+            "autoMode": { # The configuration for automated routing. When automated routing is specified, the routing will be determined by the pretrained routing model and customer provided model routing preference. # In this mode, the model is selected automatically based on the content of the request.
+              "modelRoutingPreference": "A String", # The model routing preference.
+            },
+            "manualMode": { # The configuration for manual routing. When manual routing is specified, the model will be selected based on the model name provided. # In this mode, the model is specified manually.
+              "modelName": "A String", # The name of the model to use. Only public LLM models are accepted.
+            },
+          },
+          "seed": 42, # Optional. A seed for the random number generator. By setting a seed, you can make the model's output mostly deterministic. For a given prompt and parameters (like temperature, top_p, etc.), the model will produce the same response every time. However, it's not a guaranteed absolute deterministic behavior. This is different from parameters like `temperature`, which control the *level* of randomness. `seed` ensures that the "random" choices the model makes are the same on every run, making it essential for testing and ensuring reproducible results.
+          "speechConfig": { # Configuration for speech generation. # Optional. The speech generation config.
+            "languageCode": "A String", # Optional. The language code (ISO 639-1) for the speech synthesis.
+            "multiSpeakerVoiceConfig": { # Configuration for a multi-speaker text-to-speech request. # The configuration for a multi-speaker text-to-speech request. This field is mutually exclusive with `voice_config`.
+              "speakerVoiceConfigs": [ # Required. A list of configurations for the voices of the speakers. Exactly two speaker voice configurations must be provided.
+                { # Configuration for a single speaker in a multi-speaker setup.
+                  "speaker": "A String", # Required. The name of the speaker. This should be the same as the speaker name used in the prompt.
+                  "voiceConfig": { # Configuration for a voice. # Required. The configuration for the voice of this speaker.
+                    "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                      "voiceName": "A String", # The name of the prebuilt voice to use.
+                    },
+                    "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                      "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                      "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+                    },
+                    "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+                  },
+                },
+              ],
+            },
+            "voiceConfig": { # Configuration for a voice. # The configuration for the voice to use.
+              "prebuiltVoiceConfig": { # Configuration for a prebuilt voice. # The configuration for a prebuilt voice.
+                "voiceName": "A String", # The name of the prebuilt voice to use.
+              },
+              "replicatedVoiceConfig": { # The configuration for the replicated voice to use. # Optional. The configuration for a replicated voice. This enables users to replicate a voice from an audio sample.
+                "mimeType": "A String", # Optional. The mimetype of the voice sample. The only currently supported value is `audio/wav`. This represents 16-bit signed little-endian wav data, with a 24kHz sampling rate. `mime_type` will default to `audio/wav` if not set.
+                "voiceSampleAudio": "A String", # Optional. The sample of the custom voice.
+              },
+              "voice": "A String", # Optional. The speaker identifier for synthesis. Supported formats: * Speaker name for prebuilt voices (for example, `Orus` or `Kore`). * Voice ID for stored voices (for example, `voice_xxx`). * Voice replication key (for example, `voicekey_xxx`).
+            },
+          },
+          "stopSequences": [ # Optional. A list of character sequences that will stop the model from generating further tokens. If a stop sequence is generated, the output will end at that point. This is useful for controlling the length and structure of the output. For example, you can use ["\n", "###"] to stop generation at a new line or a specific marker.
+            "A String",
+          ],
+          "temperature": 3.14, # Optional. Controls the randomness of the output. A higher temperature results in more creative and diverse responses, while a lower temperature makes the output more predictable and focused. The valid range is (0.0, 2.0].
+          "thinkingConfig": { # Configuration for the model's thinking features. "Thinking" is a process where the model breaks down a complex task into smaller, manageable steps. This allows the model to reason about the task, plan its approach, and execute the plan to generate a high-quality response. # Optional. Configuration for thinking features. An error will be returned if this field is set for models that don't support thinking.
+            "includeThoughts": True or False, # Optional. If true, the model will include its thoughts in the response. "Thoughts" are the intermediate steps the model takes to arrive at the final response. They can provide insights into the model's reasoning process and help with debugging. If this is true, thoughts are returned only when available.
+            "thinkingBudget": 42, # Optional. The token budget for the model's thinking process. The model will make a best effort to stay within this budget. This can be used to control the trade-off between response quality and latency.
+            "thinkingLevel": "A String", # Optional. The number of thoughts tokens that the model should generate.
+          },
+          "topK": 3.14, # Optional. Specifies the top-k sampling threshold. The model considers only the top k most probable tokens for the next token. This can be useful for generating more coherent and less random text. For example, a `top_k` of 40 means the model will choose the next word from the 40 most likely words.
+          "topP": 3.14, # Optional. Specifies the nucleus sampling threshold. The model considers only the smallest set of tokens whose cumulative probability is at least `top_p`. This helps generate more diverse and less repetitive responses. For example, a `top_p` of 0.9 means the model considers tokens until the cumulative probability of the tokens to select from reaches 0.9. It's recommended to adjust either temperature or `top_p`, but not both.
+          "translationConfig": { # Config for translation features. # Optional. Config for translation.
+            "echoTargetLanguage": True or False, # Optional. If `true`, the model will generate audio when the target language is spoken, essentially it will parrot the input. If `false`, we will not produce audio for the target language.
+            "targetLanguageCode": "A String", # Required. The target language for translation. Supported values are BCP-47 language codes (e.g. "en", "es", "fr").
+          },
+        },
+        "samplingCount": 42, # Optional. Number of samples for each instance in the dataset. If not specified, the default is 4. Minimum value is 1, maximum value is 32.
+      },
+    },
   },
   "rubricGenerationSpec": { # Specification for how rubrics should be generated. # Optional. Specification for how the rubrics should be generated.
     "modelConfig": { # The configs for autorater. This is applicable to both EvaluateInstances and EvaluateDataset. # Configuration for the model used in rubric generation. Configs including sampling count and base model can be specified here. Flipping is not supported for rubric generation.
diff --git a/googleapiclient/discovery_cache/documents/aiplatform.v1.json b/googleapiclient/discovery_cache/documents/aiplatform.v1.json
index 94d92b840a..c1bf5c511e 100644
--- a/googleapiclient/discovery_cache/documents/aiplatform.v1.json
+++ b/googleapiclient/discovery_cache/documents/aiplatform.v1.json
@@ -74,6 +74,11 @@
 },
 {
 "description": "Locational Endpoint",
+"endpointUrl": "https://asia-southeast3-aiplatform.googleapis.com/",
+"location": "asia-southeast3"
+},
+{
+"description": "Locational Endpoint",
 "endpointUrl": "https://australia-southeast1-aiplatform.googleapis.com/",
 "location": "australia-southeast1"
 },
@@ -261,6 +266,11 @@
 "description": "Regional Endpoint",
 "endpointUrl": "https://aiplatform-preprod.us.rep.googleapis.com/",
 "location": "us"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://aiplatform-preprod.eu.rep.googleapis.com/",
+"location": "eu"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -36850,7 +36860,7 @@
 }
 }
 },
-"revision": "20260930",
+"revision": "20261007",
 "rootUrl": "https://aiplatform.googleapis.com/",
 "schemas": {
 "CloudAiLargeModelsVisionExperimentsResponse": {
@@ -36939,6 +36949,10 @@
 "$ref": "CloudAiLargeModelsVisionHumanPose",
 "description": "Human pose parameters for Pose Control"
 },
+"loraConfig": {
+"$ref": "CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfig",
+"description": "Optional. LoRA configuration for Omni editing/stylization models."
+},
 "modelEndpointOverride": {
 "description": "Optional. BNS override for model backend. Enabled only for local and autopush environments by the flag `lvm_allow_model_zoo_bns_override`.",
 "type": "string"
@@ -36988,6 +37002,10 @@
 "$ref": "CloudAiLargeModelsVisionGenerateVideoExperimentsSpatialAlignmentConfig",
 "description": "Optional. Spatial alignment configuration."
 },
+"superResConfig": {
+"$ref": "CloudAiLargeModelsVisionGenerateVideoExperimentsSuperResConfig",
+"description": "Config for the Pro Super Res upsampling task."
+},
 "truncateInputVideo": {
 "description": "If true (default), truncate input videos that exceed the model's maximum frame count by applying a frame_selection_config to __video_file__ inputs. Set to false to preserve the existing fail-fast behavior.",
 "type": "boolean"
@@ -37051,6 +37069,39 @@
 },
 "type": "object"
 },
+"CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfig": {
+"description": "Configuration for Multi-LoRA adaptation.",
+"id": "CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfig",
+"properties": {
+"adapters": {
+"description": "List of LoRA adapters to apply.",
+"items": {
+"$ref": "CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfigAdapter"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
+"CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfigAdapter": {
+"id": "CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfigAdapter",
+"properties": {
+"id": {
+"description": "The registered ID of the LoRA adapter (e.g. \"lora_xxx\").",
+"type": "string"
+},
+"resolvedPath": {
+"description": "Internal field populated after validation: resolved TFHub path.",
+"type": "string"
+},
+"weight": {
+"description": "The blending scale/weight of the LoRA adapter. Must be in the range (0.0, 1.0]. Default is 1.0.",
+"format": "float",
+"type": "number"
+}
+},
+"type": "object"
+},
 "CloudAiLargeModelsVisionGenerateVideoExperimentsOmniRewriterConfig": {
 "description": "Configuration for Omni Rewriter.",
 "id": "CloudAiLargeModelsVisionGenerateVideoExperimentsOmniRewriterConfig",
@@ -37150,6 +37201,29 @@
 },
 "type": "object"
 },
+"CloudAiLargeModelsVisionGenerateVideoExperimentsSuperResConfig": {
+"description": "Config for the Pro Super Res upsampling task.",
+"id": "CloudAiLargeModelsVisionGenerateVideoExperimentsSuperResConfig",
+"properties": {
+"mode": {
+"description": "Super Res mode. Required.",
+"enum": [
+"MODE_UNSPECIFIED",
+"MODE_4K",
+"MODE_8K",
+"MODE_4K_PRO"
+],
+"enumDescriptions": [
+"",
+"Single-pass 4K UDiT.",
+"Single-pass 8K UDiT.",
+"\"8K UDiT, downsampled 2x in the decoder."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "CloudAiLargeModelsVisionGenerateVideoExperimentsVESchedulingConfig": {
 "description": "Scheduling configuration for Veo Experimental.",
 "id": "CloudAiLargeModelsVisionGenerateVideoExperimentsVESchedulingConfig",
@@ -37913,6 +37987,10 @@
 "description": "Optional. The metadata for the agent.",
 "type": "object"
 },
+"modelConfig": {
+"$ref": "GoogleCloudAiplatformV1AgentModelConfig",
+"description": "Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own."
+},
 "name": {
 "description": "Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.",
 "type": "string"
@@ -38039,6 +38117,22 @@
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1AgentModelConfig": {
+"description": "Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change.",
+"id": "GoogleCloudAiplatformV1AgentModelConfig",
+"properties": {
+"model": {
+"description": "Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form \"publishers/{publisher}/models/{model}\", e.g. \"publishers/anthropic/models/claude-opus-4-8\" or \"publishers/google/models/gemini-3-flash\". Empty means the agent's default gemini model.",
+"type": "string"
+},
+"temperature": {
+"description": "Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.",
+"format": "float",
+"type": "number"
+}
+},
+"type": "object"
+},
 "GoogleCloudAiplatformV1AgentResponseCustomization": {
 "description": "Customizes the agent's response to the end user when a `SemanticGovernancePolicy` is evaluated (for example, with a custom message shown on denial).",
 "id": "GoogleCloudAiplatformV1AgentResponseCustomization",
@@ -44610,7 +44704,7 @@
 "type": "object"
 },
 "GoogleCloudAiplatformV1EvaluationRequest": {
-"description": "A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`.",
+"description": "A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`.",
 "id": "GoogleCloudAiplatformV1EvaluationRequest",
 "properties": {
 "candidateResponses": {
@@ -44824,6 +44918,10 @@
 "description": "The Evalution configuration used for the evaluation run.",
 "id": "GoogleCloudAiplatformV1EvaluationRunEvaluationConfig",
 "properties": {
+"allowCrossRegionModel": {
+"description": "Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.",
+"type": "boolean"
+},
 "autoraterConfig": {
 "$ref": "GoogleCloudAiplatformV1EvaluationRunEvaluationConfigAutoraterConfig",
 "description": "Optional. The autorater config for the evaluation run."
@@ -67763,7 +67861,7 @@ false
 "id": "GoogleCloudAiplatformV1SemanticGovernancePolicy",
 "properties": {
 "agent": {
-"description": "Required. The name of the agent in Agent Registry that is affected by this policy.",
+"description": "Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`",
 "type": "string"
 },
 "agentIdentity": {
@@ -67896,7 +67994,7 @@ false
 "type": "string"
 },
 "tools": {
-"description": "Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.",
+"description": "Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.",
 "items": {
 "type": "string"
 },
@@ -70433,11 +70531,11 @@ false
 "type": "object"
 },
 "GoogleCloudAiplatformV1ToolComputerUse": {
-"description": "Tool to support computer use.",
+"description": "A tool that enables the model to interact directly with a computer environment.",
 "id": "GoogleCloudAiplatformV1ToolComputerUse",
 "properties": {
 "disabledSafetyPolicies": {
-"description": "Optional. Disabled safety policies for computer use.",
+"description": "Optional. A list of safety policies to disable for the computer use tool.",
 "items": {
 "enum": [
 "SAFETY_POLICY_UNSPECIFIED",
@@ -70450,25 +70548,25 @@ false
 "LEGAL_TERMS_AND_AGREEMENTS"
 ],
 "enumDescriptions": [
-"Unspecified safety policy. This value should not be used.",
-"Financial transactions safety policy.",
-"Sensitive data modification safety policy.",
-"Communication tool safety policy.",
-"Account creation safety policy.",
-"Data modification safety policy.",
-"User consent management safety policy.",
-"Legal terms and agreements safety policy."
+"The safety policy is unspecified.",
+"Policy that restricts financial transactions.",
+"Policy that restricts modification of sensitive data.",
+"Policy that restricts the use of communication tools.",
+"Policy that restricts the creation of accounts.",
+"Policy that restricts general data modification.",
+"Policy that restricts user consent management.",
+"Policy that restricts interaction with legal terms and agreements."
 ],
 "type": "string"
 },
 "type": "array"
 },
 "enablePromptInjectionDetection": {
-"description": "Optional. Enables the prompt injection detection check on computer-use request.",
+"description": "Optional. Whether to enable the prompt injection detection check on the computer use request.",
 "type": "boolean"
 },
 "environment": {
-"description": "Required. The environment being operated.",
+"description": "Required. The target environment where the computer use tool operates.",
 "enum": [
 "ENVIRONMENT_UNSPECIFIED",
 "ENVIRONMENT_BROWSER",
@@ -70476,15 +70574,15 @@ false
 "ENVIRONMENT_DESKTOP"
 ],
 "enumDescriptions": [
-"Defaults to browser.",
-"Operates in a web browser.",
-"Operates in a mobile environment.",
-"Operates in a desktop environment."
+"The environment is unspecified.",
+"The tool operates in a web browser.",
+"The tool operates in a mobile environment.",
+"The tool operates in a desktop environment."
 ],
 "type": "string"
 },
 "excludedPredefinedFunctions": {
-"description": "Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.",
+"description": "Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.",
 "items": {
 "type": "string"
 },
diff --git a/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json b/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json
index a208dff18e..1f5f3a4a7d 100644
--- a/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/aiplatform.v1beta1.json
@@ -74,6 +74,11 @@
 },
 {
 "description": "Locational Endpoint",
+"endpointUrl": "https://asia-southeast3-aiplatform.googleapis.com/",
+"location": "asia-southeast3"
+},
+{
+"description": "Locational Endpoint",
 "endpointUrl": "https://australia-southeast1-aiplatform.googleapis.com/",
 "location": "australia-southeast1"
 },
@@ -261,6 +266,11 @@
 "description": "Regional Endpoint",
 "endpointUrl": "https://aiplatform-preprod.us.rep.googleapis.com/",
 "location": "us"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://aiplatform-preprod.eu.rep.googleapis.com/",
+"location": "eu"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -51266,7 +51276,7 @@
 }
 }
 },
-"revision": "20260930",
+"revision": "20261007",
 "rootUrl": "https://aiplatform.googleapis.com/",
 "schemas": {
 "CloudAiLargeModelsVisionExperimentsResponse": {
@@ -51355,6 +51365,10 @@
 "$ref": "CloudAiLargeModelsVisionHumanPose",
 "description": "Human pose parameters for Pose Control"
 },
+"loraConfig": {
+"$ref": "CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfig",
+"description": "Optional. LoRA configuration for Omni editing/stylization models."
+},
 "modelEndpointOverride": {
 "description": "Optional. BNS override for model backend. Enabled only for local and autopush environments by the flag `lvm_allow_model_zoo_bns_override`.",
 "type": "string"
@@ -51404,6 +51418,10 @@
 "$ref": "CloudAiLargeModelsVisionGenerateVideoExperimentsSpatialAlignmentConfig",
 "description": "Optional. Spatial alignment configuration."
 },
+"superResConfig": {
+"$ref": "CloudAiLargeModelsVisionGenerateVideoExperimentsSuperResConfig",
+"description": "Config for the Pro Super Res upsampling task."
+},
 "truncateInputVideo": {
 "description": "If true (default), truncate input videos that exceed the model's maximum frame count by applying a frame_selection_config to __video_file__ inputs. Set to false to preserve the existing fail-fast behavior.",
 "type": "boolean"
@@ -51467,6 +51485,39 @@
 },
 "type": "object"
 },
+"CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfig": {
+"description": "Configuration for Multi-LoRA adaptation.",
+"id": "CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfig",
+"properties": {
+"adapters": {
+"description": "List of LoRA adapters to apply.",
+"items": {
+"$ref": "CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfigAdapter"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
+"CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfigAdapter": {
+"id": "CloudAiLargeModelsVisionGenerateVideoExperimentsLoraConfigAdapter",
+"properties": {
+"id": {
+"description": "The registered ID of the LoRA adapter (e.g. \"lora_xxx\").",
+"type": "string"
+},
+"resolvedPath": {
+"description": "Internal field populated after validation: resolved TFHub path.",
+"type": "string"
+},
+"weight": {
+"description": "The blending scale/weight of the LoRA adapter. Must be in the range (0.0, 1.0]. Default is 1.0.",
+"format": "float",
+"type": "number"
+}
+},
+"type": "object"
+},
 "CloudAiLargeModelsVisionGenerateVideoExperimentsOmniRewriterConfig": {
 "description": "Configuration for Omni Rewriter.",
 "id": "CloudAiLargeModelsVisionGenerateVideoExperimentsOmniRewriterConfig",
@@ -51566,6 +51617,29 @@
 },
 "type": "object"
 },
+"CloudAiLargeModelsVisionGenerateVideoExperimentsSuperResConfig": {
+"description": "Config for the Pro Super Res upsampling task.",
+"id": "CloudAiLargeModelsVisionGenerateVideoExperimentsSuperResConfig",
+"properties": {
+"mode": {
+"description": "Super Res mode. Required.",
+"enum": [
+"MODE_UNSPECIFIED",
+"MODE_4K",
+"MODE_8K",
+"MODE_4K_PRO"
+],
+"enumDescriptions": [
+"",
+"Single-pass 4K UDiT.",
+"Single-pass 8K UDiT.",
+"\"8K UDiT, downsampled 2x in the decoder."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "CloudAiLargeModelsVisionGenerateVideoExperimentsVESchedulingConfig": {
 "description": "Scheduling configuration for Veo Experimental.",
 "id": "CloudAiLargeModelsVisionGenerateVideoExperimentsVESchedulingConfig",
@@ -53191,6 +53265,7 @@
 "description": "Speech and multi-speaker configuration."
 },
 "temperature": {
+"deprecated": true,
 "description": "Controls the randomness of the output.",
 "format": "float",
 "type": "number"
@@ -53250,6 +53325,7 @@
 "type": "string"
 },
 "topP": {
+"deprecated": true,
 "description": "The maximum cumulative probability of tokens to consider when sampling.",
 "format": "float",
 "type": "number"
@@ -55914,7 +55990,7 @@ false
 "type": "string"
 },
 "expireTime": {
-"description": "Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. Unset for prebuilt catalog voices (`\"prebuilt\"`), which do not expire.",
+"description": "Output only. The timestamp at which a custom stored voice (`store = true`) or replicated voice key (`store = false`) expires. For custom stored voices (`store = true`), this expiration time is extended when the voice is used for speech synthesis or as a `base_voice` in `CreateVoice`. Unset for prebuilt catalog voices (`\"prebuilt\"`), which do not expire.",
 "format": "google-datetime",
 "readOnly": true,
 "type": "string"
@@ -57121,6 +57197,10 @@ false
 "description": "Optional. The metadata for the agent.",
 "type": "object"
 },
+"modelConfig": {
+"$ref": "GoogleCloudAiplatformV1beta1AgentModelConfig",
+"description": "Optional. Model configuration for the agent. When set, tasks running under this agent default to this model configuration if they do not specify their own."
+},
 "name": {
 "description": "Identifier. The resource name of the agent. Format: `projects/{project}/locations/{location}/agents/{agent}`.",
 "type": "string"
@@ -57158,6 +57238,10 @@ false
 "description": "Represents an Agent Anomaly Detection Scope.",
 "id": "GoogleCloudAiplatformV1beta1AgentAnomalyDetectionScope",
 "properties": {
+"autoEnroll": {
+"description": "Optional. When true, agents created in Agent Engine that share log and observability buckets with this scope are automatically enrolled as MonitoredAgents. When false, agents must be enrolled explicitly via MonitoredAgent operations.",
+"type": "boolean"
+},
 "displayName": {
 "description": "Optional. User-provided display name of the AgentAnomalyDetectionScope.",
 "type": "string"
@@ -57297,6 +57381,22 @@ false
 },
 "type": "object"
 },
+"GoogleCloudAiplatformV1beta1AgentModelConfig": {
+"description": "Selects the model configuration for an agent. Starts with just the model id/alias; extensible with further model parameters without a breaking change.",
+"id": "GoogleCloudAiplatformV1beta1AgentModelConfig",
+"properties": {
+"model": {
+"description": "Optional. Publisher model resource name (an `aiplatform.googleapis.com/PublisherModel`) of the form \"publishers/{publisher}/models/{model}\", e.g. \"publishers/anthropic/models/claude-opus-4-8\" or \"publishers/google/models/gemini-3-flash\". Empty means the agent's default gemini model.",
+"type": "string"
+},
+"temperature": {
+"description": "Optional. Sampling temperature for the model's generation config (valid range (0.0, 2.0]); a value outside that range leaves the backend default standing.",
+"format": "float",
+"type": "number"
+}
+},
+"type": "object"
+},
 "GoogleCloudAiplatformV1beta1AgentResource": {
 "description": "Defines the identity of an agent being monitored.",
 "id": "GoogleCloudAiplatformV1beta1AgentResource",
@@ -64282,6 +64382,10 @@ false
 "description": "Request message for EvaluationService.EvaluateInstances.",
 "id": "GoogleCloudAiplatformV1beta1EvaluateInstancesRequest",
 "properties": {
+"allowCrossRegionModel": {
+"description": "Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the request location is provided elsewhere in the request, this flag must be set to true or the request will fail.",
+"type": "boolean"
+},
 "autoraterConfig": {
 "$ref": "GoogleCloudAiplatformV1beta1AutoraterConfig",
 "description": "Optional. Autorater config used for evaluation. Not applicable for predefined metrics (PredefinedMetricSpec); the server uses its own model configuration for predefined metrics and this field is ignored."
@@ -65240,7 +65344,7 @@ false
 "type": "object"
 },
 "GoogleCloudAiplatformV1beta1EvaluationRequest": {
-"description": "A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`.",
+"description": "A single evaluation request supporting input for both single-turn model generation and multi-turn agent execution traces. Valid input modes: 1. Inference Mode: `prompt` is set (containing text or AgentData context). 2. Offline Eval Mode: `prompt` is unset, and `candidate_responses` contains `agent_data` (the completed execution trace). Validation Rule: Either `prompt` must be set, OR at least one of the `candidate_responses` must contain `agent_data`. Metrics receive each candidate as an `EvaluationInstance`, whose fields are the names metrics can reference: `prompt` -> `prompt`, the candidate -> `response` (or `agent_eval_data` for `agent_data`), `golden_response` -> `reference`, `rubrics` -> `rubric_groups`, and `prompt.prompt_template_data.values` and `extra_context` -> `other_data`.",
 "id": "GoogleCloudAiplatformV1beta1EvaluationRequest",
 "properties": {
 "candidateResponses": {
@@ -65466,6 +65570,10 @@ false
 "description": "The Evalution configuration used for the evaluation run.",
 "id": "GoogleCloudAiplatformV1beta1EvaluationRunEvaluationConfig",
 "properties": {
+"allowCrossRegionModel": {
+"description": "Optional. Allows the evaluation run to use cross region models. When this flag is set, the service may route traffic to other regions if a model is unavailable in the current region (e.g., to a `global` endpoint). If a fully-qualified model endpoint resource name with a different region than the run location is provided elsewhere in the run config, this flag must be set to true or the request will fail.",
+"type": "boolean"
+},
 "autoraterConfig": {
 "$ref": "GoogleCloudAiplatformV1beta1EvaluationRunEvaluationConfigAutoraterConfig",
 "description": "Optional. The autorater config for the evaluation run."
@@ -65814,6 +65922,13 @@ false
 },
 "description": "Optional. The parameters needed to run the pre-defined metric.",
 "type": "object"
+},
+"stepAutoraterConfigs": {
+"additionalProperties": {
+"$ref": "GoogleCloudAiplatformV1beta1EvaluationRunEvaluationConfigAutoraterConfig"
+},
+"description": "Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names: \"intent_extraction\", \"rubric_generation\", \"rubric_validation\".",
+"type": "object"
 }
 },
 "type": "object"
@@ -82063,6 +82178,13 @@ false
 },
 "description": "Optional. The parameters needed to run the pre-defined metric.",
 "type": "object"
+},
+"stepAutoraterConfigs": {
+"additionalProperties": {
+"$ref": "GoogleCloudAiplatformV1beta1AutoraterConfig"
+},
+"description": "Optional. Per-step autorater overrides for this predefined metric. Keys are evaluation stage names (snake_case). Valid keys: \"intent_extraction\", \"rubric_generation\", \"rubric_validation\". Unknown keys return INVALID_ARGUMENT.",
+"type": "object"
 }
 },
 "type": "object"
@@ -93315,7 +93437,7 @@ false
 "id": "GoogleCloudAiplatformV1beta1SemanticGovernancePolicy",
 "properties": {
 "agent": {
-"description": "Required. The name of the agent in Agent Registry that is affected by this policy.",
+"description": "Required. The name of the agent in Agent Registry that is affected by this policy. Format: `projects/{project}/locations/{location}/agents/{agent}`",
 "type": "string"
 },
 "agentIdentity": {
@@ -93448,7 +93570,7 @@ false
 "type": "string"
 },
 "tools": {
-"description": "Optional. The resource names of the McpTools used by the Agent that is affected by this policy. If not specified, the policy applies to all McpTools in the McpServer.",
+"description": "Required. The resource names of the tools used by the Agent that is affected by this policy. Currently, exactly one tool must be specified.",
 "items": {
 "type": "string"
 },
@@ -96699,11 +96821,11 @@ false
 "type": "object"
 },
 "GoogleCloudAiplatformV1beta1ToolComputerUse": {
-"description": "Tool to support computer use.",
+"description": "A tool that enables the model to interact directly with a computer environment.",
 "id": "GoogleCloudAiplatformV1beta1ToolComputerUse",
 "properties": {
 "disabledSafetyPolicies": {
-"description": "Optional. Disabled safety policies for computer use.",
+"description": "Optional. A list of safety policies to disable for the computer use tool.",
 "items": {
 "enum": [
 "SAFETY_POLICY_UNSPECIFIED",
@@ -96716,25 +96838,25 @@ false
 "LEGAL_TERMS_AND_AGREEMENTS"
 ],
 "enumDescriptions": [
-"Unspecified safety policy. This value should not be used.",
-"Financial transactions safety policy.",
-"Sensitive data modification safety policy.",
-"Communication tool safety policy.",
-"Account creation safety policy.",
-"Data modification safety policy.",
-"User consent management safety policy.",
-"Legal terms and agreements safety policy."
+"The safety policy is unspecified.",
+"Policy that restricts financial transactions.",
+"Policy that restricts modification of sensitive data.",
+"Policy that restricts the use of communication tools.",
+"Policy that restricts the creation of accounts.",
+"Policy that restricts general data modification.",
+"Policy that restricts user consent management.",
+"Policy that restricts interaction with legal terms and agreements."
 ],
 "type": "string"
 },
 "type": "array"
 },
 "enablePromptInjectionDetection": {
-"description": "Optional. Enables the prompt injection detection check on computer-use request.",
+"description": "Optional. Whether to enable the prompt injection detection check on the computer use request.",
 "type": "boolean"
 },
 "environment": {
-"description": "Required. The environment being operated.",
+"description": "Required. The target environment where the computer use tool operates.",
 "enum": [
 "ENVIRONMENT_UNSPECIFIED",
 "ENVIRONMENT_BROWSER",
@@ -96742,15 +96864,15 @@ false
 "ENVIRONMENT_DESKTOP"
 ],
 "enumDescriptions": [
-"Defaults to browser.",
-"Operates in a web browser.",
-"Operates in a mobile environment.",
-"Operates in a desktop environment."
+"The environment is unspecified.",
+"The tool operates in a web browser.",
+"The tool operates in a mobile environment.",
+"The tool operates in a desktop environment."
 ],
 "type": "string"
 },
 "excludedPredefinedFunctions": {
-"description": "Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.",
+"description": "Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.",
 "items": {
 "type": "string"
 },
@@ -99723,7 +99845,7 @@ false
 "id": "GoogleLearningVertexApiInteractionsV1beta1CreateVoiceRequest",
 "properties": {
 "store": {
-"description": "Optional. Whether the created voice is persisted and managed by Google. * When `true`, Google stores the voice and returns `Voice.id` (for example, `voice_abc123def456`), which can be managed via `GetVoice`, `ListVoices`, and `DeleteVoice` and referenced by ID in synthesis requests. Projects are subject to a maximum active stored voice quota; exceeding the quota returns `RESOURCE_EXHAUSTED`. * When `false` (default), the voice is not stored by Google and `Voice.key` (for example, `voicekey_...`) is returned for client-side storage and synthesis. Optional discovery metadata fields on `voice` are not persisted or returned when `store` is `false`. * Required to be `true` when `voice.type` is `\"prompted\"` (otherwise fails with `INVALID_ARGUMENT`).",
+"description": "Optional. Whether the created voice is persisted and managed by Google. * When `true`, Google stores the voice and returns `Voice.id` (for example, `voice_abc123def456`), which can be managed via `GetVoice`, `ListVoices`, and `DeleteVoice` and referenced by ID in synthesis requests. Stored voices expire after 1 year of inactivity; using a stored voice in speech synthesis or as a `base_voice` in `CreateVoice` extends its `expire_time`. Projects are subject to a maximum active stored voice quota; exceeding the quota returns `RESOURCE_EXHAUSTED`. * When `false` (default), the voice is not stored by Google and `Voice.key` (for example, `voicekey_...`) is returned for client-side storage and synthesis. Optional discovery metadata fields on `voice` are not persisted or returned when `store` is `false`. * Required to be `true` when `voice.type` is `\"prompted\"` (otherwise fails with `INVALID_ARGUMENT`).",
 "type": "boolean"
 },
 "voice": {

From 9e5d2bb67b08af94e3cac9345a3aebb6389d0ab2 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:43 +0000
Subject: [PATCH 03/32] feat(alloydb): update the api

#### alloydb:v1

The following keys were added:
- schemas.AutoScalingConfig (Total Keys: 5)
- schemas.CpuUtilization (Total Keys: 4)
- schemas.Policy (Total Keys: 8)
- schemas.ReadPoolConfig.properties.autoScalingConfig.$ref (Total Keys: 1)
- schemas.Schedule (Total Keys: 10)

#### alloydb:v1alpha

The following keys were added:
- schemas.Backup.properties.edition.deprecated (Total Keys: 1)
- schemas.Backup.properties.expressConfig (Total Keys: 2)
- schemas.Cluster.properties.edition.deprecated (Total Keys: 1)

#### alloydb:v1beta

The following keys were added:
- schemas.Backup.properties.edition.deprecated (Total Keys: 1)
- schemas.Backup.properties.expressConfig (Total Keys: 2)
- schemas.Cluster.properties.edition.deprecated (Total Keys: 1)
---
 ...projects.locations.clusters.instances.html | 115 +++++++++++++++++-
 ...db_v1alpha.projects.locations.backups.html |  20 ++-
 ...b_v1alpha.projects.locations.clusters.html |  14 +--
 ...projects.locations.clusters.instances.html |  20 +--
 ...ydb_v1beta.projects.locations.backups.html |  20 ++-
 ...db_v1beta.projects.locations.clusters.html |  14 +--
 ...projects.locations.clusters.instances.html |  20 +--
 .../discovery_cache/documents/alloydb.v1.json | 100 ++++++++++++++-
 .../documents/alloydb.v1alpha.json            |  39 ++++--
 .../documents/alloydb.v1beta.json             |  39 ++++--
 10 files changed, 330 insertions(+), 71 deletions(-)

diff --git a/docs/dyn/alloydb_v1.projects.locations.clusters.instances.html b/docs/dyn/alloydb_v1.projects.locations.clusters.instances.html
index 41e0361bb3..863167e8bd 100644
--- a/docs/dyn/alloydb_v1.projects.locations.clusters.instances.html
+++ b/docs/dyn/alloydb_v1.projects.locations.clusters.instances.html
@@ -250,7 +250,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -265,6 +265,27 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+      "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
+        "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
+        "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
+          "utilizationTarget": 3.14, # Target CPU utilization as a float between 0 and 1.
+        },
+        "enabled": True or False, # If true, autoscaling is enabled for the instance. If not set, the default value is false.
+        "maxNodeCount": "A String", # Maximum number of nodes for the autoscaler.
+      },
+      "schedules": [ # Optional list of schedules for the MIG autoscaler. If not set, no schedules are created.
+        { # A schedule for the autoscaler.
+          "cronExpression": "A String", # Cron expression for the triggering the schedule. See https://cloud.google.com/compute/docs/autoscaler/scaling-schedules#cron_expressions for the syntax.
+          "description": "A String", # Description of the schedule.
+          "disabled": True or False, # If true, the schedule is disabled.
+          "durationSec": "A String", # Duration of the schedule.
+          "minNodeCount": "A String", # Minimum number of nodes in while the schedule is active.
+          "name": "A String", # Name of the schedule.
+          "timeZone": "A String", # The location-based IANA time zone for interpreting the schedule's start time. If no time zone is provided, UTC is used by default.
+        },
+      ],
+    },
     "nodeCount": 42, # Read capacity, i.e. number of nodes in a read pool instance.
   },
   "reconciling": True or False, # Output only. Reconciling (https://google.aip.dev/128#reconciliation). Set to true if the current state of Instance does not match the user's intended state, and the service is actively updating the resource to reconcile them. This can happen due to user-triggered updates or system actions like failover or maintenance.
@@ -447,7 +468,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -462,6 +483,27 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+      "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
+        "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
+        "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
+          "utilizationTarget": 3.14, # Target CPU utilization as a float between 0 and 1.
+        },
+        "enabled": True or False, # If true, autoscaling is enabled for the instance. If not set, the default value is false.
+        "maxNodeCount": "A String", # Maximum number of nodes for the autoscaler.
+      },
+      "schedules": [ # Optional list of schedules for the MIG autoscaler. If not set, no schedules are created.
+        { # A schedule for the autoscaler.
+          "cronExpression": "A String", # Cron expression for the triggering the schedule. See https://cloud.google.com/compute/docs/autoscaler/scaling-schedules#cron_expressions for the syntax.
+          "description": "A String", # Description of the schedule.
+          "disabled": True or False, # If true, the schedule is disabled.
+          "durationSec": "A String", # Duration of the schedule.
+          "minNodeCount": "A String", # Minimum number of nodes in while the schedule is active.
+          "name": "A String", # Name of the schedule.
+          "timeZone": "A String", # The location-based IANA time zone for interpreting the schedule's start time. If no time zone is provided, UTC is used by default.
+        },
+      ],
+    },
     "nodeCount": 42, # Read capacity, i.e. number of nodes in a read pool instance.
   },
   "reconciling": True or False, # Output only. Reconciling (https://google.aip.dev/128#reconciliation). Set to true if the current state of Instance does not match the user's intended state, and the service is actively updating the resource to reconcile them. This can happen due to user-triggered updates or system actions like failover or maintenance.
@@ -735,7 +777,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -750,6 +792,27 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+      "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
+        "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
+        "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
+          "utilizationTarget": 3.14, # Target CPU utilization as a float between 0 and 1.
+        },
+        "enabled": True or False, # If true, autoscaling is enabled for the instance. If not set, the default value is false.
+        "maxNodeCount": "A String", # Maximum number of nodes for the autoscaler.
+      },
+      "schedules": [ # Optional list of schedules for the MIG autoscaler. If not set, no schedules are created.
+        { # A schedule for the autoscaler.
+          "cronExpression": "A String", # Cron expression for the triggering the schedule. See https://cloud.google.com/compute/docs/autoscaler/scaling-schedules#cron_expressions for the syntax.
+          "description": "A String", # Description of the schedule.
+          "disabled": True or False, # If true, the schedule is disabled.
+          "durationSec": "A String", # Duration of the schedule.
+          "minNodeCount": "A String", # Minimum number of nodes in while the schedule is active.
+          "name": "A String", # Name of the schedule.
+          "timeZone": "A String", # The location-based IANA time zone for interpreting the schedule's start time. If no time zone is provided, UTC is used by default.
+        },
+      ],
+    },
     "nodeCount": 42, # Read capacity, i.e. number of nodes in a read pool instance.
   },
   "reconciling": True or False, # Output only. Reconciling (https://google.aip.dev/128#reconciliation). Set to true if the current state of Instance does not match the user's intended state, and the service is actively updating the resource to reconcile them. This can happen due to user-triggered updates or system actions like failover or maintenance.
@@ -979,7 +1042,7 @@ 
Method Details

         ],
         "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
       },
-      "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+      "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
       "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
         "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
         "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -994,6 +1057,27 @@ 
Method Details

         "recordClientAddress": True or False, # Output only. Whether to record client address.
       },
       "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
+        "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+          "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
+            "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
+            "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
+              "utilizationTarget": 3.14, # Target CPU utilization as a float between 0 and 1.
+            },
+            "enabled": True or False, # If true, autoscaling is enabled for the instance. If not set, the default value is false.
+            "maxNodeCount": "A String", # Maximum number of nodes for the autoscaler.
+          },
+          "schedules": [ # Optional list of schedules for the MIG autoscaler. If not set, no schedules are created.
+            { # A schedule for the autoscaler.
+              "cronExpression": "A String", # Cron expression for the triggering the schedule. See https://cloud.google.com/compute/docs/autoscaler/scaling-schedules#cron_expressions for the syntax.
+              "description": "A String", # Description of the schedule.
+              "disabled": True or False, # If true, the schedule is disabled.
+              "durationSec": "A String", # Duration of the schedule.
+              "minNodeCount": "A String", # Minimum number of nodes in while the schedule is active.
+              "name": "A String", # Name of the schedule.
+              "timeZone": "A String", # The location-based IANA time zone for interpreting the schedule's start time. If no time zone is provided, UTC is used by default.
+            },
+          ],
+        },
         "nodeCount": 42, # Read capacity, i.e. number of nodes in a read pool instance.
       },
       "reconciling": True or False, # Output only. Reconciling (https://google.aip.dev/128#reconciliation). Set to true if the current state of Instance does not match the user's intended state, and the service is actively updating the resource to reconcile them. This can happen due to user-triggered updates or system actions like failover or maintenance.
@@ -1165,7 +1249,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -1180,6 +1264,27 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+      "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
+        "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
+        "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
+          "utilizationTarget": 3.14, # Target CPU utilization as a float between 0 and 1.
+        },
+        "enabled": True or False, # If true, autoscaling is enabled for the instance. If not set, the default value is false.
+        "maxNodeCount": "A String", # Maximum number of nodes for the autoscaler.
+      },
+      "schedules": [ # Optional list of schedules for the MIG autoscaler. If not set, no schedules are created.
+        { # A schedule for the autoscaler.
+          "cronExpression": "A String", # Cron expression for the triggering the schedule. See https://cloud.google.com/compute/docs/autoscaler/scaling-schedules#cron_expressions for the syntax.
+          "description": "A String", # Description of the schedule.
+          "disabled": True or False, # If true, the schedule is disabled.
+          "durationSec": "A String", # Duration of the schedule.
+          "minNodeCount": "A String", # Minimum number of nodes in while the schedule is active.
+          "name": "A String", # Name of the schedule.
+          "timeZone": "A String", # The location-based IANA time zone for interpreting the schedule's start time. If no time zone is provided, UTC is used by default.
+        },
+      ],
+    },
     "nodeCount": 42, # Read capacity, i.e. number of nodes in a read pool instance.
   },
   "reconciling": True or False, # Output only. Reconciling (https://google.aip.dev/128#reconciliation). Set to true if the current state of Instance does not match the user's intended state, and the service is actively updating the resource to reconcile them. This can happen due to user-triggered updates or system actions like failover or maintenance.
diff --git a/docs/dyn/alloydb_v1alpha.projects.locations.backups.html b/docs/dyn/alloydb_v1alpha.projects.locations.backups.html
index e375ecff39..fccb5abf12 100644
--- a/docs/dyn/alloydb_v1alpha.projects.locations.backups.html
+++ b/docs/dyn/alloydb_v1alpha.projects.locations.backups.html
@@ -123,7 +123,7 @@ 
Method Details

   "deleteTime": "A String", # Output only. Delete time stamp
   "description": "A String", # User-provided description of the backup.
   "displayName": "A String", # User-settable and human-readable display name for the Backup.
-  "edition": "A String", # Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
+  "edition": "A String", # Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the backup with a customer-managed encryption key (CMEK). When this field is not specified, the backup will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -139,6 +139,9 @@ 
Method Details

     "totalRetentionCount": 42, # Output only. The length of the quantity-based queue, specified by the backup's retention policy.
   },
   "expiryTime": "A String", # Output only. The time at which after the backup is eligible to be garbage collected. It is the duration specified by the backup's retention policy, added to the backup's create_time.
+  "expressConfig": { # Configuration that allows the user to create an AlloyDB Express cluster. # Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.
+    "enabled": True or False, # Optional. Whether Express configuration is enabled for the cluster.
+  },
   "labels": { # Labels as key value pairs
     "a_key": "A String",
   },
@@ -258,7 +261,7 @@ 
Method Details

   "deleteTime": "A String", # Output only. Delete time stamp
   "description": "A String", # User-provided description of the backup.
   "displayName": "A String", # User-settable and human-readable display name for the Backup.
-  "edition": "A String", # Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
+  "edition": "A String", # Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the backup with a customer-managed encryption key (CMEK). When this field is not specified, the backup will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -274,6 +277,9 @@ 
Method Details

     "totalRetentionCount": 42, # Output only. The length of the quantity-based queue, specified by the backup's retention policy.
   },
   "expiryTime": "A String", # Output only. The time at which after the backup is eligible to be garbage collected. It is the duration specified by the backup's retention policy, added to the backup's create_time.
+  "expressConfig": { # Configuration that allows the user to create an AlloyDB Express cluster. # Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.
+    "enabled": True or False, # Optional. Whether Express configuration is enabled for the cluster.
+  },
   "labels": { # Labels as key value pairs
     "a_key": "A String",
   },
@@ -330,7 +336,7 @@ 
Method Details

       "deleteTime": "A String", # Output only. Delete time stamp
       "description": "A String", # User-provided description of the backup.
       "displayName": "A String", # User-settable and human-readable display name for the Backup.
-      "edition": "A String", # Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
+      "edition": "A String", # Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
       "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the backup with a customer-managed encryption key (CMEK). When this field is not specified, the backup will then use default encryption scheme to protect the user data.
         "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
       },
@@ -346,6 +352,9 @@ 
Method Details

         "totalRetentionCount": 42, # Output only. The length of the quantity-based queue, specified by the backup's retention policy.
       },
       "expiryTime": "A String", # Output only. The time at which after the backup is eligible to be garbage collected. It is the duration specified by the backup's retention policy, added to the backup's create_time.
+      "expressConfig": { # Configuration that allows the user to create an AlloyDB Express cluster. # Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.
+        "enabled": True or False, # Optional. Whether Express configuration is enabled for the cluster.
+      },
       "labels": { # Labels as key value pairs
         "a_key": "A String",
       },
@@ -406,7 +415,7 @@ 
Method Details

   "deleteTime": "A String", # Output only. Delete time stamp
   "description": "A String", # User-provided description of the backup.
   "displayName": "A String", # User-settable and human-readable display name for the Backup.
-  "edition": "A String", # Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
+  "edition": "A String", # Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the backup with a customer-managed encryption key (CMEK). When this field is not specified, the backup will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -422,6 +431,9 @@ 
Method Details

     "totalRetentionCount": 42, # Output only. The length of the quantity-based queue, specified by the backup's retention policy.
   },
   "expiryTime": "A String", # Output only. The time at which after the backup is eligible to be garbage collected. It is the duration specified by the backup's retention policy, added to the backup's create_time.
+  "expressConfig": { # Configuration that allows the user to create an AlloyDB Express cluster. # Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.
+    "enabled": True or False, # Optional. Whether Express configuration is enabled for the cluster.
+  },
   "labels": { # Labels as key value pairs
     "a_key": "A String",
   },
diff --git a/docs/dyn/alloydb_v1alpha.projects.locations.clusters.html b/docs/dyn/alloydb_v1alpha.projects.locations.clusters.html
index 349b628c6a..a1ae57f8d5 100644
--- a/docs/dyn/alloydb_v1alpha.projects.locations.clusters.html
+++ b/docs/dyn/alloydb_v1alpha.projects.locations.clusters.html
@@ -244,7 +244,7 @@ 
Method Details

   },
   "deleteTime": "A String", # Output only. Delete time stamp
   "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-  "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+  "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -492,7 +492,7 @@ 
Method Details

   },
   "deleteTime": "A String", # Output only. Delete time stamp
   "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-  "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+  "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -848,7 +848,7 @@ 
Method Details

   },
   "deleteTime": "A String", # Output only. Delete time stamp
   "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-  "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+  "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -1131,7 +1131,7 @@ 
Method Details

       },
       "deleteTime": "A String", # Output only. Delete time stamp
       "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-      "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+      "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
       "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
         "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
       },
@@ -1368,7 +1368,7 @@ 
Method Details

   },
   "deleteTime": "A String", # Output only. Delete time stamp
   "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-  "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+  "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -1674,7 +1674,7 @@ 
Method Details

     },
     "deleteTime": "A String", # Output only. Delete time stamp
     "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-    "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+    "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
     "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
       "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
     },
@@ -1933,7 +1933,7 @@ 
Method Details

     },
     "deleteTime": "A String", # Output only. Delete time stamp
     "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-    "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+    "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
     "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
       "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
     },
diff --git a/docs/dyn/alloydb_v1alpha.projects.locations.clusters.instances.html b/docs/dyn/alloydb_v1alpha.projects.locations.clusters.instances.html
index 53d9cbe62e..a610eaa881 100644
--- a/docs/dyn/alloydb_v1alpha.projects.locations.clusters.instances.html
+++ b/docs/dyn/alloydb_v1alpha.projects.locations.clusters.instances.html
@@ -262,7 +262,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -277,7 +277,7 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-    "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
       "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
         "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
         "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
@@ -496,7 +496,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -511,7 +511,7 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-    "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
       "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
         "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
         "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
@@ -821,7 +821,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -836,7 +836,7 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-    "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
       "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
         "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
         "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
@@ -1107,7 +1107,7 @@ 
Method Details

         ],
         "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
       },
-      "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+      "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
       "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
         "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
         "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -1122,7 +1122,7 @@ 
Method Details

         "recordClientAddress": True or False, # Output only. Whether to record client address.
       },
       "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-        "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+        "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
           "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
             "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
             "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
@@ -1330,7 +1330,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -1345,7 +1345,7 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-    "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
       "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
         "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
         "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
diff --git a/docs/dyn/alloydb_v1beta.projects.locations.backups.html b/docs/dyn/alloydb_v1beta.projects.locations.backups.html
index 39bb20731a..24d879a011 100644
--- a/docs/dyn/alloydb_v1beta.projects.locations.backups.html
+++ b/docs/dyn/alloydb_v1beta.projects.locations.backups.html
@@ -123,7 +123,7 @@ 
Method Details

   "deleteTime": "A String", # Output only. Delete time stamp
   "description": "A String", # User-provided description of the backup.
   "displayName": "A String", # User-settable and human-readable display name for the Backup.
-  "edition": "A String", # Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
+  "edition": "A String", # Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the backup with a customer-managed encryption key (CMEK). When this field is not specified, the backup will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -139,6 +139,9 @@ 
Method Details

     "totalRetentionCount": 42, # Output only. The length of the quantity-based queue, specified by the backup's retention policy.
   },
   "expiryTime": "A String", # Output only. The time at which after the backup is eligible to be garbage collected. It is the duration specified by the backup's retention policy, added to the backup's create_time.
+  "expressConfig": { # Configuration that allows the user to create an AlloyDB Express cluster. # Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.
+    "enabled": True or False, # Optional. Whether Express configuration is enabled for the cluster.
+  },
   "labels": { # Labels as key value pairs
     "a_key": "A String",
   },
@@ -257,7 +260,7 @@ 
Method Details

   "deleteTime": "A String", # Output only. Delete time stamp
   "description": "A String", # User-provided description of the backup.
   "displayName": "A String", # User-settable and human-readable display name for the Backup.
-  "edition": "A String", # Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
+  "edition": "A String", # Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the backup with a customer-managed encryption key (CMEK). When this field is not specified, the backup will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -273,6 +276,9 @@ 
Method Details

     "totalRetentionCount": 42, # Output only. The length of the quantity-based queue, specified by the backup's retention policy.
   },
   "expiryTime": "A String", # Output only. The time at which after the backup is eligible to be garbage collected. It is the duration specified by the backup's retention policy, added to the backup's create_time.
+  "expressConfig": { # Configuration that allows the user to create an AlloyDB Express cluster. # Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.
+    "enabled": True or False, # Optional. Whether Express configuration is enabled for the cluster.
+  },
   "labels": { # Labels as key value pairs
     "a_key": "A String",
   },
@@ -328,7 +334,7 @@ 
Method Details

       "deleteTime": "A String", # Output only. Delete time stamp
       "description": "A String", # User-provided description of the backup.
       "displayName": "A String", # User-settable and human-readable display name for the Backup.
-      "edition": "A String", # Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
+      "edition": "A String", # Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
       "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the backup with a customer-managed encryption key (CMEK). When this field is not specified, the backup will then use default encryption scheme to protect the user data.
         "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
       },
@@ -344,6 +350,9 @@ 
Method Details

         "totalRetentionCount": 42, # Output only. The length of the quantity-based queue, specified by the backup's retention policy.
       },
       "expiryTime": "A String", # Output only. The time at which after the backup is eligible to be garbage collected. It is the duration specified by the backup's retention policy, added to the backup's create_time.
+      "expressConfig": { # Configuration that allows the user to create an AlloyDB Express cluster. # Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.
+        "enabled": True or False, # Optional. Whether Express configuration is enabled for the cluster.
+      },
       "labels": { # Labels as key value pairs
         "a_key": "A String",
       },
@@ -403,7 +412,7 @@ 
Method Details

   "deleteTime": "A String", # Output only. Delete time stamp
   "description": "A String", # User-provided description of the backup.
   "displayName": "A String", # User-settable and human-readable display name for the Backup.
-  "edition": "A String", # Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
+  "edition": "A String", # Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the backup with a customer-managed encryption key (CMEK). When this field is not specified, the backup will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -419,6 +428,9 @@ 
Method Details

     "totalRetentionCount": 42, # Output only. The length of the quantity-based queue, specified by the backup's retention policy.
   },
   "expiryTime": "A String", # Output only. The time at which after the backup is eligible to be garbage collected. It is the duration specified by the backup's retention policy, added to the backup's create_time.
+  "expressConfig": { # Configuration that allows the user to create an AlloyDB Express cluster. # Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.
+    "enabled": True or False, # Optional. Whether Express configuration is enabled for the cluster.
+  },
   "labels": { # Labels as key value pairs
     "a_key": "A String",
   },
diff --git a/docs/dyn/alloydb_v1beta.projects.locations.clusters.html b/docs/dyn/alloydb_v1beta.projects.locations.clusters.html
index 28f11824db..f146fc0c48 100644
--- a/docs/dyn/alloydb_v1beta.projects.locations.clusters.html
+++ b/docs/dyn/alloydb_v1beta.projects.locations.clusters.html
@@ -244,7 +244,7 @@ 
Method Details

   },
   "deleteTime": "A String", # Output only. Delete time stamp
   "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-  "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+  "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -491,7 +491,7 @@ 
Method Details

   },
   "deleteTime": "A String", # Output only. Delete time stamp
   "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-  "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+  "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -846,7 +846,7 @@ 
Method Details

   },
   "deleteTime": "A String", # Output only. Delete time stamp
   "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-  "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+  "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -1128,7 +1128,7 @@ 
Method Details

       },
       "deleteTime": "A String", # Output only. Delete time stamp
       "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-      "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+      "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
       "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
         "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
       },
@@ -1364,7 +1364,7 @@ 
Method Details

   },
   "deleteTime": "A String", # Output only. Delete time stamp
   "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-  "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+  "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
   "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
     "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
   },
@@ -1669,7 +1669,7 @@ 
Method Details

     },
     "deleteTime": "A String", # Output only. Delete time stamp
     "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-    "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+    "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
     "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
       "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
     },
@@ -1927,7 +1927,7 @@ 
Method Details

     },
     "deleteTime": "A String", # Output only. Delete time stamp
     "displayName": "A String", # User-settable and human-readable display name for the Cluster.
-    "edition": "A String", # Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
+    "edition": "A String", # Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.
     "encryptionConfig": { # EncryptionConfig describes the encryption config of a cluster or a backup that is encrypted with a CMEK (customer-managed encryption key). # Optional. The encryption config can be specified to encrypt the data disks and other persistent data resources of a cluster with a customer-managed encryption key (CMEK). When this field is not specified, the cluster will then use default encryption scheme to protect the user data.
       "kmsKeyName": "A String", # The fully-qualified resource name of the KMS key. Each Cloud KMS key is regionalized and has the following format: projects/[PROJECT]/locations/[REGION]/keyRings/[RING]/cryptoKeys/[KEY_NAME]
     },
diff --git a/docs/dyn/alloydb_v1beta.projects.locations.clusters.instances.html b/docs/dyn/alloydb_v1beta.projects.locations.clusters.instances.html
index c5267b1768..51080b867a 100644
--- a/docs/dyn/alloydb_v1beta.projects.locations.clusters.instances.html
+++ b/docs/dyn/alloydb_v1beta.projects.locations.clusters.instances.html
@@ -262,7 +262,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -277,7 +277,7 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-    "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
       "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
         "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
         "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
@@ -495,7 +495,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -510,7 +510,7 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-    "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
       "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
         "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
         "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
@@ -819,7 +819,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -834,7 +834,7 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-    "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
       "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
         "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
         "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
@@ -1104,7 +1104,7 @@ 
Method Details

         ],
         "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
       },
-      "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+      "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
       "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
         "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
         "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -1119,7 +1119,7 @@ 
Method Details

         "recordClientAddress": True or False, # Output only. Whether to record client address.
       },
       "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-        "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+        "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
           "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
             "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
             "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
@@ -1326,7 +1326,7 @@ 
Method Details

     ],
     "serviceConnectionPolicy": "A String", # Output only. The PSC service connection policy name. The format is "projects//regions//serviceConnectionPolicies/"
   },
-  "publicIpAddress": "A String", # Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.
+  "publicIpAddress": "A String", # Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.
   "queryInsightsConfig": { # QueryInsights Instance specific configuration. # Configuration for query insights.
     "queryPlansPerMinute": 42, # Number of query execution plans captured by Insights per minute for all queries combined. The default value is 5. Any integer between 0 and 20 is considered valid.
     "queryStringLength": 42, # Query string length. The default value is 1024. Any integer between 256 and 4500 is considered valid.
@@ -1341,7 +1341,7 @@ 
Method Details

     "recordClientAddress": True or False, # Output only. Whether to record client address.
   },
   "readPoolConfig": { # Configuration for a read pool instance. # Read pool instance configuration. This is required if the value of instanceType is READ_POOL.
-    "autoScalingConfig": { # Configuration for autoscaling. # Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
+    "autoScalingConfig": { # Configuration for autoscaling. # Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled.
       "policy": { # Policy for the autoscaler. # Policy for the MIG autoscaler.
         "coolDownPeriodSec": "A String", # The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.
         "cpuUtilization": { # CPU utilization policy for the autoscaler. # CPU utilization policy for the autoscaler.
diff --git a/googleapiclient/discovery_cache/documents/alloydb.v1.json b/googleapiclient/discovery_cache/documents/alloydb.v1.json
index 93de2a767c..6fc6bc6369 100644
--- a/googleapiclient/discovery_cache/documents/alloydb.v1.json
+++ b/googleapiclient/discovery_cache/documents/alloydb.v1.json
@@ -1879,7 +1879,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261006",
 "rootUrl": "https://alloydb.googleapis.com/",
 "schemas": {
 "AuthorizedNetwork": {
@@ -1893,6 +1893,24 @@
 },
 "type": "object"
 },
+"AutoScalingConfig": {
+"description": "Configuration for autoscaling.",
+"id": "AutoScalingConfig",
+"properties": {
+"policy": {
+"$ref": "Policy",
+"description": "Policy for the MIG autoscaler."
+},
+"schedules": {
+"description": "Optional list of schedules for the MIG autoscaler. If not set, no schedules are created.",
+"items": {
+"$ref": "Schedule"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "AutomatedBackupPolicy": {
 "description": "Message describing the user-specified automated backup policy. All fields in the automated backup policy are optional. Defaults for each field are provided if they are not set.",
 "id": "AutomatedBackupPolicy",
@@ -2848,6 +2866,18 @@ false
 },
 "type": "object"
 },
+"CpuUtilization": {
+"description": "CPU utilization policy for the autoscaler.",
+"id": "CpuUtilization",
+"properties": {
+"utilizationTarget": {
+"description": "Target CPU utilization as a float between 0 and 1.",
+"format": "float",
+"type": "number"
+}
+},
+"type": "object"
+},
 "CsvExportOptions": {
 "description": "Options for exporting data in CSV format.",
 "id": "CsvExportOptions",
@@ -3411,7 +3441,7 @@ false
 "readOnly": true
 },
 "publicIpAddress": {
-"description": "Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.",
+"description": "Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.",
 "readOnly": true,
 "type": "string"
 },
@@ -4068,6 +4098,31 @@ false
 },
 "type": "object"
 },
+"Policy": {
+"description": "Policy for the autoscaler.",
+"id": "Policy",
+"properties": {
+"coolDownPeriodSec": {
+"description": "The period of time in seconds after a new node is created before the autoscaler will incorporate its resource usage (e.g. CPU utilization) into the autoscaling recommendation algorithm.",
+"format": "int64",
+"type": "string"
+},
+"cpuUtilization": {
+"$ref": "CpuUtilization",
+"description": "CPU utilization policy for the autoscaler."
+},
+"enabled": {
+"description": "If true, autoscaling is enabled for the instance. If not set, the default value is false.",
+"type": "boolean"
+},
+"maxNodeCount": {
+"description": "Maximum number of nodes for the autoscaler.",
+"format": "int64",
+"type": "string"
+}
+},
+"type": "object"
+},
 "PrimaryConfig": {
 "description": "Configuration for the primary cluster. It has the list of clusters that are replicating from this cluster. This should be set if and only if the cluster is of type PRIMARY.",
 "id": "PrimaryConfig",
@@ -4368,6 +4423,10 @@ false
 "description": "Configuration for a read pool instance.",
 "id": "ReadPoolConfig",
 "properties": {
+"autoScalingConfig": {
+"$ref": "AutoScalingConfig",
+"description": "Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled."
+},
 "nodeCount": {
 "description": "Read capacity, i.e. number of nodes in a read pool instance.",
 "format": "int32",
@@ -4466,6 +4525,43 @@ false
 },
 "type": "object"
 },
+"Schedule": {
+"description": "A schedule for the autoscaler.",
+"id": "Schedule",
+"properties": {
+"cronExpression": {
+"description": "Cron expression for the triggering the schedule. See https://cloud.google.com/compute/docs/autoscaler/scaling-schedules#cron_expressions for the syntax.",
+"type": "string"
+},
+"description": {
+"description": "Description of the schedule.",
+"type": "string"
+},
+"disabled": {
+"description": "If true, the schedule is disabled.",
+"type": "boolean"
+},
+"durationSec": {
+"description": "Duration of the schedule.",
+"format": "int64",
+"type": "string"
+},
+"minNodeCount": {
+"description": "Minimum number of nodes in while the schedule is active.",
+"format": "int64",
+"type": "string"
+},
+"name": {
+"description": "Name of the schedule.",
+"type": "string"
+},
+"timeZone": {
+"description": "The location-based IANA time zone for interpreting the schedule's start time. If no time zone is provided, UTC is used by default.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "SecondaryConfig": {
 "description": "Configuration information for the secondary cluster. This should be set if and only if the cluster is of type SECONDARY.",
 "id": "SecondaryConfig",
diff --git a/googleapiclient/discovery_cache/documents/alloydb.v1alpha.json b/googleapiclient/discovery_cache/documents/alloydb.v1alpha.json
index 8cf34e8dec..62ebdda49c 100644
--- a/googleapiclient/discovery_cache/documents/alloydb.v1alpha.json
+++ b/googleapiclient/discovery_cache/documents/alloydb.v1alpha.json
@@ -2086,7 +2086,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261006",
 "rootUrl": "https://alloydb.googleapis.com/",
 "schemas": {
 "AuthorizedNetwork": {
@@ -2248,16 +2248,22 @@ false
 "type": "string"
 },
 "edition": {
-"description": "Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.",
+"deprecated": true,
+"description": "Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.",
 "enum": [
 "EDITION_UNSPECIFIED",
 "EDITION_ALLOYDB",
 "EDITION_ALLOYDB_DEVELOPER"
 ],
+"enumDeprecated": [
+true,
+true,
+true
+],
 "enumDescriptions": [
-"An unknown Edition type.",
-"Standard AlloyDB cluster.",
-"Developer edition cluster."
+"Deprecated: Use `ExpressConfig` instead. An unknown Edition type.",
+"Deprecated: Use `ExpressConfig` instead. Standard AlloyDB cluster.",
+"Deprecated: Use `ExpressConfig` instead. Developer edition cluster."
 ],
 "readOnly": true,
 "type": "string"
@@ -2286,6 +2292,11 @@ false
 "readOnly": true,
 "type": "string"
 },
+"expressConfig": {
+"$ref": "ExpressConfig",
+"description": "Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.",
+"readOnly": true
+},
 "labels": {
 "additionalProperties": {
 "type": "string"
@@ -2670,16 +2681,22 @@ false
 "type": "string"
 },
 "edition": {
-"description": "Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.",
+"deprecated": true,
+"description": "Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.",
 "enum": [
 "EDITION_UNSPECIFIED",
 "EDITION_ALLOYDB",
 "EDITION_ALLOYDB_DEVELOPER"
 ],
+"enumDeprecated": [
+true,
+true,
+true
+],
 "enumDescriptions": [
-"An unknown Edition type.",
-"Standard AlloyDB cluster.",
-"Developer edition cluster."
+"Deprecated: Use `ExpressConfig` instead. An unknown Edition type.",
+"Deprecated: Use `ExpressConfig` instead. Standard AlloyDB cluster.",
+"Deprecated: Use `ExpressConfig` instead. Developer edition cluster."
 ],
 "type": "string"
 },
@@ -3903,7 +3920,7 @@ false
 "readOnly": true
 },
 "publicIpAddress": {
-"description": "Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.",
+"description": "Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.",
 "readOnly": true,
 "type": "string"
 },
@@ -4954,7 +4971,7 @@ false
 "properties": {
 "autoScalingConfig": {
 "$ref": "AutoScalingConfig",
-"description": "Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled."
+"description": "Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled."
 },
 "nodeCount": {
 "description": "Read capacity, i.e. number of nodes in a read pool instance.",
diff --git a/googleapiclient/discovery_cache/documents/alloydb.v1beta.json b/googleapiclient/discovery_cache/documents/alloydb.v1beta.json
index ae9ff4b117..93cfb3b004 100644
--- a/googleapiclient/discovery_cache/documents/alloydb.v1beta.json
+++ b/googleapiclient/discovery_cache/documents/alloydb.v1beta.json
@@ -2083,7 +2083,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261006",
 "rootUrl": "https://alloydb.googleapis.com/",
 "schemas": {
 "AuthorizedNetwork": {
@@ -2245,16 +2245,22 @@ false
 "type": "string"
 },
 "edition": {
-"description": "Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.",
+"deprecated": true,
+"description": "Output only. Deprecated: Use `express_config` instead. Output only. The edition of the cluster this backup was created from. Any restored cluster created from this backup will have the same edition.",
 "enum": [
 "EDITION_UNSPECIFIED",
 "EDITION_ALLOYDB",
 "EDITION_ALLOYDB_DEVELOPER"
 ],
+"enumDeprecated": [
+true,
+true,
+true
+],
 "enumDescriptions": [
-"An unknown Edition type.",
-"Standard AlloyDB cluster.",
-"Developer edition cluster."
+"Deprecated: Use `ExpressConfig` instead. An unknown Edition type.",
+"Deprecated: Use `ExpressConfig` instead. Standard AlloyDB cluster.",
+"Deprecated: Use `ExpressConfig` instead. Developer edition cluster."
 ],
 "readOnly": true,
 "type": "string"
@@ -2283,6 +2289,11 @@ false
 "readOnly": true,
 "type": "string"
 },
+"expressConfig": {
+"$ref": "ExpressConfig",
+"description": "Output only. The Express configuration of the cluster this backup was created from. Any restored cluster created from this backup will have the same Express configuration.",
+"readOnly": true
+},
 "labels": {
 "additionalProperties": {
 "type": "string"
@@ -2656,16 +2667,22 @@ false
 "type": "string"
 },
 "edition": {
-"description": "Optional. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.",
+"deprecated": true,
+"description": "Optional. Deprecated: Use `express_config` instead. Edition of the cluster. If left unspecified, the cluster behaves as `EDITION_ALLOYDB`.",
 "enum": [
 "EDITION_UNSPECIFIED",
 "EDITION_ALLOYDB",
 "EDITION_ALLOYDB_DEVELOPER"
 ],
+"enumDeprecated": [
+true,
+true,
+true
+],
 "enumDescriptions": [
-"An unknown Edition type.",
-"Standard AlloyDB cluster.",
-"Developer edition cluster."
+"Deprecated: Use `ExpressConfig` instead. An unknown Edition type.",
+"Deprecated: Use `ExpressConfig` instead. Standard AlloyDB cluster.",
+"Deprecated: Use `ExpressConfig` instead. Developer edition cluster."
 ],
 "type": "string"
 },
@@ -3884,7 +3901,7 @@ false
 "readOnly": true
 },
 "publicIpAddress": {
-"description": "Output only. The public IP addresses for the Instance. This is available ONLY when enable_public_ip is set. This is the connection endpoint for an end-user application.",
+"description": "Output only. The public IP address for the Instance. This is available ONLY when `enable_public_ip` is set or when you have upgraded from an Express Instance that has public DNS enabled. This field is not available for Express Instances. This is the connection endpoint for an end-user application.",
 "readOnly": true,
 "type": "string"
 },
@@ -4930,7 +4947,7 @@ false
 "properties": {
 "autoScalingConfig": {
 "$ref": "AutoScalingConfig",
-"description": "Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled."
+"description": "Optional. Autoscaling configuration for the read pool instance. If not set, the read pool instance will not be autoscaled."
 },
 "nodeCount": {
 "description": "Read capacity, i.e. number of nodes in a read pool instance.",

From 8a2d3f7d6a387c5d3c04b8226e9bf7d07f2b6892 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:43 +0000
Subject: [PATCH 04/32] feat(assuredworkloads): update the api

#### assuredworkloads:v1

The following keys were deleted:
- resources.assuredworkloads.methods.archiveResourceEvents (Total Keys: 8)
- resources.assuredworkloads.methods.revertArchivedResourceEvents (Total Keys: 8)
- schemas.GoogleCloudAssuredworkloadsV1ArchiveResourceEventsRequest (Total Keys: 13)
- schemas.GoogleCloudAssuredworkloadsV1ArchiveResourceEventsResponse (Total Keys: 4)
- schemas.GoogleCloudAssuredworkloadsV1RevertArchivedResourceEventsRequest (Total Keys: 13)
- schemas.GoogleCloudAssuredworkloadsV1RevertArchivedResourceEventsResponse (Total Keys: 4)

#### assuredworkloads:v1beta1

The following keys were deleted:
- resources.assuredworkloads.methods.archiveResourceEvents (Total Keys: 8)
- resources.assuredworkloads.methods.revertArchivedResourceEvents (Total Keys: 8)
- schemas.GoogleCloudAssuredworkloadsV1beta1ArchiveResourceEventsRequest (Total Keys: 13)
- schemas.GoogleCloudAssuredworkloadsV1beta1ArchiveResourceEventsResponse (Total Keys: 4)
- schemas.GoogleCloudAssuredworkloadsV1beta1RevertArchivedResourceEventsRequest (Total Keys: 13)
- schemas.GoogleCloudAssuredworkloadsV1beta1RevertArchivedResourceEventsResponse (Total Keys: 4)
---
 docs/dyn/assuredworkloads_v1.html             |   5 -
 docs/dyn/assuredworkloads_v1beta1.html        |   5 -
 .../documents/assuredworkloads.v1.json        | 138 +-----------------
 .../documents/assuredworkloads.v1beta1.json   | 138 +-----------------
 4 files changed, 2 insertions(+), 284 deletions(-)

diff --git a/docs/dyn/assuredworkloads_v1.html b/docs/dyn/assuredworkloads_v1.html
index 6fecf0415a..fea59404d9 100644
--- a/docs/dyn/assuredworkloads_v1.html
+++ b/docs/dyn/assuredworkloads_v1.html
@@ -74,11 +74,6 @@
 
 
Assured Workloads API

 
Instance Methods

-

-  assuredworkloads()
-

-
Returns the assuredworkloads Resource.

-
 

   folders()
 

diff --git a/docs/dyn/assuredworkloads_v1beta1.html b/docs/dyn/assuredworkloads_v1beta1.html
index 075e3b296d..ed031cf364 100644
--- a/docs/dyn/assuredworkloads_v1beta1.html
+++ b/docs/dyn/assuredworkloads_v1beta1.html
@@ -74,11 +74,6 @@
 
 
Assured Workloads API

 
Instance Methods

-

-  assuredworkloads()
-

-
Returns the assuredworkloads Resource.

-
 

   folders()
 

diff --git a/googleapiclient/discovery_cache/documents/assuredworkloads.v1.json b/googleapiclient/discovery_cache/documents/assuredworkloads.v1.json
index 280eb0f3b8..bca12f0b54 100644
--- a/googleapiclient/discovery_cache/documents/assuredworkloads.v1.json
+++ b/googleapiclient/discovery_cache/documents/assuredworkloads.v1.json
@@ -105,46 +105,6 @@
 },
 "protocol": "rest",
 "resources": {
-"assuredworkloads": {
-"methods": {
-"archiveResourceEvents": {
-"description": "Finds orphan ResourceEvents matching the criteria and moves them to the ArchivedResourceEvents table.",
-"flatPath": "v1/assuredworkloads:archiveResourceEvents",
-"httpMethod": "POST",
-"id": "assuredworkloads.assuredworkloads.archiveResourceEvents",
-"parameterOrder": [],
-"parameters": {},
-"path": "v1/assuredworkloads:archiveResourceEvents",
-"request": {
-"$ref": "GoogleCloudAssuredworkloadsV1ArchiveResourceEventsRequest"
-},
-"response": {
-"$ref": "GoogleCloudAssuredworkloadsV1ArchiveResourceEventsResponse"
-},
-"scopes": [
-"https://www.googleapis.com/auth/cloud-platform"
-]
-},
-"revertArchivedResourceEvents": {
-"description": "Finds matching ArchivedResourceEvents and moves them back to the ResourceEvents table.",
-"flatPath": "v1/assuredworkloads:revertArchivedResourceEvents",
-"httpMethod": "POST",
-"id": "assuredworkloads.assuredworkloads.revertArchivedResourceEvents",
-"parameterOrder": [],
-"parameters": {},
-"path": "v1/assuredworkloads:revertArchivedResourceEvents",
-"request": {
-"$ref": "GoogleCloudAssuredworkloadsV1RevertArchivedResourceEventsRequest"
-},
-"response": {
-"$ref": "GoogleCloudAssuredworkloadsV1RevertArchivedResourceEventsResponse"
-},
-"scopes": [
-"https://www.googleapis.com/auth/cloud-platform"
-]
-}
-}
-},
 "folders": {
 "resources": {
 "locations": {
@@ -1482,7 +1442,7 @@
 }
 }
 },
-"revision": "20260928",
+"revision": "20261006",
 "rootUrl": "https://assuredworkloads.googleapis.com/",
 "schemas": {
 "GoogleCloudAssuredworkloadsV1AcknowledgeViolationRequest": {
@@ -1642,54 +1602,6 @@
 },
 "type": "object"
 },
-"GoogleCloudAssuredworkloadsV1ArchiveResourceEventsRequest": {
-"description": "Request for archiving resource events.",
-"id": "GoogleCloudAssuredworkloadsV1ArchiveResourceEventsRequest",
-"properties": {
-"archiveTime": {
-"description": "Optional. Time to set as ArchiveTime in the archive table. If not provided, the current time is used.",
-"format": "google-datetime",
-"type": "string"
-},
-"batchSize": {
-"description": "Required. The number of events to process in a single transaction batch.",
-"format": "int32",
-"type": "integer"
-},
-"eventCutoffTime": {
-"description": "Required. Only events with EventTime earlier than this cutoff will be archived.",
-"format": "google-datetime",
-"type": "string"
-},
-"maxEventsMove": {
-"description": "Required. The maximum total number of events to move in this request.",
-"format": "int32",
-"type": "integer"
-},
-"organizationId": {
-"description": "Required. The organization ID for which to archive events.",
-"format": "int64",
-"type": "string"
-},
-"region": {
-"description": "Required. The region of the workload(s) whose events should be archived. This is used to filter workloads based on AssurantWorkloadData.region.",
-"type": "string"
-}
-},
-"type": "object"
-},
-"GoogleCloudAssuredworkloadsV1ArchiveResourceEventsResponse": {
-"description": "Response for archiving resource events.",
-"id": "GoogleCloudAssuredworkloadsV1ArchiveResourceEventsResponse",
-"properties": {
-"movedEventsCount": {
-"description": "The total number of events successfully moved to the archive table.",
-"format": "int32",
-"type": "integer"
-}
-},
-"type": "object"
-},
 "GoogleCloudAssuredworkloadsV1AssetMoveAnalysis": {
 "description": "Represents move analysis results for an asset.",
 "id": "GoogleCloudAssuredworkloadsV1AssetMoveAnalysis",
@@ -2847,54 +2759,6 @@ false
 "properties": {},
 "type": "object"
 },
-"GoogleCloudAssuredworkloadsV1RevertArchivedResourceEventsRequest": {
-"description": "Request for reverting archived resource events.",
-"id": "GoogleCloudAssuredworkloadsV1RevertArchivedResourceEventsRequest",
-"properties": {
-"archiveEndTime": {
-"description": "Required. Only events within this time range will be reverted. This helps prevent reverting everything when something goes wrong.",
-"format": "google-datetime",
-"type": "string"
-},
-"archiveStartTime": {
-"description": "Required. Only events within this time range will be reverted. This helps prevent reverting everything when something goes wrong.",
-"format": "google-datetime",
-"type": "string"
-},
-"batchSize": {
-"description": "Required. The number of events to process in a single transaction batch.",
-"format": "int32",
-"type": "integer"
-},
-"maxEventsMove": {
-"description": "Required. The maximum total number of events to move in this request.",
-"format": "int32",
-"type": "integer"
-},
-"organizationId": {
-"description": "Required. The organization ID for which to revert events.",
-"format": "int64",
-"type": "string"
-},
-"region": {
-"description": "Required. The region of the workload(s) whose events should be reverted. This is used to filter workloads based on AssurantWorkloadData.region.",
-"type": "string"
-}
-},
-"type": "object"
-},
-"GoogleCloudAssuredworkloadsV1RevertArchivedResourceEventsResponse": {
-"description": "Response for reverting archived resource events.",
-"id": "GoogleCloudAssuredworkloadsV1RevertArchivedResourceEventsResponse",
-"properties": {
-"movedEventsCount": {
-"description": "The total number of events successfully moved to the original table.",
-"format": "int32",
-"type": "integer"
-}
-},
-"type": "object"
-},
 "GoogleCloudAssuredworkloadsV1Rule": {
 "description": "A rule in the cloud control.",
 "id": "GoogleCloudAssuredworkloadsV1Rule",
diff --git a/googleapiclient/discovery_cache/documents/assuredworkloads.v1beta1.json b/googleapiclient/discovery_cache/documents/assuredworkloads.v1beta1.json
index f3c98c8119..334ddf2ae8 100644
--- a/googleapiclient/discovery_cache/documents/assuredworkloads.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/assuredworkloads.v1beta1.json
@@ -105,46 +105,6 @@
 },
 "protocol": "rest",
 "resources": {
-"assuredworkloads": {
-"methods": {
-"archiveResourceEvents": {
-"description": "Finds orphan ResourceEvents matching the criteria and moves them to the ArchivedResourceEvents table.",
-"flatPath": "v1beta1/assuredworkloads:archiveResourceEvents",
-"httpMethod": "POST",
-"id": "assuredworkloads.assuredworkloads.archiveResourceEvents",
-"parameterOrder": [],
-"parameters": {},
-"path": "v1beta1/assuredworkloads:archiveResourceEvents",
-"request": {
-"$ref": "GoogleCloudAssuredworkloadsV1beta1ArchiveResourceEventsRequest"
-},
-"response": {
-"$ref": "GoogleCloudAssuredworkloadsV1beta1ArchiveResourceEventsResponse"
-},
-"scopes": [
-"https://www.googleapis.com/auth/cloud-platform"
-]
-},
-"revertArchivedResourceEvents": {
-"description": "Finds matching ArchivedResourceEvents and moves them back to the ResourceEvents table.",
-"flatPath": "v1beta1/assuredworkloads:revertArchivedResourceEvents",
-"httpMethod": "POST",
-"id": "assuredworkloads.assuredworkloads.revertArchivedResourceEvents",
-"parameterOrder": [],
-"parameters": {},
-"path": "v1beta1/assuredworkloads:revertArchivedResourceEvents",
-"request": {
-"$ref": "GoogleCloudAssuredworkloadsV1beta1RevertArchivedResourceEventsRequest"
-},
-"response": {
-"$ref": "GoogleCloudAssuredworkloadsV1beta1RevertArchivedResourceEventsResponse"
-},
-"scopes": [
-"https://www.googleapis.com/auth/cloud-platform"
-]
-}
-}
-},
 "folders": {
 "resources": {
 "locations": {
@@ -1454,7 +1414,7 @@
 }
 }
 },
-"revision": "20260928",
+"revision": "20261006",
 "rootUrl": "https://assuredworkloads.googleapis.com/",
 "schemas": {
 "GoogleCloudAssuredworkloadsV1beta1AcknowledgeViolationRequest": {
@@ -1614,54 +1574,6 @@
 },
 "type": "object"
 },
-"GoogleCloudAssuredworkloadsV1beta1ArchiveResourceEventsRequest": {
-"description": "Request for archiving resource events.",
-"id": "GoogleCloudAssuredworkloadsV1beta1ArchiveResourceEventsRequest",
-"properties": {
-"archiveTime": {
-"description": "Optional. Time to set as ArchiveTime in the archive table. If not provided, the current time is used.",
-"format": "google-datetime",
-"type": "string"
-},
-"batchSize": {
-"description": "Required. The number of events to process in a single transaction batch.",
-"format": "int32",
-"type": "integer"
-},
-"eventCutoffTime": {
-"description": "Required. Only events with EventTime earlier than this cutoff will be archived.",
-"format": "google-datetime",
-"type": "string"
-},
-"maxEventsMove": {
-"description": "Required. The maximum total number of events to move in this request.",
-"format": "int32",
-"type": "integer"
-},
-"organizationId": {
-"description": "Required. The organization ID for which to archive events.",
-"format": "int64",
-"type": "string"
-},
-"region": {
-"description": "Required. The region of the workload(s) whose events should be archived. This is used to filter workloads based on AssurantWorkloadData.region.",
-"type": "string"
-}
-},
-"type": "object"
-},
-"GoogleCloudAssuredworkloadsV1beta1ArchiveResourceEventsResponse": {
-"description": "Response for archiving resource events.",
-"id": "GoogleCloudAssuredworkloadsV1beta1ArchiveResourceEventsResponse",
-"properties": {
-"movedEventsCount": {
-"description": "The total number of events successfully moved to the archive table.",
-"format": "int32",
-"type": "integer"
-}
-},
-"type": "object"
-},
 "GoogleCloudAssuredworkloadsV1beta1AssetMoveAnalysis": {
 "description": "Represents move analysis results for an asset.",
 "id": "GoogleCloudAssuredworkloadsV1beta1AssetMoveAnalysis",
@@ -2806,54 +2718,6 @@ false
 "properties": {},
 "type": "object"
 },
-"GoogleCloudAssuredworkloadsV1beta1RevertArchivedResourceEventsRequest": {
-"description": "Request for reverting archived resource events.",
-"id": "GoogleCloudAssuredworkloadsV1beta1RevertArchivedResourceEventsRequest",
-"properties": {
-"archiveEndTime": {
-"description": "Required. Only events within this time range will be reverted. This helps prevent reverting everything when something goes wrong.",
-"format": "google-datetime",
-"type": "string"
-},
-"archiveStartTime": {
-"description": "Required. Only events within this time range will be reverted. This helps prevent reverting everything when something goes wrong.",
-"format": "google-datetime",
-"type": "string"
-},
-"batchSize": {
-"description": "Required. The number of events to process in a single transaction batch.",
-"format": "int32",
-"type": "integer"
-},
-"maxEventsMove": {
-"description": "Required. The maximum total number of events to move in this request.",
-"format": "int32",
-"type": "integer"
-},
-"organizationId": {
-"description": "Required. The organization ID for which to revert events.",
-"format": "int64",
-"type": "string"
-},
-"region": {
-"description": "Required. The region of the workload(s) whose events should be reverted. This is used to filter workloads based on AssurantWorkloadData.region.",
-"type": "string"
-}
-},
-"type": "object"
-},
-"GoogleCloudAssuredworkloadsV1beta1RevertArchivedResourceEventsResponse": {
-"description": "Response for reverting archived resource events.",
-"id": "GoogleCloudAssuredworkloadsV1beta1RevertArchivedResourceEventsResponse",
-"properties": {
-"movedEventsCount": {
-"description": "The total number of events successfully moved to the original table.",
-"format": "int32",
-"type": "integer"
-}
-},
-"type": "object"
-},
 "GoogleCloudAssuredworkloadsV1beta1Rule": {
 "description": "A rule in the cloud control.",
 "id": "GoogleCloudAssuredworkloadsV1beta1Rule",

From e520c8be656e463144ab1f665c8e57d1849062ec Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:43 +0000
Subject: [PATCH 05/32] fix(auditmanager): update the api

#### auditmanager:v1

The following keys were changed:
- endpoints (Total Keys: 1)
---
 .../discovery_cache/documents/auditmanager.v1.json         | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/googleapiclient/discovery_cache/documents/auditmanager.v1.json b/googleapiclient/discovery_cache/documents/auditmanager.v1.json
index de92f6d270..15b6ece1d0 100644
--- a/googleapiclient/discovery_cache/documents/auditmanager.v1.json
+++ b/googleapiclient/discovery_cache/documents/auditmanager.v1.json
@@ -33,6 +33,11 @@
 "description": "Regional Endpoint",
 "endpointUrl": "https://auditmanager.asia-south1.rep.googleapis.com/",
 "location": "asia-south1"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://auditmanager.me-central2.rep.googleapis.com/",
+"location": "me-central2"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -1885,7 +1890,7 @@
 }
 }
 },
-"revision": "20260908",
+"revision": "20261007",
 "rootUrl": "https://auditmanager.googleapis.com/",
 "schemas": {
 "AuditReport": {

From 0e58f75a4d3dee77ed9ffe698a4b41e6a686b274 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:43 +0000
Subject: [PATCH 06/32] feat(biglake): update the api

#### biglake:v1

The following keys were added:
- resources.projects.resources.catalogs.resources.namespaces.resources.views.methods.getIamPolicy (Total Keys: 14)
- resources.projects.resources.catalogs.resources.namespaces.resources.views.methods.setIamPolicy (Total Keys: 12)
- resources.projects.resources.catalogs.resources.namespaces.resources.views.methods.testIamPermissions (Total Keys: 12)

The following keys were changed:
- endpoints (Total Keys: 1)
---
 ...glake_v1.projects.catalogs.namespaces.html |   5 +
 ...v1.projects.catalogs.namespaces.views.html | 258 ++++++++++++++++++
 .../discovery_cache/documents/biglake.v1.json | 101 ++++++-
 3 files changed, 358 insertions(+), 6 deletions(-)
 create mode 100644 docs/dyn/biglake_v1.projects.catalogs.namespaces.views.html

diff --git a/docs/dyn/biglake_v1.projects.catalogs.namespaces.html b/docs/dyn/biglake_v1.projects.catalogs.namespaces.html
index c953d57710..b88bb9de04 100644
--- a/docs/dyn/biglake_v1.projects.catalogs.namespaces.html
+++ b/docs/dyn/biglake_v1.projects.catalogs.namespaces.html
@@ -79,6 +79,11 @@ 
Instance Methods

 

 
Returns the tables Resource.

 
+

+  views()
+

+
Returns the views Resource.

+
 

   close()

 
Close httplib2 connections.

diff --git a/docs/dyn/biglake_v1.projects.catalogs.namespaces.views.html b/docs/dyn/biglake_v1.projects.catalogs.namespaces.views.html
new file mode 100644
index 0000000000..74adaa9dac
--- /dev/null
+++ b/docs/dyn/biglake_v1.projects.catalogs.namespaces.views.html
@@ -0,0 +1,258 @@
+
+
+
+
Lakehouse API . projects . catalogs . namespaces . views

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None)

+
Gets the IAM policy for the specified View.

+

+  setIamPolicy(resource, body=None, x__xgafv=None)

+
Sets the IAM policy for the specified view.

+

+  testIamPermissions(resource, body=None, x__xgafv=None)

+
Tests the IAM permissions for the specified view.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    getIamPolicy(resource, options_requestedPolicyVersion=None, x__xgafv=None)
+  
Gets the IAM policy for the specified View.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  options_requestedPolicyVersion: integer, Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
+  "auditConfigs": [ # Specifies cloud audit logging configuration for this policy.
+    { # Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { "audit_configs": [ { "service": "allServices", "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" }, { "log_type": "ADMIN_READ" } ] }, { "service": "sampleservice.googleapis.com", "audit_log_configs": [ { "log_type": "DATA_READ" }, { "log_type": "DATA_WRITE", "exempted_members": [ "user:aliya@example.com" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts `jose@example.com` from DATA_READ logging, and `aliya@example.com` from DATA_WRITE logging.
+      "auditLogConfigs": [ # The configuration for logging of each type of permission.
+        { # Provides the configuration for logging a type of permissions. Example: { "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.
+          "exemptedMembers": [ # Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.
+            "A String",
+          ],
+          "logType": "A String", # The log type that this config enables.
+        },
+      ],
+      "service": "A String", # Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services.
+    },
+  ],
+  "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+    { # Associates `members`, or principals, with a `role`.
+      "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+        "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+        "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+        "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+        "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+      },
+      "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+        "A String",
+      ],
+      "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+    },
+  ],
+  "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+  "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+}

+

+
+

+    setIamPolicy(resource, body=None, x__xgafv=None)
+  
Sets the IAM policy for the specified view.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for `SetIamPolicy` method.
+  "policy": { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/). # REQUIRED: The complete policy to be applied to the `resource`. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Google Cloud services (such as Projects) might reject them.
+    "auditConfigs": [ # Specifies cloud audit logging configuration for this policy.
+      { # Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { "audit_configs": [ { "service": "allServices", "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" }, { "log_type": "ADMIN_READ" } ] }, { "service": "sampleservice.googleapis.com", "audit_log_configs": [ { "log_type": "DATA_READ" }, { "log_type": "DATA_WRITE", "exempted_members": [ "user:aliya@example.com" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts `jose@example.com` from DATA_READ logging, and `aliya@example.com` from DATA_WRITE logging.
+        "auditLogConfigs": [ # The configuration for logging of each type of permission.
+          { # Provides the configuration for logging a type of permissions. Example: { "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.
+            "exemptedMembers": [ # Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.
+              "A String",
+            ],
+            "logType": "A String", # The log type that this config enables.
+          },
+        ],
+        "service": "A String", # Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services.
+      },
+    ],
+    "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+      { # Associates `members`, or principals, with a `role`.
+        "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+          "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+          "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+          "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+          "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+        },
+        "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+          "A String",
+        ],
+        "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+      },
+    ],
+    "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+    "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+  },
+  "updateMask": "A String", # OPTIONAL: A FieldMask specifying which fields of the policy to modify. Only the fields in the mask will be modified. If no mask is provided, the following default mask is used: `paths: "bindings, etag"`
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** ``` { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } ``` **YAML example:** ``` bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 ``` For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
+  "auditConfigs": [ # Specifies cloud audit logging configuration for this policy.
+    { # Specifies the audit configuration for a service. The configuration determines which permission types are logged, and what identities, if any, are exempted from logging. An AuditConfig must have one or more AuditLogConfigs. If there are AuditConfigs for both `allServices` and a specific service, the union of the two AuditConfigs is used for that service: the log_types specified in each AuditConfig are enabled, and the exempted_members in each AuditLogConfig are exempted. Example Policy with multiple AuditConfigs: { "audit_configs": [ { "service": "allServices", "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" }, { "log_type": "ADMIN_READ" } ] }, { "service": "sampleservice.googleapis.com", "audit_log_configs": [ { "log_type": "DATA_READ" }, { "log_type": "DATA_WRITE", "exempted_members": [ "user:aliya@example.com" ] } ] } ] } For sampleservice, this policy enables DATA_READ, DATA_WRITE and ADMIN_READ logging. It also exempts `jose@example.com` from DATA_READ logging, and `aliya@example.com` from DATA_WRITE logging.
+      "auditLogConfigs": [ # The configuration for logging of each type of permission.
+        { # Provides the configuration for logging a type of permissions. Example: { "audit_log_configs": [ { "log_type": "DATA_READ", "exempted_members": [ "user:jose@example.com" ] }, { "log_type": "DATA_WRITE" } ] } This enables 'DATA_READ' and 'DATA_WRITE' logging, while exempting jose@example.com from DATA_READ logging.
+          "exemptedMembers": [ # Specifies the identities that do not cause logging for this type of permission. Follows the same format of Binding.members.
+            "A String",
+          ],
+          "logType": "A String", # The log type that this config enables.
+        },
+      ],
+      "service": "A String", # Specifies a service that will be enabled for audit logging. For example, `storage.googleapis.com`, `cloudsql.googleapis.com`. `allServices` is a special value that covers all services.
+    },
+  ],
+  "bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
+    { # Associates `members`, or principals, with a `role`.
+      "condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+        "description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
+        "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
+        "location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
+        "title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
+      },
+      "members": [ # Specifies the principals requesting access for a Google Cloud resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. Does not include identities that come from external identity providers (IdPs) through identity federation. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a Google service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `serviceAccount:{projectid}.svc.id.goog[{namespace}/{kubernetes-sa}]`: An identifier for a [Kubernetes service account](https://cloud.google.com/kubernetes-engine/docs/how-to/kubernetes-service-accounts). For example, `my-project.svc.id.goog[my-namespace/my-kubernetes-sa]`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`. * `principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workforce identity pool. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/group/{group_id}`: All workforce identities in a group. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All workforce identities with a specific attribute value. * `principalSet://iam.googleapis.com/locations/global/workforcePools/{pool_id}/*`: All identities in a workforce identity pool. * `principal://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/subject/{subject_attribute_value}`: A single identity in a workload identity pool. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/group/{group_id}`: A workload identity pool group. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/attribute.{attribute_name}/{attribute_value}`: All identities in a workload identity pool with a certain attribute. * `principalSet://iam.googleapis.com/projects/{project_number}/locations/global/workloadIdentityPools/{pool_id}/*`: All identities in a workload identity pool. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `deleted:principal://iam.googleapis.com/locations/global/workforcePools/{pool_id}/subject/{subject_attribute_value}`: Deleted single identity in a workforce identity pool. For example, `deleted:principal://iam.googleapis.com/locations/global/workforcePools/my-pool-id/subject/my-subject-attribute-value`.
+        "A String",
+      ],
+      "role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`. For an overview of the IAM roles and permissions, see the [IAM documentation](https://cloud.google.com/iam/docs/roles-overview). For a list of the available pre-defined roles, see [here](https://cloud.google.com/iam/docs/understanding-roles).
+    },
+  ],
+  "etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
+  "version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
+}

+

+
+

+    testIamPermissions(resource, body=None, x__xgafv=None)
+  
Tests the IAM permissions for the specified view.
+
+Args:
+  resource: string, REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request message for `TestIamPermissions` method.
+  "permissions": [ # The set of permissions to check for the `resource`. Permissions with wildcards (such as `*` or `storage.*`) are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
+    "A String",
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for `TestIamPermissions` method.
+  "permissions": [ # A subset of `TestPermissionsRequest.permissions` that the caller is allowed.
+    "A String",
+  ],
+}

+

+
+
\ No newline at end of file
diff --git a/googleapiclient/discovery_cache/documents/biglake.v1.json b/googleapiclient/discovery_cache/documents/biglake.v1.json
index 3c22e9247c..374b9d07e8 100644
--- a/googleapiclient/discovery_cache/documents/biglake.v1.json
+++ b/googleapiclient/discovery_cache/documents/biglake.v1.json
@@ -138,11 +138,6 @@
 "description": "Regional Endpoint",
 "endpointUrl": "https://biglake.us-west4.rep.googleapis.com/",
 "location": "us-west4"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://biglake.us-west8.rep.googleapis.com/",
-"location": "us-west8"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -518,6 +513,100 @@
 ]
 }
 }
+},
+"views": {
+"methods": {
+"getIamPolicy": {
+"description": "Gets the IAM policy for the specified View.",
+"flatPath": "v1/projects/{projectsId}/catalogs/{catalogsId}/namespaces/{namespacesId}/views/{viewsId}:getIamPolicy",
+"httpMethod": "GET",
+"id": "biglake.projects.catalogs.namespaces.views.getIamPolicy",
+"parameterOrder": [
+"resource"
+],
+"parameters": {
+"options.requestedPolicyVersion": {
+"description": "Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"resource": {
+"description": "REQUIRED: The resource for which the policy is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.",
+"location": "path",
+"pattern": "^projects/[^/]+/catalogs/[^/]+/namespaces/[^/]+/views/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+resource}:getIamPolicy",
+"response": {
+"$ref": "Policy"
+},
+"scopes": [
+"https://www.googleapis.com/auth/bigquery",
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"setIamPolicy": {
+"description": "Sets the IAM policy for the specified view.",
+"flatPath": "v1/projects/{projectsId}/catalogs/{catalogsId}/namespaces/{namespacesId}/views/{viewsId}:setIamPolicy",
+"httpMethod": "POST",
+"id": "biglake.projects.catalogs.namespaces.views.setIamPolicy",
+"parameterOrder": [
+"resource"
+],
+"parameters": {
+"resource": {
+"description": "REQUIRED: The resource for which the policy is being specified. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.",
+"location": "path",
+"pattern": "^projects/[^/]+/catalogs/[^/]+/namespaces/[^/]+/views/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+resource}:setIamPolicy",
+"request": {
+"$ref": "SetIamPolicyRequest"
+},
+"response": {
+"$ref": "Policy"
+},
+"scopes": [
+"https://www.googleapis.com/auth/bigquery",
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"testIamPermissions": {
+"description": "Tests the IAM permissions for the specified view.",
+"flatPath": "v1/projects/{projectsId}/catalogs/{catalogsId}/namespaces/{namespacesId}/views/{viewsId}:testIamPermissions",
+"httpMethod": "POST",
+"id": "biglake.projects.catalogs.namespaces.views.testIamPermissions",
+"parameterOrder": [
+"resource"
+],
+"parameters": {
+"resource": {
+"description": "REQUIRED: The resource for which the policy detail is being requested. See [Resource names](https://cloud.google.com/apis/design/resource_names) for the appropriate value for this field.",
+"location": "path",
+"pattern": "^projects/[^/]+/catalogs/[^/]+/namespaces/[^/]+/views/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+resource}:testIamPermissions",
+"request": {
+"$ref": "TestIamPermissionsRequest"
+},
+"response": {
+"$ref": "TestIamPermissionsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/bigquery",
+"https://www.googleapis.com/auth/cloud-platform"
+]
+}
+}
 }
 }
 }
@@ -1029,7 +1118,7 @@
 }
 }
 },
-"revision": "20260923",
+"revision": "20261007",
 "rootUrl": "https://biglake.googleapis.com/",
 "schemas": {
 "AuditConfig": {

From ed3c9972fe4ce5bdd29623e5b1fb5cf1a9f9aba3 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:44 +0000
Subject: [PATCH 07/32] feat(chromemanagement): update the api

#### chromemanagement:v1

The following keys were added:
- resources.customers.resources.chromeBrowsers.methods.delete (Total Keys: 10)
- resources.customers.resources.chromeBrowsers.methods.get (Total Keys: 10)
- resources.customers.resources.chromeBrowsers.methods.list (Total Keys: 19)
- resources.customers.resources.chromeBrowsers.methods.move (Total Keys: 11)
- resources.customers.resources.chromeBrowsers.methods.patch (Total Keys: 14)
- resources.customers.resources.enrollmentTokens.methods.create (Total Keys: 13)
- resources.customers.resources.enrollmentTokens.methods.get (Total Keys: 10)
- resources.customers.resources.enrollmentTokens.methods.list (Total Keys: 17)
- resources.customers.resources.enrollmentTokens.methods.revoke (Total Keys: 11)
- schemas.GoogleChromeManagementVersionsV1Browser (Total Keys: 29)
- schemas.GoogleChromeManagementVersionsV1ChromeBrowser (Total Keys: 67)
- schemas.GoogleChromeManagementVersionsV1DeviceIdentifiers (Total Keys: 28)
- schemas.GoogleChromeManagementVersionsV1EnrollmentToken (Total Keys: 23)
- schemas.GoogleChromeManagementVersionsV1Extension (Total Keys: 43)
- schemas.GoogleChromeManagementVersionsV1ListChromeBrowsersResponse (Total Keys: 5)
- schemas.GoogleChromeManagementVersionsV1ListEnrollmentTokensResponse (Total Keys: 5)
- schemas.GoogleChromeManagementVersionsV1MoveChromeBrowsersRequest (Total Keys: 5)
- schemas.GoogleChromeManagementVersionsV1MoveChromeBrowsersResponse (Total Keys: 2)
- schemas.GoogleChromeManagementVersionsV1Plugin (Total Keys: 6)
- schemas.GoogleChromeManagementVersionsV1Policy (Total Keys: 10)
- schemas.GoogleChromeManagementVersionsV1Profile (Total Keys: 32)
- schemas.GoogleChromeManagementVersionsV1RevokeEnrollmentTokenRequest (Total Keys: 2)
---
 ...anagement_v1.customers.chromeBrowsers.html |  826 ++++++++++++
 ...agement_v1.customers.enrollmentTokens.html |  263 ++++
 docs/dyn/chromemanagement_v1.customers.html   |   10 +
 .../documents/chromemanagement.v1.json        | 1149 ++++++++++++++++-
 4 files changed, 2195 insertions(+), 53 deletions(-)
 create mode 100644 docs/dyn/chromemanagement_v1.customers.chromeBrowsers.html
 create mode 100644 docs/dyn/chromemanagement_v1.customers.enrollmentTokens.html

diff --git a/docs/dyn/chromemanagement_v1.customers.chromeBrowsers.html b/docs/dyn/chromemanagement_v1.customers.chromeBrowsers.html
new file mode 100644
index 0000000000..3ba1559b4f
--- /dev/null
+++ b/docs/dyn/chromemanagement_v1.customers.chromeBrowsers.html
@@ -0,0 +1,826 @@
+
+
+
+
Chrome Management API . customers . chromeBrowsers

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  delete(name, x__xgafv=None)

+
Deletes the data collected from a Chrome browser profile.

+

+  get(name, x__xgafv=None)

+
Retrieves a single Chrome Browser identified by its customer ID and resource ID.

+

+  list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)

+
Retrieves all Chrome Browsers of a customer (paginated).

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+

+  move(parent, body=None, x__xgafv=None)

+
Moves managed Chrome Browsers to a new Organizational Unit (OU). If there is an error while moving any of the browsers, none of the browsers will be moved.

+

+  patch(name, body=None, updateMask=None, x__xgafv=None)

+
Updates annotation information for a Chrome Browser.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    delete(name, x__xgafv=None)
+  
Deletes the data collected from a Chrome browser profile.
+
+Args:
+  name: string, Required. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id} (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}

+

+
+

+    get(name, x__xgafv=None)
+  
Retrieves a single Chrome Browser identified by its customer ID and resource ID.
+
+Args:
+  name: string, Required. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id} (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A device with managed Chrome Browsers.
+  "annotatedAssetId": "A String", # Optional. Asset identifier as annotated by the administrator or specified during enrollment.
+  "annotatedLocation": "A String", # Optional. Address or location of the device as annotated by the administrator.
+  "annotatedNotes": "A String", # Optional. Notes about this device as annotated by the administrator.
+  "annotatedUser": "A String", # Optional. User of the device as annotated by the administrator.
+  "attestationCredential": { # Information of public key associated with a Chrome browser profile. # Output only. The attestation credential used for Device Trust Connector.
+    "keyRotationTime": "A String", # Output only. Latest rotation timestamp of the public key rotation.
+    "keyTrustLevel": "A String", # Output only. Trust level of the public key.
+    "keyType": "A String", # Output only. Type of the public key.
+    "publicKey": "A String", # Output only. Value of the public key.
+  },
+  "browserPermanentId": "A String", # Output only. Unique identifier of Chrome Browser.
+  "browserVersions": [ # Output only. List of all browser versions installed on this device.
+    "A String",
+  ],
+  "browsers": [ # Output only. List of Chrome browsers installed on this device.
+    { # A specific installation of Chrome on a device with managed Chrome browsers.
+      "browserVersion": "A String", # Output only. Browser version installed.
+      "channel": "A String", # Output only. The channel of the browser installed.
+      "executablePath": "A String", # Output only. The path to the Chrome.exe executable for this browser.
+      "lastPolicyFetchTime": "A String", # Output only. The time when the last request to fetch policies succeeded on this Chrome browser.
+      "lastStatusReportTime": "A String", # Output only. The time when the last report was received from this Chrome browser.
+      "pendingInstallVersion": "A String", # Output only. Pending version of a browser is installed. This field is only set when the current active browser has a different version as in "browser_version".
+      "plugins": [ # Output only. List of all plugins installed on this Chrome browser.
+        { # Information about a Chrome browser plugin installed on a reported Chrome installation on a device with managed Chrome browsers.
+          "description": "A String", # Output only. The description of the installed plugin.
+          "filename": "A String", # Output only. The filename of the installed plugin.
+          "pluginName": "A String", # Output only. The name of the installed plugin.
+        },
+      ],
+      "profiles": [ # Output only. The list of profiles for this browser.
+        { # A profile reported on an installation of Chrome on a device with managed chrome browsers.
+          "chromeSignedInUserEmail": "A String", # Output only. The email of the user signed in to this profile, if any.
+          "extensionPolicies": [ # Output only. The list of extensions with applied extension policies.
+            { # The reported policies applied to an extension installed on a Chrome profile.
+              "extensionId": "A String", # Output only. The id of the extension the policies are applied to.
+              "extensionName": "A String", # Output only. The name of the extension the policies are applied to.
+              "policies": [ # Output only. List of policies applied to this extension.
+                { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+                  "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+                  "policyName": "A String", # Output only. The name of the policy.
+                  "source": "A String", # Output only. The source of the policy.
+                  "value": "A String", # Output only. The value of the policy.
+                },
+              ],
+            },
+          ],
+          "extensions": [ # Output only. The list of extensions installed for this profile.
+            { # Information about extensions installed on profile reported on an installed Chrome on a device with managed chrome browsers.
+              "appType": "A String", # Output only. The type of the extension.
+              "configuredAppPolicy": "A String", # Output only. If the extension is controlled by a browser policy.
+              "description": "A String", # Output only. The localized description of this extension.
+              "disabled": True or False, # Output only. Whether the extension is disabled.
+              "extensionId": "A String", # Output only. The id of the extension.
+              "extensionName": "A String", # Output only. The localized name of this extension as reported by Chrome.
+              "homepageUri": "A String", # Output only. The URL of the homepage for this extension.
+              "icons": [ # Output only. The list of icons available for this extension.
+                { # An icon of a Chrome browser extension.
+                  "size": 42, # Output only. The size of the extension icon.
+                  "uri": "A String", # Output only. The URL to the extension icon.
+                },
+              ],
+              "installType": "A String", # Output only. The way the extension was installed.
+              "manifestVersion": 42, # Output only. The manifest version of this extension.
+              "permissions": [ # Output only. The list of permissions required for this extension.
+                "A String",
+              ],
+              "version": "A String", # Output only. The version of the extension.
+            },
+          ],
+          "id": "A String", # Output only. A unique ID for this profile.
+          "lastPolicyFetchTime": "A String", # Output only. The time when the last request to fetch policies succeeded for this profile.
+          "lastStatusReportTime": "A String", # Output only. The time when the last report was received from this profile.
+          "profileName": "A String", # Output only. The name given to this profile.
+          "safeBrowsingWarnings": "A String", # Output only. The number of safe browsing warnings that were shown on this profile.
+          "safeBrowsingWarningsClickThroughs": "A String", # Output only. The number of safe browsing warnings that were clicked through on this profile.
+          "safeBrowsingWarningsResetTime": "A String", # Output only. The last time the safe browsing warning info was reset to 0.
+          "userPolicies": [ # Output only. The list of Chrome browser policies applied to this profile.
+            { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+              "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+              "policyName": "A String", # Output only. The name of the policy.
+              "source": "A String", # Output only. The source of the policy.
+              "value": "A String", # Output only. The value of the policy.
+            },
+          ],
+        },
+      ],
+    },
+  ],
+  "deviceIdentifiersHistory": { # History of device identifiers reported from a device. # Output only. The history of identifiers reported to this device.
+    "deviceIdCollision": True or False, # Output only. The device id is potentially being used by multiple devices.
+    "lastDeviceIdCollisionDetectionTime": "A String", # Output only. The last time we detected the device id collision.
+    "records": [ # Output only. List of device identifiers sent by this device. In descending order by last_activity_time.
+      { # Record of the device identifiers and when they were reported.
+        "firstRecordTime": "A String", # Output only. The first time these identifiers were reported.
+        "identifiers": { # Collection of device identifiers. # Output only. Device identifiers.
+          "hostName": "A String", # Output only. The device's host name.
+          "machineName": "A String", # Output only. The name of the machine associated with the device.
+          "serialNumber": "A String", # Output only. The device's serial number.
+        },
+        "lastActivityTime": "A String", # Output only. The time of the last activity of these identifiers either from reporting, policy fetching or registration.
+      },
+    ],
+  },
+  "extensionCount": "A String", # Output only. The number of distinct extensions installed on all the Chrome browsers of this device.
+  "lastActivityTime": "A String", # Output only. The time of the last activity on the device device either from reporting, policy fetching or registration.
+  "lastDeviceUser": "A String", # Output only. The last user who logged into a Chrome browser on this device.
+  "lastDeviceUsers": [ # Output only. List of recent browser users, in descending order by last report time.
+    { # A Chrome browser user.
+      "lastStatusReportTime": "A String", # Output only. The time when this user info last reported a status.
+      "userName": "A String", # Output only. The user name of the user that signed into chrome.
+    },
+  ],
+  "lastPolicyFetchTime": "A String", # Output only. The time the last policy fetch succeeded on this device.
+  "lastRegistrationTime": "A String", # Output only. The time the device last tried to register.
+  "lastStatusReportTime": "A String", # Output only. The time the device last sent a status report.
+  "machineExtensionPolicies": [ # Output only. The list of all device level policies set for extensions installed in Chrome on this device.
+    { # The reported policies applied to an extension installed on a Chrome profile.
+      "extensionId": "A String", # Output only. The id of the extension the policies are applied to.
+      "extensionName": "A String", # Output only. The name of the extension the policies are applied to.
+      "policies": [ # Output only. List of policies applied to this extension.
+        { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+          "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+          "policyName": "A String", # Output only. The name of the policy.
+          "source": "A String", # Output only. The source of the policy.
+          "value": "A String", # Output only. The value of the policy.
+        },
+      ],
+    },
+  ],
+  "machineName": "A String", # Output only. Machine name.
+  "machinePolicies": [ # Output only. The list of all device level policies set for Chrome browsers on this device.
+    { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+      "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+      "policyName": "A String", # Output only. The name of the policy.
+      "source": "A String", # Output only. The source of the policy.
+      "value": "A String", # Output only. The value of the policy.
+    },
+  ],
+  "name": "A String", # Identifier. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id}
+  "omahaRecentFetchTime": "A String", # Output only. Recent policy fetch activity by Omaha. Not necessarily the last fetch since this field is only updated daily.
+  "orgUnitId": "A String", # Output only. The obfuscated organizational unit ID of the browser.
+  "osArchitecture": "A String", # Output only. Device CPU architecture.
+  "osPlatform": "A String", # Output only. Device Os platform.
+  "osPlatformVersion": "A String", # Output only. Device Os platform and version combined.
+  "osVersion": "A String", # Output only. Device Os Version.
+  "policyCount": "A String", # Output only. The number of distinct policies set on all the Chrome browsers of this device.
+  "serialNumber": "A String", # Output only. The device's serial number.
+  "virtualDeviceId": "A String", # Output only. The initial device id sent by the first Chrome browser that enrolled this device.
+}

+

+
+

+    list(parent, filter=None, orderBy=None, pageSize=None, pageToken=None, x__xgafv=None)
+  
Retrieves all Chrome Browsers of a customer (paginated).
+
+Args:
+  parent: string, Required. Format: customers/{customer_id} (required)
+  filter: string, Optional. The filter used to filter browsers. The following fields can be used in the filter: * `browser_permanent_id` * `last_policy_fetch_time` * `os_platform` * `os_architecture` * `os_version` * `machine_name` * `annotated_location` * `annotated_user` * `annotated_asset_id` * `annotated_note` * `org_unit_path` * `org_unit_id` * `last_registration_time` * `os_platform_version` * `browser_version` * `last_status_report_time` * `extension_count` * `policy_count` * `last_device_user` * `last_activity_time` * `device_id_collision` The following functions can be used in the filter: * `in_group(string)`: Filters browsers that belong to the specified Cloud Identity group resource name (e.g. `in_group("groups/{group_id}")`). Any of the above fields or functions can be used to specify a filter, and filtering by multiple fields or functions is supported with AND operator. String type, Integer type fields and enum type fields support `=` and `:` operators. The timestamp type fields support `=`, `<=` and `>=` operators. Timestamps expect an RFC-3339 formatted string (e.g. 2012-04-21T11:30:00-04:00). Wildcard `*` is only supported for `machine_name`, `annotated_asset_id`, and `browser_version`. In addition, global string literal filtering without a field name is supported: a single term (e.g., `ABC`) matches if any indexed string field contains `ABC`, and multiple terms joined by `AND` or whitespace (e.g., `machine AND 73` or `machine 73`) match browsers where every term appears in at least one indexed string field (whereas a single quoted phrase like `"machine 73"` matches the contiguous phrase within a single field).
+  orderBy: string, Optional. The fields used to specify the ordering of the results. The supported fields are: * `browser_permanent_id` * `last_sync` * `annotated_user` * `annotated_location` * `annotated_asset_id` * `annotated_notes` * `org_unit_path` * `os_version` * `enrollment_date` * `extension_count` * `policy_count` * `last_signed_in_user` * `machine_name` * `browser_version_channel` * `os_platform_version` * `last_activity_time` * `browser_version` By default, sorting is in ascending order, to specify descending order for a field, a suffix ` desc` should be added to the field name. The default ordering is the descending order of `last_status_report_time`.
+  pageSize: integer, Optional. Maximum number of results to return. Maximum and default are 100.
+  pageToken: string, Optional. Token to specify next page in the list.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response to ListChromeBrowsers method.
+  "chromeBrowsers": [ # List of Chrome Browser device objects.
+    { # A device with managed Chrome Browsers.
+      "annotatedAssetId": "A String", # Optional. Asset identifier as annotated by the administrator or specified during enrollment.
+      "annotatedLocation": "A String", # Optional. Address or location of the device as annotated by the administrator.
+      "annotatedNotes": "A String", # Optional. Notes about this device as annotated by the administrator.
+      "annotatedUser": "A String", # Optional. User of the device as annotated by the administrator.
+      "attestationCredential": { # Information of public key associated with a Chrome browser profile. # Output only. The attestation credential used for Device Trust Connector.
+        "keyRotationTime": "A String", # Output only. Latest rotation timestamp of the public key rotation.
+        "keyTrustLevel": "A String", # Output only. Trust level of the public key.
+        "keyType": "A String", # Output only. Type of the public key.
+        "publicKey": "A String", # Output only. Value of the public key.
+      },
+      "browserPermanentId": "A String", # Output only. Unique identifier of Chrome Browser.
+      "browserVersions": [ # Output only. List of all browser versions installed on this device.
+        "A String",
+      ],
+      "browsers": [ # Output only. List of Chrome browsers installed on this device.
+        { # A specific installation of Chrome on a device with managed Chrome browsers.
+          "browserVersion": "A String", # Output only. Browser version installed.
+          "channel": "A String", # Output only. The channel of the browser installed.
+          "executablePath": "A String", # Output only. The path to the Chrome.exe executable for this browser.
+          "lastPolicyFetchTime": "A String", # Output only. The time when the last request to fetch policies succeeded on this Chrome browser.
+          "lastStatusReportTime": "A String", # Output only. The time when the last report was received from this Chrome browser.
+          "pendingInstallVersion": "A String", # Output only. Pending version of a browser is installed. This field is only set when the current active browser has a different version as in "browser_version".
+          "plugins": [ # Output only. List of all plugins installed on this Chrome browser.
+            { # Information about a Chrome browser plugin installed on a reported Chrome installation on a device with managed Chrome browsers.
+              "description": "A String", # Output only. The description of the installed plugin.
+              "filename": "A String", # Output only. The filename of the installed plugin.
+              "pluginName": "A String", # Output only. The name of the installed plugin.
+            },
+          ],
+          "profiles": [ # Output only. The list of profiles for this browser.
+            { # A profile reported on an installation of Chrome on a device with managed chrome browsers.
+              "chromeSignedInUserEmail": "A String", # Output only. The email of the user signed in to this profile, if any.
+              "extensionPolicies": [ # Output only. The list of extensions with applied extension policies.
+                { # The reported policies applied to an extension installed on a Chrome profile.
+                  "extensionId": "A String", # Output only. The id of the extension the policies are applied to.
+                  "extensionName": "A String", # Output only. The name of the extension the policies are applied to.
+                  "policies": [ # Output only. List of policies applied to this extension.
+                    { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+                      "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+                      "policyName": "A String", # Output only. The name of the policy.
+                      "source": "A String", # Output only. The source of the policy.
+                      "value": "A String", # Output only. The value of the policy.
+                    },
+                  ],
+                },
+              ],
+              "extensions": [ # Output only. The list of extensions installed for this profile.
+                { # Information about extensions installed on profile reported on an installed Chrome on a device with managed chrome browsers.
+                  "appType": "A String", # Output only. The type of the extension.
+                  "configuredAppPolicy": "A String", # Output only. If the extension is controlled by a browser policy.
+                  "description": "A String", # Output only. The localized description of this extension.
+                  "disabled": True or False, # Output only. Whether the extension is disabled.
+                  "extensionId": "A String", # Output only. The id of the extension.
+                  "extensionName": "A String", # Output only. The localized name of this extension as reported by Chrome.
+                  "homepageUri": "A String", # Output only. The URL of the homepage for this extension.
+                  "icons": [ # Output only. The list of icons available for this extension.
+                    { # An icon of a Chrome browser extension.
+                      "size": 42, # Output only. The size of the extension icon.
+                      "uri": "A String", # Output only. The URL to the extension icon.
+                    },
+                  ],
+                  "installType": "A String", # Output only. The way the extension was installed.
+                  "manifestVersion": 42, # Output only. The manifest version of this extension.
+                  "permissions": [ # Output only. The list of permissions required for this extension.
+                    "A String",
+                  ],
+                  "version": "A String", # Output only. The version of the extension.
+                },
+              ],
+              "id": "A String", # Output only. A unique ID for this profile.
+              "lastPolicyFetchTime": "A String", # Output only. The time when the last request to fetch policies succeeded for this profile.
+              "lastStatusReportTime": "A String", # Output only. The time when the last report was received from this profile.
+              "profileName": "A String", # Output only. The name given to this profile.
+              "safeBrowsingWarnings": "A String", # Output only. The number of safe browsing warnings that were shown on this profile.
+              "safeBrowsingWarningsClickThroughs": "A String", # Output only. The number of safe browsing warnings that were clicked through on this profile.
+              "safeBrowsingWarningsResetTime": "A String", # Output only. The last time the safe browsing warning info was reset to 0.
+              "userPolicies": [ # Output only. The list of Chrome browser policies applied to this profile.
+                { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+                  "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+                  "policyName": "A String", # Output only. The name of the policy.
+                  "source": "A String", # Output only. The source of the policy.
+                  "value": "A String", # Output only. The value of the policy.
+                },
+              ],
+            },
+          ],
+        },
+      ],
+      "deviceIdentifiersHistory": { # History of device identifiers reported from a device. # Output only. The history of identifiers reported to this device.
+        "deviceIdCollision": True or False, # Output only. The device id is potentially being used by multiple devices.
+        "lastDeviceIdCollisionDetectionTime": "A String", # Output only. The last time we detected the device id collision.
+        "records": [ # Output only. List of device identifiers sent by this device. In descending order by last_activity_time.
+          { # Record of the device identifiers and when they were reported.
+            "firstRecordTime": "A String", # Output only. The first time these identifiers were reported.
+            "identifiers": { # Collection of device identifiers. # Output only. Device identifiers.
+              "hostName": "A String", # Output only. The device's host name.
+              "machineName": "A String", # Output only. The name of the machine associated with the device.
+              "serialNumber": "A String", # Output only. The device's serial number.
+            },
+            "lastActivityTime": "A String", # Output only. The time of the last activity of these identifiers either from reporting, policy fetching or registration.
+          },
+        ],
+      },
+      "extensionCount": "A String", # Output only. The number of distinct extensions installed on all the Chrome browsers of this device.
+      "lastActivityTime": "A String", # Output only. The time of the last activity on the device device either from reporting, policy fetching or registration.
+      "lastDeviceUser": "A String", # Output only. The last user who logged into a Chrome browser on this device.
+      "lastDeviceUsers": [ # Output only. List of recent browser users, in descending order by last report time.
+        { # A Chrome browser user.
+          "lastStatusReportTime": "A String", # Output only. The time when this user info last reported a status.
+          "userName": "A String", # Output only. The user name of the user that signed into chrome.
+        },
+      ],
+      "lastPolicyFetchTime": "A String", # Output only. The time the last policy fetch succeeded on this device.
+      "lastRegistrationTime": "A String", # Output only. The time the device last tried to register.
+      "lastStatusReportTime": "A String", # Output only. The time the device last sent a status report.
+      "machineExtensionPolicies": [ # Output only. The list of all device level policies set for extensions installed in Chrome on this device.
+        { # The reported policies applied to an extension installed on a Chrome profile.
+          "extensionId": "A String", # Output only. The id of the extension the policies are applied to.
+          "extensionName": "A String", # Output only. The name of the extension the policies are applied to.
+          "policies": [ # Output only. List of policies applied to this extension.
+            { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+              "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+              "policyName": "A String", # Output only. The name of the policy.
+              "source": "A String", # Output only. The source of the policy.
+              "value": "A String", # Output only. The value of the policy.
+            },
+          ],
+        },
+      ],
+      "machineName": "A String", # Output only. Machine name.
+      "machinePolicies": [ # Output only. The list of all device level policies set for Chrome browsers on this device.
+        { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+          "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+          "policyName": "A String", # Output only. The name of the policy.
+          "source": "A String", # Output only. The source of the policy.
+          "value": "A String", # Output only. The value of the policy.
+        },
+      ],
+      "name": "A String", # Identifier. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id}
+      "omahaRecentFetchTime": "A String", # Output only. Recent policy fetch activity by Omaha. Not necessarily the last fetch since this field is only updated daily.
+      "orgUnitId": "A String", # Output only. The obfuscated organizational unit ID of the browser.
+      "osArchitecture": "A String", # Output only. Device CPU architecture.
+      "osPlatform": "A String", # Output only. Device Os platform.
+      "osPlatformVersion": "A String", # Output only. Device Os platform and version combined.
+      "osVersion": "A String", # Output only. Device Os Version.
+      "policyCount": "A String", # Output only. The number of distinct policies set on all the Chrome browsers of this device.
+      "serialNumber": "A String", # Output only. The device's serial number.
+      "virtualDeviceId": "A String", # Output only. The initial device id sent by the first Chrome browser that enrolled this device.
+    },
+  ],
+  "nextPageToken": "A String", # Token used to access next page of this result.
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+

+    move(parent, body=None, x__xgafv=None)
+  
Moves managed Chrome Browsers to a new Organizational Unit (OU). If there is an error while moving any of the browsers, none of the browsers will be moved.
+
+Args:
+  parent: string, Required. Format: customers/{customer_id} (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request to MoveChromeBrowsers method.
+  "destinationOrgUnitId": "A String", # Required. ID of the destination organizational unit.
+  "resourceIds": [ # Required. List of resource IDs of Chrome Browser Devices to move. A maximum of 600 browsers may be moved per request.
+    "A String",
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response to MoveChromeBrowsers method.
+}

+

+
+

+    patch(name, body=None, updateMask=None, x__xgafv=None)
+  
Updates annotation information for a Chrome Browser.
+
+Args:
+  name: string, Identifier. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id} (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # A device with managed Chrome Browsers.
+  "annotatedAssetId": "A String", # Optional. Asset identifier as annotated by the administrator or specified during enrollment.
+  "annotatedLocation": "A String", # Optional. Address or location of the device as annotated by the administrator.
+  "annotatedNotes": "A String", # Optional. Notes about this device as annotated by the administrator.
+  "annotatedUser": "A String", # Optional. User of the device as annotated by the administrator.
+  "attestationCredential": { # Information of public key associated with a Chrome browser profile. # Output only. The attestation credential used for Device Trust Connector.
+    "keyRotationTime": "A String", # Output only. Latest rotation timestamp of the public key rotation.
+    "keyTrustLevel": "A String", # Output only. Trust level of the public key.
+    "keyType": "A String", # Output only. Type of the public key.
+    "publicKey": "A String", # Output only. Value of the public key.
+  },
+  "browserPermanentId": "A String", # Output only. Unique identifier of Chrome Browser.
+  "browserVersions": [ # Output only. List of all browser versions installed on this device.
+    "A String",
+  ],
+  "browsers": [ # Output only. List of Chrome browsers installed on this device.
+    { # A specific installation of Chrome on a device with managed Chrome browsers.
+      "browserVersion": "A String", # Output only. Browser version installed.
+      "channel": "A String", # Output only. The channel of the browser installed.
+      "executablePath": "A String", # Output only. The path to the Chrome.exe executable for this browser.
+      "lastPolicyFetchTime": "A String", # Output only. The time when the last request to fetch policies succeeded on this Chrome browser.
+      "lastStatusReportTime": "A String", # Output only. The time when the last report was received from this Chrome browser.
+      "pendingInstallVersion": "A String", # Output only. Pending version of a browser is installed. This field is only set when the current active browser has a different version as in "browser_version".
+      "plugins": [ # Output only. List of all plugins installed on this Chrome browser.
+        { # Information about a Chrome browser plugin installed on a reported Chrome installation on a device with managed Chrome browsers.
+          "description": "A String", # Output only. The description of the installed plugin.
+          "filename": "A String", # Output only. The filename of the installed plugin.
+          "pluginName": "A String", # Output only. The name of the installed plugin.
+        },
+      ],
+      "profiles": [ # Output only. The list of profiles for this browser.
+        { # A profile reported on an installation of Chrome on a device with managed chrome browsers.
+          "chromeSignedInUserEmail": "A String", # Output only. The email of the user signed in to this profile, if any.
+          "extensionPolicies": [ # Output only. The list of extensions with applied extension policies.
+            { # The reported policies applied to an extension installed on a Chrome profile.
+              "extensionId": "A String", # Output only. The id of the extension the policies are applied to.
+              "extensionName": "A String", # Output only. The name of the extension the policies are applied to.
+              "policies": [ # Output only. List of policies applied to this extension.
+                { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+                  "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+                  "policyName": "A String", # Output only. The name of the policy.
+                  "source": "A String", # Output only. The source of the policy.
+                  "value": "A String", # Output only. The value of the policy.
+                },
+              ],
+            },
+          ],
+          "extensions": [ # Output only. The list of extensions installed for this profile.
+            { # Information about extensions installed on profile reported on an installed Chrome on a device with managed chrome browsers.
+              "appType": "A String", # Output only. The type of the extension.
+              "configuredAppPolicy": "A String", # Output only. If the extension is controlled by a browser policy.
+              "description": "A String", # Output only. The localized description of this extension.
+              "disabled": True or False, # Output only. Whether the extension is disabled.
+              "extensionId": "A String", # Output only. The id of the extension.
+              "extensionName": "A String", # Output only. The localized name of this extension as reported by Chrome.
+              "homepageUri": "A String", # Output only. The URL of the homepage for this extension.
+              "icons": [ # Output only. The list of icons available for this extension.
+                { # An icon of a Chrome browser extension.
+                  "size": 42, # Output only. The size of the extension icon.
+                  "uri": "A String", # Output only. The URL to the extension icon.
+                },
+              ],
+              "installType": "A String", # Output only. The way the extension was installed.
+              "manifestVersion": 42, # Output only. The manifest version of this extension.
+              "permissions": [ # Output only. The list of permissions required for this extension.
+                "A String",
+              ],
+              "version": "A String", # Output only. The version of the extension.
+            },
+          ],
+          "id": "A String", # Output only. A unique ID for this profile.
+          "lastPolicyFetchTime": "A String", # Output only. The time when the last request to fetch policies succeeded for this profile.
+          "lastStatusReportTime": "A String", # Output only. The time when the last report was received from this profile.
+          "profileName": "A String", # Output only. The name given to this profile.
+          "safeBrowsingWarnings": "A String", # Output only. The number of safe browsing warnings that were shown on this profile.
+          "safeBrowsingWarningsClickThroughs": "A String", # Output only. The number of safe browsing warnings that were clicked through on this profile.
+          "safeBrowsingWarningsResetTime": "A String", # Output only. The last time the safe browsing warning info was reset to 0.
+          "userPolicies": [ # Output only. The list of Chrome browser policies applied to this profile.
+            { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+              "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+              "policyName": "A String", # Output only. The name of the policy.
+              "source": "A String", # Output only. The source of the policy.
+              "value": "A String", # Output only. The value of the policy.
+            },
+          ],
+        },
+      ],
+    },
+  ],
+  "deviceIdentifiersHistory": { # History of device identifiers reported from a device. # Output only. The history of identifiers reported to this device.
+    "deviceIdCollision": True or False, # Output only. The device id is potentially being used by multiple devices.
+    "lastDeviceIdCollisionDetectionTime": "A String", # Output only. The last time we detected the device id collision.
+    "records": [ # Output only. List of device identifiers sent by this device. In descending order by last_activity_time.
+      { # Record of the device identifiers and when they were reported.
+        "firstRecordTime": "A String", # Output only. The first time these identifiers were reported.
+        "identifiers": { # Collection of device identifiers. # Output only. Device identifiers.
+          "hostName": "A String", # Output only. The device's host name.
+          "machineName": "A String", # Output only. The name of the machine associated with the device.
+          "serialNumber": "A String", # Output only. The device's serial number.
+        },
+        "lastActivityTime": "A String", # Output only. The time of the last activity of these identifiers either from reporting, policy fetching or registration.
+      },
+    ],
+  },
+  "extensionCount": "A String", # Output only. The number of distinct extensions installed on all the Chrome browsers of this device.
+  "lastActivityTime": "A String", # Output only. The time of the last activity on the device device either from reporting, policy fetching or registration.
+  "lastDeviceUser": "A String", # Output only. The last user who logged into a Chrome browser on this device.
+  "lastDeviceUsers": [ # Output only. List of recent browser users, in descending order by last report time.
+    { # A Chrome browser user.
+      "lastStatusReportTime": "A String", # Output only. The time when this user info last reported a status.
+      "userName": "A String", # Output only. The user name of the user that signed into chrome.
+    },
+  ],
+  "lastPolicyFetchTime": "A String", # Output only. The time the last policy fetch succeeded on this device.
+  "lastRegistrationTime": "A String", # Output only. The time the device last tried to register.
+  "lastStatusReportTime": "A String", # Output only. The time the device last sent a status report.
+  "machineExtensionPolicies": [ # Output only. The list of all device level policies set for extensions installed in Chrome on this device.
+    { # The reported policies applied to an extension installed on a Chrome profile.
+      "extensionId": "A String", # Output only. The id of the extension the policies are applied to.
+      "extensionName": "A String", # Output only. The name of the extension the policies are applied to.
+      "policies": [ # Output only. List of policies applied to this extension.
+        { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+          "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+          "policyName": "A String", # Output only. The name of the policy.
+          "source": "A String", # Output only. The source of the policy.
+          "value": "A String", # Output only. The value of the policy.
+        },
+      ],
+    },
+  ],
+  "machineName": "A String", # Output only. Machine name.
+  "machinePolicies": [ # Output only. The list of all device level policies set for Chrome browsers on this device.
+    { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+      "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+      "policyName": "A String", # Output only. The name of the policy.
+      "source": "A String", # Output only. The source of the policy.
+      "value": "A String", # Output only. The value of the policy.
+    },
+  ],
+  "name": "A String", # Identifier. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id}
+  "omahaRecentFetchTime": "A String", # Output only. Recent policy fetch activity by Omaha. Not necessarily the last fetch since this field is only updated daily.
+  "orgUnitId": "A String", # Output only. The obfuscated organizational unit ID of the browser.
+  "osArchitecture": "A String", # Output only. Device CPU architecture.
+  "osPlatform": "A String", # Output only. Device Os platform.
+  "osPlatformVersion": "A String", # Output only. Device Os platform and version combined.
+  "osVersion": "A String", # Output only. Device Os Version.
+  "policyCount": "A String", # Output only. The number of distinct policies set on all the Chrome browsers of this device.
+  "serialNumber": "A String", # Output only. The device's serial number.
+  "virtualDeviceId": "A String", # Output only. The initial device id sent by the first Chrome browser that enrolled this device.
+}
+
+  updateMask: string, Optional. The update mask that can be used to specify which fields to update.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A device with managed Chrome Browsers.
+  "annotatedAssetId": "A String", # Optional. Asset identifier as annotated by the administrator or specified during enrollment.
+  "annotatedLocation": "A String", # Optional. Address or location of the device as annotated by the administrator.
+  "annotatedNotes": "A String", # Optional. Notes about this device as annotated by the administrator.
+  "annotatedUser": "A String", # Optional. User of the device as annotated by the administrator.
+  "attestationCredential": { # Information of public key associated with a Chrome browser profile. # Output only. The attestation credential used for Device Trust Connector.
+    "keyRotationTime": "A String", # Output only. Latest rotation timestamp of the public key rotation.
+    "keyTrustLevel": "A String", # Output only. Trust level of the public key.
+    "keyType": "A String", # Output only. Type of the public key.
+    "publicKey": "A String", # Output only. Value of the public key.
+  },
+  "browserPermanentId": "A String", # Output only. Unique identifier of Chrome Browser.
+  "browserVersions": [ # Output only. List of all browser versions installed on this device.
+    "A String",
+  ],
+  "browsers": [ # Output only. List of Chrome browsers installed on this device.
+    { # A specific installation of Chrome on a device with managed Chrome browsers.
+      "browserVersion": "A String", # Output only. Browser version installed.
+      "channel": "A String", # Output only. The channel of the browser installed.
+      "executablePath": "A String", # Output only. The path to the Chrome.exe executable for this browser.
+      "lastPolicyFetchTime": "A String", # Output only. The time when the last request to fetch policies succeeded on this Chrome browser.
+      "lastStatusReportTime": "A String", # Output only. The time when the last report was received from this Chrome browser.
+      "pendingInstallVersion": "A String", # Output only. Pending version of a browser is installed. This field is only set when the current active browser has a different version as in "browser_version".
+      "plugins": [ # Output only. List of all plugins installed on this Chrome browser.
+        { # Information about a Chrome browser plugin installed on a reported Chrome installation on a device with managed Chrome browsers.
+          "description": "A String", # Output only. The description of the installed plugin.
+          "filename": "A String", # Output only. The filename of the installed plugin.
+          "pluginName": "A String", # Output only. The name of the installed plugin.
+        },
+      ],
+      "profiles": [ # Output only. The list of profiles for this browser.
+        { # A profile reported on an installation of Chrome on a device with managed chrome browsers.
+          "chromeSignedInUserEmail": "A String", # Output only. The email of the user signed in to this profile, if any.
+          "extensionPolicies": [ # Output only. The list of extensions with applied extension policies.
+            { # The reported policies applied to an extension installed on a Chrome profile.
+              "extensionId": "A String", # Output only. The id of the extension the policies are applied to.
+              "extensionName": "A String", # Output only. The name of the extension the policies are applied to.
+              "policies": [ # Output only. List of policies applied to this extension.
+                { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+                  "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+                  "policyName": "A String", # Output only. The name of the policy.
+                  "source": "A String", # Output only. The source of the policy.
+                  "value": "A String", # Output only. The value of the policy.
+                },
+              ],
+            },
+          ],
+          "extensions": [ # Output only. The list of extensions installed for this profile.
+            { # Information about extensions installed on profile reported on an installed Chrome on a device with managed chrome browsers.
+              "appType": "A String", # Output only. The type of the extension.
+              "configuredAppPolicy": "A String", # Output only. If the extension is controlled by a browser policy.
+              "description": "A String", # Output only. The localized description of this extension.
+              "disabled": True or False, # Output only. Whether the extension is disabled.
+              "extensionId": "A String", # Output only. The id of the extension.
+              "extensionName": "A String", # Output only. The localized name of this extension as reported by Chrome.
+              "homepageUri": "A String", # Output only. The URL of the homepage for this extension.
+              "icons": [ # Output only. The list of icons available for this extension.
+                { # An icon of a Chrome browser extension.
+                  "size": 42, # Output only. The size of the extension icon.
+                  "uri": "A String", # Output only. The URL to the extension icon.
+                },
+              ],
+              "installType": "A String", # Output only. The way the extension was installed.
+              "manifestVersion": 42, # Output only. The manifest version of this extension.
+              "permissions": [ # Output only. The list of permissions required for this extension.
+                "A String",
+              ],
+              "version": "A String", # Output only. The version of the extension.
+            },
+          ],
+          "id": "A String", # Output only. A unique ID for this profile.
+          "lastPolicyFetchTime": "A String", # Output only. The time when the last request to fetch policies succeeded for this profile.
+          "lastStatusReportTime": "A String", # Output only. The time when the last report was received from this profile.
+          "profileName": "A String", # Output only. The name given to this profile.
+          "safeBrowsingWarnings": "A String", # Output only. The number of safe browsing warnings that were shown on this profile.
+          "safeBrowsingWarningsClickThroughs": "A String", # Output only. The number of safe browsing warnings that were clicked through on this profile.
+          "safeBrowsingWarningsResetTime": "A String", # Output only. The last time the safe browsing warning info was reset to 0.
+          "userPolicies": [ # Output only. The list of Chrome browser policies applied to this profile.
+            { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+              "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+              "policyName": "A String", # Output only. The name of the policy.
+              "source": "A String", # Output only. The source of the policy.
+              "value": "A String", # Output only. The value of the policy.
+            },
+          ],
+        },
+      ],
+    },
+  ],
+  "deviceIdentifiersHistory": { # History of device identifiers reported from a device. # Output only. The history of identifiers reported to this device.
+    "deviceIdCollision": True or False, # Output only. The device id is potentially being used by multiple devices.
+    "lastDeviceIdCollisionDetectionTime": "A String", # Output only. The last time we detected the device id collision.
+    "records": [ # Output only. List of device identifiers sent by this device. In descending order by last_activity_time.
+      { # Record of the device identifiers and when they were reported.
+        "firstRecordTime": "A String", # Output only. The first time these identifiers were reported.
+        "identifiers": { # Collection of device identifiers. # Output only. Device identifiers.
+          "hostName": "A String", # Output only. The device's host name.
+          "machineName": "A String", # Output only. The name of the machine associated with the device.
+          "serialNumber": "A String", # Output only. The device's serial number.
+        },
+        "lastActivityTime": "A String", # Output only. The time of the last activity of these identifiers either from reporting, policy fetching or registration.
+      },
+    ],
+  },
+  "extensionCount": "A String", # Output only. The number of distinct extensions installed on all the Chrome browsers of this device.
+  "lastActivityTime": "A String", # Output only. The time of the last activity on the device device either from reporting, policy fetching or registration.
+  "lastDeviceUser": "A String", # Output only. The last user who logged into a Chrome browser on this device.
+  "lastDeviceUsers": [ # Output only. List of recent browser users, in descending order by last report time.
+    { # A Chrome browser user.
+      "lastStatusReportTime": "A String", # Output only. The time when this user info last reported a status.
+      "userName": "A String", # Output only. The user name of the user that signed into chrome.
+    },
+  ],
+  "lastPolicyFetchTime": "A String", # Output only. The time the last policy fetch succeeded on this device.
+  "lastRegistrationTime": "A String", # Output only. The time the device last tried to register.
+  "lastStatusReportTime": "A String", # Output only. The time the device last sent a status report.
+  "machineExtensionPolicies": [ # Output only. The list of all device level policies set for extensions installed in Chrome on this device.
+    { # The reported policies applied to an extension installed on a Chrome profile.
+      "extensionId": "A String", # Output only. The id of the extension the policies are applied to.
+      "extensionName": "A String", # Output only. The name of the extension the policies are applied to.
+      "policies": [ # Output only. List of policies applied to this extension.
+        { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+          "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+          "policyName": "A String", # Output only. The name of the policy.
+          "source": "A String", # Output only. The source of the policy.
+          "value": "A String", # Output only. The value of the policy.
+        },
+      ],
+    },
+  ],
+  "machineName": "A String", # Output only. Machine name.
+  "machinePolicies": [ # Output only. The list of all device level policies set for Chrome browsers on this device.
+    { # The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).
+      "error": "A String", # Output only. A localized string with all the errors reported when trying to apply this policy, if any.
+      "policyName": "A String", # Output only. The name of the policy.
+      "source": "A String", # Output only. The source of the policy.
+      "value": "A String", # Output only. The value of the policy.
+    },
+  ],
+  "name": "A String", # Identifier. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id}
+  "omahaRecentFetchTime": "A String", # Output only. Recent policy fetch activity by Omaha. Not necessarily the last fetch since this field is only updated daily.
+  "orgUnitId": "A String", # Output only. The obfuscated organizational unit ID of the browser.
+  "osArchitecture": "A String", # Output only. Device CPU architecture.
+  "osPlatform": "A String", # Output only. Device Os platform.
+  "osPlatformVersion": "A String", # Output only. Device Os platform and version combined.
+  "osVersion": "A String", # Output only. Device Os Version.
+  "policyCount": "A String", # Output only. The number of distinct policies set on all the Chrome browsers of this device.
+  "serialNumber": "A String", # Output only. The device's serial number.
+  "virtualDeviceId": "A String", # Output only. The initial device id sent by the first Chrome browser that enrolled this device.
+}

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/chromemanagement_v1.customers.enrollmentTokens.html b/docs/dyn/chromemanagement_v1.customers.enrollmentTokens.html
new file mode 100644
index 0000000000..83e4c22d83
--- /dev/null
+++ b/docs/dyn/chromemanagement_v1.customers.enrollmentTokens.html
@@ -0,0 +1,263 @@
+
+
+
+
Chrome Management API . customers . enrollmentTokens

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  create(parent, body=None, enrollmentTokenId=None, x__xgafv=None)

+
Creates a new enrollment token for a browser device. Creation fails if there is already an active token for this customer under the same org unit.

+

+  get(name, x__xgafv=None)

+
Gets a browser device enrollment token.

+

+  list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)

+
Lists all browser device enrollment tokens.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+

+  revoke(name, body=None, x__xgafv=None)

+
Revokes a browser device enrollment token.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    create(parent, body=None, enrollmentTokenId=None, x__xgafv=None)
+  
Creates a new enrollment token for a browser device. Creation fails if there is already an active token for this customer under the same org unit.
+
+Args:
+  parent: string, Required. The parent resource where this enrollment token will be created. Format: customers/{customer} (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Enrollment token for a chrome device.
+  "createTime": "A String", # Output only. The creation time of the token.
+  "creatorId": "A String", # Output only. The id of the user who created the token.
+  "customerId": "A String", # Output only. The obfuscated ID of the customer to whom this token is associated.
+  "name": "A String", # Identifier. The resource name of the enrollment token. Format: customers/{customer}/enrollmentTokens/{token_permanent_id}
+  "orgUnitId": "A String", # Optional. Obfuscated ID of the organization unit this token is associated with. If not set, the token is created for the root organization unit.
+  "revokeTime": "A String", # Output only. The revocation time of the token, null if the token is not revoked.
+  "revokerId": "A String", # Output only. The id of the user who revoked the token, null if the token is not revoked.
+  "state": "A String", # Output only. The state of the token.
+  "token": "A String", # Output only. The value of the token stored on the device and used to identify it to the management service handling the enrollment request.
+  "tokenPermanentId": "A String", # Output only. Unique identifier of the enrollment token used to access information on tokens.
+  "tokenType": "A String", # Optional. The device type this token is used for. If not set, defaults to `ENROLLMENT_TOKEN_TYPE_CHROME_BROWSER`.
+}
+
+  enrollmentTokenId: string, Optional. The ID to use for the enrollment token, which will become the final component of the enrollment token's resource name. This value must be local-unique under the customer and is optional. If not provided, it will be auto-generated. If provided, it must be 1-63 characters long and match the regular expression `[a-zA-Z0-9._-]+`.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Enrollment token for a chrome device.
+  "createTime": "A String", # Output only. The creation time of the token.
+  "creatorId": "A String", # Output only. The id of the user who created the token.
+  "customerId": "A String", # Output only. The obfuscated ID of the customer to whom this token is associated.
+  "name": "A String", # Identifier. The resource name of the enrollment token. Format: customers/{customer}/enrollmentTokens/{token_permanent_id}
+  "orgUnitId": "A String", # Optional. Obfuscated ID of the organization unit this token is associated with. If not set, the token is created for the root organization unit.
+  "revokeTime": "A String", # Output only. The revocation time of the token, null if the token is not revoked.
+  "revokerId": "A String", # Output only. The id of the user who revoked the token, null if the token is not revoked.
+  "state": "A String", # Output only. The state of the token.
+  "token": "A String", # Output only. The value of the token stored on the device and used to identify it to the management service handling the enrollment request.
+  "tokenPermanentId": "A String", # Output only. Unique identifier of the enrollment token used to access information on tokens.
+  "tokenType": "A String", # Optional. The device type this token is used for. If not set, defaults to `ENROLLMENT_TOKEN_TYPE_CHROME_BROWSER`.
+}

+

+
+

+    get(name, x__xgafv=None)
+  
Gets a browser device enrollment token.
+
+Args:
+  name: string, Required. The name of the enrollment token to retrieve. Format: customers/{customer}/enrollmentTokens/{token_permanent_id} (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Enrollment token for a chrome device.
+  "createTime": "A String", # Output only. The creation time of the token.
+  "creatorId": "A String", # Output only. The id of the user who created the token.
+  "customerId": "A String", # Output only. The obfuscated ID of the customer to whom this token is associated.
+  "name": "A String", # Identifier. The resource name of the enrollment token. Format: customers/{customer}/enrollmentTokens/{token_permanent_id}
+  "orgUnitId": "A String", # Optional. Obfuscated ID of the organization unit this token is associated with. If not set, the token is created for the root organization unit.
+  "revokeTime": "A String", # Output only. The revocation time of the token, null if the token is not revoked.
+  "revokerId": "A String", # Output only. The id of the user who revoked the token, null if the token is not revoked.
+  "state": "A String", # Output only. The state of the token.
+  "token": "A String", # Output only. The value of the token stored on the device and used to identify it to the management service handling the enrollment request.
+  "tokenPermanentId": "A String", # Output only. Unique identifier of the enrollment token used to access information on tokens.
+  "tokenType": "A String", # Optional. The device type this token is used for. If not set, defaults to `ENROLLMENT_TOKEN_TYPE_CHROME_BROWSER`.
+}

+

+
+

+    list(parent, filter=None, pageSize=None, pageToken=None, x__xgafv=None)
+  
Lists all browser device enrollment tokens.
+
+Args:
+  parent: string, Required. The parent resource where this enrollment token will be created. Format: customers/{customer} (required)
+  filter: string, Optional. Filter to apply to list results. The following fields can be used in the filter: * device_type (currently only 'CHROME_BROWSER' is supported) * token_state (supported values: 'ACTIVE', 'EXPIRED', 'REVOKED') * org_unit_path The full path of the org unit, such as /Montreal/Sales. * org_unit_id The obfuscated id of the org unit, not the full path.
+  pageSize: integer, Optional. Maximum number of results to return. Maximum and default are 100.
+  pageToken: string, Optional. Token to specify next page in the list.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response that contains a list of tokens.
+  "enrollmentTokens": [ # List of Chrome device enrollment tokens.
+    { # Enrollment token for a chrome device.
+      "createTime": "A String", # Output only. The creation time of the token.
+      "creatorId": "A String", # Output only. The id of the user who created the token.
+      "customerId": "A String", # Output only. The obfuscated ID of the customer to whom this token is associated.
+      "name": "A String", # Identifier. The resource name of the enrollment token. Format: customers/{customer}/enrollmentTokens/{token_permanent_id}
+      "orgUnitId": "A String", # Optional. Obfuscated ID of the organization unit this token is associated with. If not set, the token is created for the root organization unit.
+      "revokeTime": "A String", # Output only. The revocation time of the token, null if the token is not revoked.
+      "revokerId": "A String", # Output only. The id of the user who revoked the token, null if the token is not revoked.
+      "state": "A String", # Output only. The state of the token.
+      "token": "A String", # Output only. The value of the token stored on the device and used to identify it to the management service handling the enrollment request.
+      "tokenPermanentId": "A String", # Output only. Unique identifier of the enrollment token used to access information on tokens.
+      "tokenType": "A String", # Optional. The device type this token is used for. If not set, defaults to `ENROLLMENT_TOKEN_TYPE_CHROME_BROWSER`.
+    },
+  ],
+  "nextPageToken": "A String", # Token to retrieve the next page of results, or empty if there are no more results in the list.
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+

+    revoke(name, body=None, x__xgafv=None)
+  
Revokes a browser device enrollment token.
+
+Args:
+  name: string, Required. The name of the enrollment token to revoke. Format: customers/{customer}/enrollmentTokens/{token_permanent_id} (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request to revoke a token.
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Enrollment token for a chrome device.
+  "createTime": "A String", # Output only. The creation time of the token.
+  "creatorId": "A String", # Output only. The id of the user who created the token.
+  "customerId": "A String", # Output only. The obfuscated ID of the customer to whom this token is associated.
+  "name": "A String", # Identifier. The resource name of the enrollment token. Format: customers/{customer}/enrollmentTokens/{token_permanent_id}
+  "orgUnitId": "A String", # Optional. Obfuscated ID of the organization unit this token is associated with. If not set, the token is created for the root organization unit.
+  "revokeTime": "A String", # Output only. The revocation time of the token, null if the token is not revoked.
+  "revokerId": "A String", # Output only. The id of the user who revoked the token, null if the token is not revoked.
+  "state": "A String", # Output only. The state of the token.
+  "token": "A String", # Output only. The value of the token stored on the device and used to identify it to the management service handling the enrollment request.
+  "tokenPermanentId": "A String", # Output only. Unique identifier of the enrollment token used to access information on tokens.
+  "tokenType": "A String", # Optional. The device type this token is used for. If not set, defaults to `ENROLLMENT_TOKEN_TYPE_CHROME_BROWSER`.
+}

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/chromemanagement_v1.customers.html b/docs/dyn/chromemanagement_v1.customers.html
index af370e4627..3668426a4d 100644
--- a/docs/dyn/chromemanagement_v1.customers.html
+++ b/docs/dyn/chromemanagement_v1.customers.html
@@ -84,11 +84,21 @@ 
Instance Methods

 

 
Returns the certificateProvisioningProcesses Resource.

 
+

+  chromeBrowsers()
+

+
Returns the chromeBrowsers Resource.

+
 

   connectorConfigs()
 

 
Returns the connectorConfigs Resource.

 
+

+  enrollmentTokens()
+

+
Returns the enrollmentTokens Resource.

+
 

   enterprise()
 

diff --git a/googleapiclient/discovery_cache/documents/chromemanagement.v1.json b/googleapiclient/discovery_cache/documents/chromemanagement.v1.json
index c4e6215824..be46c87b8b 100644
--- a/googleapiclient/discovery_cache/documents/chromemanagement.v1.json
+++ b/googleapiclient/discovery_cache/documents/chromemanagement.v1.json
@@ -510,6 +510,153 @@
 }
 }
 },
+"chromeBrowsers": {
+"methods": {
+"delete": {
+"description": "Deletes the data collected from a Chrome browser profile.",
+"flatPath": "v1/customers/{customersId}/chromeBrowsers/{chromeBrowsersId}",
+"httpMethod": "DELETE",
+"id": "chromemanagement.customers.chromeBrowsers.delete",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id}",
+"location": "path",
+"pattern": "^customers/[^/]+/chromeBrowsers/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}",
+"response": {
+"$ref": "GoogleProtobufEmpty"
+}
+},
+"get": {
+"description": "Retrieves a single Chrome Browser identified by its customer ID and resource ID.",
+"flatPath": "v1/customers/{customersId}/chromeBrowsers/{chromeBrowsersId}",
+"httpMethod": "GET",
+"id": "chromemanagement.customers.chromeBrowsers.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id}",
+"location": "path",
+"pattern": "^customers/[^/]+/chromeBrowsers/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}",
+"response": {
+"$ref": "GoogleChromeManagementVersionsV1ChromeBrowser"
+}
+},
+"list": {
+"description": "Retrieves all Chrome Browsers of a customer (paginated).",
+"flatPath": "v1/customers/{customersId}/chromeBrowsers",
+"httpMethod": "GET",
+"id": "chromemanagement.customers.chromeBrowsers.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"filter": {
+"description": "Optional. The filter used to filter browsers. The following fields can be used in the filter: * `browser_permanent_id` * `last_policy_fetch_time` * `os_platform` * `os_architecture` * `os_version` * `machine_name` * `annotated_location` * `annotated_user` * `annotated_asset_id` * `annotated_note` * `org_unit_path` * `org_unit_id` * `last_registration_time` * `os_platform_version` * `browser_version` * `last_status_report_time` * `extension_count` * `policy_count` * `last_device_user` * `last_activity_time` * `device_id_collision` The following functions can be used in the filter: * `in_group(string)`: Filters browsers that belong to the specified Cloud Identity group resource name (e.g. `in_group(\"groups/{group_id}\")`). Any of the above fields or functions can be used to specify a filter, and filtering by multiple fields or functions is supported with AND operator. String type, Integer type fields and enum type fields support `=` and `:` operators. The timestamp type fields support `=`, `<=` and `>=` operators. Timestamps expect an RFC-3339 formatted string (e.g. 2012-04-21T11:30:00-04:00). Wildcard `*` is only supported for `machine_name`, `annotated_asset_id`, and `browser_version`. In addition, global string literal filtering without a field name is supported: a single term (e.g., `ABC`) matches if any indexed string field contains `ABC`, and multiple terms joined by `AND` or whitespace (e.g., `machine AND 73` or `machine 73`) match browsers where every term appears in at least one indexed string field (whereas a single quoted phrase like `\"machine 73\"` matches the contiguous phrase within a single field).",
+"location": "query",
+"type": "string"
+},
+"orderBy": {
+"description": "Optional. The fields used to specify the ordering of the results. The supported fields are: * `browser_permanent_id` * `last_sync` * `annotated_user` * `annotated_location` * `annotated_asset_id` * `annotated_notes` * `org_unit_path` * `os_version` * `enrollment_date` * `extension_count` * `policy_count` * `last_signed_in_user` * `machine_name` * `browser_version_channel` * `os_platform_version` * `last_activity_time` * `browser_version` By default, sorting is in ascending order, to specify descending order for a field, a suffix ` desc` should be added to the field name. The default ordering is the descending order of `last_status_report_time`.",
+"location": "query",
+"type": "string"
+},
+"pageSize": {
+"description": "Optional. Maximum number of results to return. Maximum and default are 100.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. Token to specify next page in the list.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. Format: customers/{customer_id}",
+"location": "path",
+"pattern": "^customers/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+parent}/chromeBrowsers",
+"response": {
+"$ref": "GoogleChromeManagementVersionsV1ListChromeBrowsersResponse"
+}
+},
+"move": {
+"description": "Moves managed Chrome Browsers to a new Organizational Unit (OU). If there is an error while moving any of the browsers, none of the browsers will be moved.",
+"flatPath": "v1/customers/{customersId}/chromeBrowsers:move",
+"httpMethod": "POST",
+"id": "chromemanagement.customers.chromeBrowsers.move",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"parent": {
+"description": "Required. Format: customers/{customer_id}",
+"location": "path",
+"pattern": "^customers/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+parent}/chromeBrowsers:move",
+"request": {
+"$ref": "GoogleChromeManagementVersionsV1MoveChromeBrowsersRequest"
+},
+"response": {
+"$ref": "GoogleChromeManagementVersionsV1MoveChromeBrowsersResponse"
+}
+},
+"patch": {
+"description": "Updates annotation information for a Chrome Browser.",
+"flatPath": "v1/customers/{customersId}/chromeBrowsers/{chromeBrowsersId}",
+"httpMethod": "PATCH",
+"id": "chromemanagement.customers.chromeBrowsers.patch",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Identifier. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id}",
+"location": "path",
+"pattern": "^customers/[^/]+/chromeBrowsers/[^/]+$",
+"required": true,
+"type": "string"
+},
+"updateMask": {
+"description": "Optional. The update mask that can be used to specify which fields to update.",
+"format": "google-fieldmask",
+"location": "query",
+"type": "string"
+}
+},
+"path": "v1/{+name}",
+"request": {
+"$ref": "GoogleChromeManagementVersionsV1ChromeBrowser"
+},
+"response": {
+"$ref": "GoogleChromeManagementVersionsV1ChromeBrowser"
+}
+}
+}
+},
 "connectorConfigs": {
 "methods": {
 "create": {
@@ -652,6 +799,125 @@
 }
 }
 },
+"enrollmentTokens": {
+"methods": {
+"create": {
+"description": "Creates a new enrollment token for a browser device. Creation fails if there is already an active token for this customer under the same org unit.",
+"flatPath": "v1/customers/{customersId}/enrollmentTokens",
+"httpMethod": "POST",
+"id": "chromemanagement.customers.enrollmentTokens.create",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"enrollmentTokenId": {
+"description": "Optional. The ID to use for the enrollment token, which will become the final component of the enrollment token's resource name. This value must be local-unique under the customer and is optional. If not provided, it will be auto-generated. If provided, it must be 1-63 characters long and match the regular expression `[a-zA-Z0-9._-]+`.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent resource where this enrollment token will be created. Format: customers/{customer}",
+"location": "path",
+"pattern": "^customers/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+parent}/enrollmentTokens",
+"request": {
+"$ref": "GoogleChromeManagementVersionsV1EnrollmentToken"
+},
+"response": {
+"$ref": "GoogleChromeManagementVersionsV1EnrollmentToken"
+}
+},
+"get": {
+"description": "Gets a browser device enrollment token.",
+"flatPath": "v1/customers/{customersId}/enrollmentTokens/{enrollmentTokensId}",
+"httpMethod": "GET",
+"id": "chromemanagement.customers.enrollmentTokens.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. The name of the enrollment token to retrieve. Format: customers/{customer}/enrollmentTokens/{token_permanent_id}",
+"location": "path",
+"pattern": "^customers/[^/]+/enrollmentTokens/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}",
+"response": {
+"$ref": "GoogleChromeManagementVersionsV1EnrollmentToken"
+}
+},
+"list": {
+"description": "Lists all browser device enrollment tokens.",
+"flatPath": "v1/customers/{customersId}/enrollmentTokens",
+"httpMethod": "GET",
+"id": "chromemanagement.customers.enrollmentTokens.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"filter": {
+"description": "Optional. Filter to apply to list results. The following fields can be used in the filter: * device_type (currently only 'CHROME_BROWSER' is supported) * token_state (supported values: 'ACTIVE', 'EXPIRED', 'REVOKED') * org_unit_path The full path of the org unit, such as /Montreal/Sales. * org_unit_id The obfuscated id of the org unit, not the full path.",
+"location": "query",
+"type": "string"
+},
+"pageSize": {
+"description": "Optional. Maximum number of results to return. Maximum and default are 100.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. Token to specify next page in the list.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent resource where this enrollment token will be created. Format: customers/{customer}",
+"location": "path",
+"pattern": "^customers/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+parent}/enrollmentTokens",
+"response": {
+"$ref": "GoogleChromeManagementVersionsV1ListEnrollmentTokensResponse"
+}
+},
+"revoke": {
+"description": "Revokes a browser device enrollment token.",
+"flatPath": "v1/customers/{customersId}/enrollmentTokens/{enrollmentTokensId}:revoke",
+"httpMethod": "POST",
+"id": "chromemanagement.customers.enrollmentTokens.revoke",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Required. The name of the enrollment token to revoke. Format: customers/{customer}/enrollmentTokens/{token_permanent_id}",
+"location": "path",
+"pattern": "^customers/[^/]+/enrollmentTokens/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+name}:revoke",
+"request": {
+"$ref": "GoogleChromeManagementVersionsV1RevokeEnrollmentTokenRequest"
+},
+"response": {
+"$ref": "GoogleChromeManagementVersionsV1EnrollmentToken"
+}
+}
+}
+},
 "enterprise": {
 "resources": {
 "securityInsights": {
@@ -2557,7 +2823,7 @@
 }
 }
 },
-"revision": "20260930",
+"revision": "20261008",
 "rootUrl": "https://chromemanagement.googleapis.com/",
 "schemas": {
 "GoogleChromeManagementV1AndroidAppInfo": {
@@ -6941,58 +7207,145 @@ false
 },
 "type": "object"
 },
-"GoogleChromeManagementVersionsV1CertificateProvisioningProcess": {
-"description": "A certificate provisioning process.",
-"id": "GoogleChromeManagementVersionsV1CertificateProvisioningProcess",
+"GoogleChromeManagementVersionsV1Browser": {
+"description": "A specific installation of Chrome on a device with managed Chrome browsers.",
+"id": "GoogleChromeManagementVersionsV1Browser",
 "properties": {
-"chromeOsDevice": {
-"$ref": "GoogleChromeManagementVersionsV1ChromeOsDevice",
-"description": "Output only. The client certificate is being provisioned for a ChromeOS device. This contains information about the device.",
-"readOnly": true
-},
-"chromeOsUserSession": {
-"$ref": "GoogleChromeManagementVersionsV1ChromeOsUserSession",
-"description": "Output only. The client certificate is being provisioned for a ChromeOS user. This contains information about the current user session.",
-"readOnly": true
-},
-"failureMessage": {
-"description": "Output only. A message describing why this `CertificateProvisioningProcess` has failed. Presence of this field indicates that the `CertificateProvisioningProcess` has failed.",
+"browserVersion": {
+"description": "Output only. Browser version installed.",
 "readOnly": true,
 "type": "string"
 },
-"genericCaConnection": {
-"$ref": "GoogleChromeManagementVersionsV1GenericCaConnection",
-"description": "Output only. The CA connection is a generic CA connection.",
-"readOnly": true
+"channel": {
+"description": "Output only. The channel of the browser installed.",
+"enum": [
+"CHANNEL_UNSPECIFIED",
+"CHANNEL_STABLE",
+"CHANNEL_BETA",
+"CHANNEL_DEV",
+"CHANNEL_CANARY"
+],
+"enumDescriptions": [
+"Represents an unspecified channel.",
+"Represents a stable channel.",
+"Represents a beta channel.",
+"Represents a dev channel.",
+"Represents a canary channel."
+],
+"readOnly": true,
+"type": "string"
 },
-"genericProfile": {
-"$ref": "GoogleChromeManagementVersionsV1GenericProfile",
-"description": "Output only. The profile is a generic certificate provisioning profile.",
-"readOnly": true
+"executablePath": {
+"description": "Output only. The path to the Chrome.exe executable for this browser.",
+"readOnly": true,
+"type": "string"
 },
-"issuedCertificate": {
-"description": "Output only. The issued certificate for this `CertificateProvisioningProcess` in PEM format.",
+"lastPolicyFetchTime": {
+"description": "Output only. The time when the last request to fetch policies succeeded on this Chrome browser.",
+"format": "google-datetime",
 "readOnly": true,
 "type": "string"
 },
-"name": {
-"description": "Identifier. Resource name of the `CertificateProvisioningProcess`. The name pattern is given as `customers/{customer}/certificateProvisioningProcesses/{certificate_provisioning_process}` with `{customer}` being the obfuscated customer id and `{certificate_provisioning_process}` being the certificate provisioning process id.",
+"lastStatusReportTime": {
+"description": "Output only. The time when the last report was received from this Chrome browser.",
+"format": "google-datetime",
+"readOnly": true,
 "type": "string"
 },
-"provisioningProfileId": {
-"description": "Output only. The ID of the certificate provisioning profile.",
+"pendingInstallVersion": {
+"description": "Output only. Pending version of a browser is installed. This field is only set when the current active browser has a different version as in \"browser_version\".",
 "readOnly": true,
 "type": "string"
 },
-"scepCaConnection": {
-"$ref": "GoogleChromeManagementVersionsV1ScepCaConnection",
-"description": "Output only. The CA connection is a SCEP CA connection.",
-"readOnly": true
+"plugins": {
+"description": "Output only. List of all plugins installed on this Chrome browser.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1Plugin"
 },
-"scepProfile": {
-"$ref": "GoogleChromeManagementVersionsV1ScepProfile",
-"description": "Output only. The profile is a SCEP certificate provisioning profile.",
-"readOnly": true
+"readOnly": true,
+"type": "array"
+},
+"profiles": {
+"description": "Output only. The list of profiles for this browser.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1Profile"
+},
+"readOnly": true,
+"type": "array"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1BrowserUser": {
+"description": "A Chrome browser user.",
+"id": "GoogleChromeManagementVersionsV1BrowserUser",
+"properties": {
+"lastStatusReportTime": {
+"description": "Output only. The time when this user info last reported a status.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"userName": {
+"description": "Output only. The user name of the user that signed into chrome.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1CertificateProvisioningProcess": {
+"description": "A certificate provisioning process.",
+"id": "GoogleChromeManagementVersionsV1CertificateProvisioningProcess",
+"properties": {
+"chromeOsDevice": {
+"$ref": "GoogleChromeManagementVersionsV1ChromeOsDevice",
+"description": "Output only. The client certificate is being provisioned for a ChromeOS device. This contains information about the device.",
+"readOnly": true
+},
+"chromeOsUserSession": {
+"$ref": "GoogleChromeManagementVersionsV1ChromeOsUserSession",
+"description": "Output only. The client certificate is being provisioned for a ChromeOS user. This contains information about the current user session.",
+"readOnly": true
+},
+"failureMessage": {
+"description": "Output only. A message describing why this `CertificateProvisioningProcess` has failed. Presence of this field indicates that the `CertificateProvisioningProcess` has failed.",
+"readOnly": true,
+"type": "string"
+},
+"genericCaConnection": {
+"$ref": "GoogleChromeManagementVersionsV1GenericCaConnection",
+"description": "Output only. The CA connection is a generic CA connection.",
+"readOnly": true
+},
+"genericProfile": {
+"$ref": "GoogleChromeManagementVersionsV1GenericProfile",
+"description": "Output only. The profile is a generic certificate provisioning profile.",
+"readOnly": true
+},
+"issuedCertificate": {
+"description": "Output only. The issued certificate for this `CertificateProvisioningProcess` in PEM format.",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "Identifier. Resource name of the `CertificateProvisioningProcess`. The name pattern is given as `customers/{customer}/certificateProvisioningProcesses/{certificate_provisioning_process}` with `{customer}` being the obfuscated customer id and `{certificate_provisioning_process}` being the certificate provisioning process id.",
+"type": "string"
+},
+"provisioningProfileId": {
+"description": "Output only. The ID of the certificate provisioning profile.",
+"readOnly": true,
+"type": "string"
+},
+"scepCaConnection": {
+"$ref": "GoogleChromeManagementVersionsV1ScepCaConnection",
+"description": "Output only. The CA connection is a SCEP CA connection.",
+"readOnly": true
+},
+"scepProfile": {
+"$ref": "GoogleChromeManagementVersionsV1ScepProfile",
+"description": "Output only. The profile is a SCEP certificate provisioning profile.",
+"readOnly": true
 },
 "signData": {
 "description": "Output only. The data that the client was asked to sign. This field is only present after the `SignData` operation has been initiated.",
@@ -7057,6 +7410,175 @@ false
 },
 "type": "object"
 },
+"GoogleChromeManagementVersionsV1ChromeBrowser": {
+"description": "A device with managed Chrome Browsers.",
+"id": "GoogleChromeManagementVersionsV1ChromeBrowser",
+"properties": {
+"annotatedAssetId": {
+"description": "Optional. Asset identifier as annotated by the administrator or specified during enrollment.",
+"type": "string"
+},
+"annotatedLocation": {
+"description": "Optional. Address or location of the device as annotated by the administrator.",
+"type": "string"
+},
+"annotatedNotes": {
+"description": "Optional. Notes about this device as annotated by the administrator.",
+"type": "string"
+},
+"annotatedUser": {
+"description": "Optional. User of the device as annotated by the administrator.",
+"type": "string"
+},
+"attestationCredential": {
+"$ref": "GoogleChromeManagementVersionsV1AttestationCredential",
+"description": "Output only. The attestation credential used for Device Trust Connector.",
+"readOnly": true
+},
+"browserPermanentId": {
+"description": "Output only. Unique identifier of Chrome Browser.",
+"readOnly": true,
+"type": "string"
+},
+"browserVersions": {
+"description": "Output only. List of all browser versions installed on this device.",
+"items": {
+"type": "string"
+},
+"readOnly": true,
+"type": "array"
+},
+"browsers": {
+"description": "Output only. List of Chrome browsers installed on this device.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1Browser"
+},
+"readOnly": true,
+"type": "array"
+},
+"deviceIdentifiersHistory": {
+"$ref": "GoogleChromeManagementVersionsV1DeviceIdentifiersHistory",
+"description": "Output only. The history of identifiers reported to this device.",
+"readOnly": true
+},
+"extensionCount": {
+"description": "Output only. The number of distinct extensions installed on all the Chrome browsers of this device.",
+"format": "int64",
+"readOnly": true,
+"type": "string"
+},
+"lastActivityTime": {
+"description": "Output only. The time of the last activity on the device device either from reporting, policy fetching or registration.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"lastDeviceUser": {
+"description": "Output only. The last user who logged into a Chrome browser on this device.",
+"readOnly": true,
+"type": "string"
+},
+"lastDeviceUsers": {
+"description": "Output only. List of recent browser users, in descending order by last report time.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1BrowserUser"
+},
+"readOnly": true,
+"type": "array"
+},
+"lastPolicyFetchTime": {
+"description": "Output only. The time the last policy fetch succeeded on this device.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"lastRegistrationTime": {
+"description": "Output only. The time the device last tried to register.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"lastStatusReportTime": {
+"description": "Output only. The time the device last sent a status report.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"machineExtensionPolicies": {
+"description": "Output only. The list of all device level policies set for extensions installed in Chrome on this device.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1ExtensionPolicy"
+},
+"readOnly": true,
+"type": "array"
+},
+"machineName": {
+"description": "Output only. Machine name.",
+"readOnly": true,
+"type": "string"
+},
+"machinePolicies": {
+"description": "Output only. The list of all device level policies set for Chrome browsers on this device.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1Policy"
+},
+"readOnly": true,
+"type": "array"
+},
+"name": {
+"description": "Identifier. Format: customers/{customer_id}/chromeBrowsers/{browser_permanent_id}",
+"type": "string"
+},
+"omahaRecentFetchTime": {
+"description": "Output only. Recent policy fetch activity by Omaha. Not necessarily the last fetch since this field is only updated daily.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"orgUnitId": {
+"description": "Output only. The obfuscated organizational unit ID of the browser.",
+"readOnly": true,
+"type": "string"
+},
+"osArchitecture": {
+"description": "Output only. Device CPU architecture.",
+"readOnly": true,
+"type": "string"
+},
+"osPlatform": {
+"description": "Output only. Device Os platform.",
+"readOnly": true,
+"type": "string"
+},
+"osPlatformVersion": {
+"description": "Output only. Device Os platform and version combined.",
+"readOnly": true,
+"type": "string"
+},
+"osVersion": {
+"description": "Output only. Device Os Version.",
+"readOnly": true,
+"type": "string"
+},
+"policyCount": {
+"description": "Output only. The number of distinct policies set on all the Chrome browsers of this device.",
+"format": "int64",
+"readOnly": true,
+"type": "string"
+},
+"serialNumber": {
+"description": "Output only. The device's serial number.",
+"readOnly": true,
+"type": "string"
+},
+"virtualDeviceId": {
+"description": "Output only. The initial device id sent by the first Chrome browser that enrolled this device.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleChromeManagementVersionsV1ChromeBrowserProfile": {
 "description": "A representation of a Chrome browser profile.",
 "id": "GoogleChromeManagementVersionsV1ChromeBrowserProfile",
@@ -7630,6 +8152,78 @@ false
 },
 "type": "object"
 },
+"GoogleChromeManagementVersionsV1DeviceIdentifiers": {
+"description": "Collection of device identifiers.",
+"id": "GoogleChromeManagementVersionsV1DeviceIdentifiers",
+"properties": {
+"hostName": {
+"description": "Output only. The device's host name.",
+"readOnly": true,
+"type": "string"
+},
+"machineName": {
+"description": "Output only. The name of the machine associated with the device.",
+"readOnly": true,
+"type": "string"
+},
+"serialNumber": {
+"description": "Output only. The device's serial number.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1DeviceIdentifiersHistory": {
+"description": "History of device identifiers reported from a device.",
+"id": "GoogleChromeManagementVersionsV1DeviceIdentifiersHistory",
+"properties": {
+"deviceIdCollision": {
+"description": "Output only. The device id is potentially being used by multiple devices.",
+"readOnly": true,
+"type": "boolean"
+},
+"lastDeviceIdCollisionDetectionTime": {
+"description": "Output only. The last time we detected the device id collision.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"records": {
+"description": "Output only. List of device identifiers sent by this device. In descending order by last_activity_time.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1DeviceIdentifiersRecord"
+},
+"readOnly": true,
+"type": "array"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1DeviceIdentifiersRecord": {
+"description": "Record of the device identifiers and when they were reported.",
+"id": "GoogleChromeManagementVersionsV1DeviceIdentifiersRecord",
+"properties": {
+"firstRecordTime": {
+"description": "Output only. The first time these identifiers were reported.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"identifiers": {
+"$ref": "GoogleChromeManagementVersionsV1DeviceIdentifiers",
+"description": "Output only. Device identifiers.",
+"readOnly": true
+},
+"lastActivityTime": {
+"description": "Output only. The time of the last activity of these identifiers either from reporting, policy fetching or registration.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleChromeManagementVersionsV1DeviceInfo": {
 "description": "Information of a device that runs a Chrome browser profile.",
 "id": "GoogleChromeManagementVersionsV1DeviceInfo",
@@ -7790,27 +8384,269 @@ false
 },
 "type": "object"
 },
-"GoogleChromeManagementVersionsV1GenericCaConnection": {
-"description": "Describes a generic Certificate Authority Connection.",
-"id": "GoogleChromeManagementVersionsV1GenericCaConnection",
+"GoogleChromeManagementVersionsV1EnrollmentToken": {
+"description": "Enrollment token for a chrome device.",
+"id": "GoogleChromeManagementVersionsV1EnrollmentToken",
 "properties": {
-"caConnectionAdapterConfigReference": {
-"description": "Output only. A string that references the administrator-provided configuration for the certification authority service.",
+"createTime": {
+"description": "Output only. The creation time of the token.",
+"format": "google-datetime",
 "readOnly": true,
 "type": "string"
-}
-},
-"type": "object"
 },
-"GoogleChromeManagementVersionsV1GenericProfile": {
-"description": "Describes a generic certificate provisioning profile.",
-"id": "GoogleChromeManagementVersionsV1GenericProfile",
-"properties": {
-"profileAdapterConfigReference": {
-"description": "Output only. A string that references the administrator-provided configuration for the certificate provisioning profile.",
+"creatorId": {
+"description": "Output only. The id of the user who created the token.",
 "readOnly": true,
 "type": "string"
-}
+},
+"customerId": {
+"description": "Output only. The obfuscated ID of the customer to whom this token is associated.",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "Identifier. The resource name of the enrollment token. Format: customers/{customer}/enrollmentTokens/{token_permanent_id}",
+"type": "string"
+},
+"orgUnitId": {
+"description": "Optional. Obfuscated ID of the organization unit this token is associated with. If not set, the token is created for the root organization unit.",
+"type": "string"
+},
+"revokeTime": {
+"description": "Output only. The revocation time of the token, null if the token is not revoked.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"revokerId": {
+"description": "Output only. The id of the user who revoked the token, null if the token is not revoked.",
+"readOnly": true,
+"type": "string"
+},
+"state": {
+"description": "Output only. The state of the token.",
+"enum": [
+"ENROLLMENT_TOKEN_STATE_UNSPECIFIED",
+"ENROLLMENT_TOKEN_STATE_ACTIVE",
+"ENROLLMENT_TOKEN_STATE_EXPIRED",
+"ENROLLMENT_TOKEN_STATE_REVOKED"
+],
+"enumDescriptions": [
+"Unknown token state.",
+"The token is still active and valid.",
+"The token has expired.",
+"The token has been revoked by user."
+],
+"readOnly": true,
+"type": "string"
+},
+"token": {
+"description": "Output only. The value of the token stored on the device and used to identify it to the management service handling the enrollment request.",
+"readOnly": true,
+"type": "string"
+},
+"tokenPermanentId": {
+"description": "Output only. Unique identifier of the enrollment token used to access information on tokens.",
+"readOnly": true,
+"type": "string"
+},
+"tokenType": {
+"description": "Optional. The device type this token is used for. If not set, defaults to `ENROLLMENT_TOKEN_TYPE_CHROME_BROWSER`.",
+"enum": [
+"ENROLLMENT_TOKEN_TYPE_UNSPECIFIED",
+"ENROLLMENT_TOKEN_TYPE_CHROME_BROWSER"
+],
+"enumDescriptions": [
+"Unknown token device type.",
+"The token is used to enroll a Chrome Browser device."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1Extension": {
+"description": "Information about extensions installed on profile reported on an installed Chrome on a device with managed chrome browsers.",
+"id": "GoogleChromeManagementVersionsV1Extension",
+"properties": {
+"appType": {
+"description": "Output only. The type of the extension.",
+"enum": [
+"EXTENSION_TYPE_UNSPECIFIED",
+"EXTENSION",
+"APP",
+"THEME",
+"HOSTED_APP"
+],
+"enumDescriptions": [
+"Represents an unspecified extension type.",
+"Represents an extension.",
+"Represents an app.",
+"Represents a theme.",
+"Represents a hosted app."
+],
+"readOnly": true,
+"type": "string"
+},
+"configuredAppPolicy": {
+"description": "Output only. If the extension is controlled by a browser policy.",
+"enum": [
+"CONFIGURED_APP_POLICY_UNSPECIFIED",
+"CONFIGURED_APP_POLICY_NONE",
+"CONFIGURED_APP_POLICY_SHOULD_FORCE",
+"CONFIGURED_APP_POLICY_SHOULD_BLOCK"
+],
+"enumDescriptions": [
+"Represents an unspecified configured app policy.",
+"Represents no configured app policy.",
+"Represents an extension that should be forced.",
+"Represents an extension that should be blocked."
+],
+"readOnly": true,
+"type": "string"
+},
+"description": {
+"description": "Output only. The localized description of this extension.",
+"readOnly": true,
+"type": "string"
+},
+"disabled": {
+"description": "Output only. Whether the extension is disabled.",
+"readOnly": true,
+"type": "boolean"
+},
+"extensionId": {
+"description": "Output only. The id of the extension.",
+"readOnly": true,
+"type": "string"
+},
+"extensionName": {
+"description": "Output only. The localized name of this extension as reported by Chrome.",
+"readOnly": true,
+"type": "string"
+},
+"homepageUri": {
+"description": "Output only. The URL of the homepage for this extension.",
+"readOnly": true,
+"type": "string"
+},
+"icons": {
+"description": "Output only. The list of icons available for this extension.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1ExtensionIcon"
+},
+"readOnly": true,
+"type": "array"
+},
+"installType": {
+"description": "Output only. The way the extension was installed.",
+"enum": [
+"INSTALLATION_TYPE_UNSPECIFIED",
+"MULTIPLE",
+"NORMAL",
+"ADMIN",
+"DEVELOPMENT",
+"SIDELOAD",
+"OTHER"
+],
+"enumDescriptions": [
+"Represents an unspecified installation type.",
+"Represents instances of the extension having mixed installation types.",
+"Represents a normal installation type.",
+"Represents an installation by admin.",
+"Represents a development installation type.",
+"Represents a sideload installation type.",
+"Represents an installation type that is not covered in the other options."
+],
+"readOnly": true,
+"type": "string"
+},
+"manifestVersion": {
+"description": "Output only. The manifest version of this extension.",
+"format": "int32",
+"readOnly": true,
+"type": "integer"
+},
+"permissions": {
+"description": "Output only. The list of permissions required for this extension.",
+"items": {
+"type": "string"
+},
+"readOnly": true,
+"type": "array"
+},
+"version": {
+"description": "Output only. The version of the extension.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1ExtensionIcon": {
+"description": "An icon of a Chrome browser extension.",
+"id": "GoogleChromeManagementVersionsV1ExtensionIcon",
+"properties": {
+"size": {
+"description": "Output only. The size of the extension icon.",
+"format": "int32",
+"readOnly": true,
+"type": "integer"
+},
+"uri": {
+"description": "Output only. The URL to the extension icon.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1ExtensionPolicy": {
+"description": "The reported policies applied to an extension installed on a Chrome profile.",
+"id": "GoogleChromeManagementVersionsV1ExtensionPolicy",
+"properties": {
+"extensionId": {
+"description": "Output only. The id of the extension the policies are applied to.",
+"readOnly": true,
+"type": "string"
+},
+"extensionName": {
+"description": "Output only. The name of the extension the policies are applied to.",
+"readOnly": true,
+"type": "string"
+},
+"policies": {
+"description": "Output only. List of policies applied to this extension.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1Policy"
+},
+"readOnly": true,
+"type": "array"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1GenericCaConnection": {
+"description": "Describes a generic Certificate Authority Connection.",
+"id": "GoogleChromeManagementVersionsV1GenericCaConnection",
+"properties": {
+"caConnectionAdapterConfigReference": {
+"description": "Output only. A string that references the administrator-provided configuration for the certification authority service.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1GenericProfile": {
+"description": "Describes a generic certificate provisioning profile.",
+"id": "GoogleChromeManagementVersionsV1GenericProfile",
+"properties": {
+"profileAdapterConfigReference": {
+"description": "Output only. A string that references the administrator-provided configuration for the certificate provisioning profile.",
+"readOnly": true,
+"type": "string"
+}
 },
 "type": "object"
 },
@@ -7879,6 +8715,24 @@ false
 },
 "type": "object"
 },
+"GoogleChromeManagementVersionsV1ListChromeBrowsersResponse": {
+"description": "Response to ListChromeBrowsers method.",
+"id": "GoogleChromeManagementVersionsV1ListChromeBrowsersResponse",
+"properties": {
+"chromeBrowsers": {
+"description": "List of Chrome Browser device objects.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1ChromeBrowser"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "Token used to access next page of this result.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleChromeManagementVersionsV1ListConnectorConfigsResponse": {
 "description": "Response to ListConnectorConfigs method.",
 "id": "GoogleChromeManagementVersionsV1ListConnectorConfigsResponse",
@@ -7897,6 +8751,24 @@ false
 },
 "type": "object"
 },
+"GoogleChromeManagementVersionsV1ListEnrollmentTokensResponse": {
+"description": "Response that contains a list of tokens.",
+"id": "GoogleChromeManagementVersionsV1ListEnrollmentTokensResponse",
+"properties": {
+"enrollmentTokens": {
+"description": "List of Chrome device enrollment tokens.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1EnrollmentToken"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "Token to retrieve the next page of results, or empty if there are no more results in the list.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleChromeManagementVersionsV1MipLabelConfig": {
 "description": "MIP label connector config.",
 "id": "GoogleChromeManagementVersionsV1MipLabelConfig",
@@ -7915,6 +8787,30 @@ false
 },
 "type": "object"
 },
+"GoogleChromeManagementVersionsV1MoveChromeBrowsersRequest": {
+"description": "Request to MoveChromeBrowsers method.",
+"id": "GoogleChromeManagementVersionsV1MoveChromeBrowsersRequest",
+"properties": {
+"destinationOrgUnitId": {
+"description": "Required. ID of the destination organizational unit.",
+"type": "string"
+},
+"resourceIds": {
+"description": "Required. List of resource IDs of Chrome Browser Devices to move. A maximum of 600 browsers may be moved per request.",
+"items": {
+"type": "string"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1MoveChromeBrowsersResponse": {
+"description": "Response to MoveChromeBrowsers method.",
+"id": "GoogleChromeManagementVersionsV1MoveChromeBrowsersResponse",
+"properties": {},
+"type": "object"
+},
 "GoogleChromeManagementVersionsV1MoveThirdPartyProfileUserRequest": {
 "description": "Request to MoveThirdPartyProfileUser method.",
 "id": "GoogleChromeManagementVersionsV1MoveThirdPartyProfileUserRequest",
@@ -7957,6 +8853,147 @@ false
 },
 "type": "object"
 },
+"GoogleChromeManagementVersionsV1Plugin": {
+"description": "Information about a Chrome browser plugin installed on a reported Chrome installation on a device with managed Chrome browsers.",
+"id": "GoogleChromeManagementVersionsV1Plugin",
+"properties": {
+"description": {
+"description": "Output only. The description of the installed plugin.",
+"readOnly": true,
+"type": "string"
+},
+"filename": {
+"description": "Output only. The filename of the installed plugin.",
+"readOnly": true,
+"type": "string"
+},
+"pluginName": {
+"description": "Output only. The name of the installed plugin.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1Policy": {
+"description": "The applied policy reported by a managed Chrome browser. The policy can be applied at various scopes (machine, profile, extension).",
+"id": "GoogleChromeManagementVersionsV1Policy",
+"properties": {
+"error": {
+"description": "Output only. A localized string with all the errors reported when trying to apply this policy, if any.",
+"readOnly": true,
+"type": "string"
+},
+"policyName": {
+"description": "Output only. The name of the policy.",
+"readOnly": true,
+"type": "string"
+},
+"source": {
+"description": "Output only. The source of the policy.",
+"enum": [
+"POLICY_SOURCE_UNSPECIFIED",
+"MACHINE_PLATFORM",
+"USER_PLATFORM",
+"MACHINE_LEVEL_USER_CLOUD",
+"USER_CLOUD",
+"MACHINE_MERGED"
+],
+"enumDescriptions": [
+"Represents an unspecified policy source.",
+"Represents a machine level platform policy.",
+"Represents a user level platform policy.",
+"Represents a machine level user cloud policy.",
+"Represents a user level cloud policy.",
+"Represents a machine level merged policy."
+],
+"readOnly": true,
+"type": "string"
+},
+"value": {
+"description": "Output only. The value of the policy.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"GoogleChromeManagementVersionsV1Profile": {
+"description": "A profile reported on an installation of Chrome on a device with managed chrome browsers.",
+"id": "GoogleChromeManagementVersionsV1Profile",
+"properties": {
+"chromeSignedInUserEmail": {
+"description": "Output only. The email of the user signed in to this profile, if any.",
+"readOnly": true,
+"type": "string"
+},
+"extensionPolicies": {
+"description": "Output only. The list of extensions with applied extension policies.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1ExtensionPolicy"
+},
+"readOnly": true,
+"type": "array"
+},
+"extensions": {
+"description": "Output only. The list of extensions installed for this profile.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1Extension"
+},
+"readOnly": true,
+"type": "array"
+},
+"id": {
+"description": "Output only. A unique ID for this profile.",
+"readOnly": true,
+"type": "string"
+},
+"lastPolicyFetchTime": {
+"description": "Output only. The time when the last request to fetch policies succeeded for this profile.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"lastStatusReportTime": {
+"description": "Output only. The time when the last report was received from this profile.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"profileName": {
+"description": "Output only. The name given to this profile.",
+"readOnly": true,
+"type": "string"
+},
+"safeBrowsingWarnings": {
+"description": "Output only. The number of safe browsing warnings that were shown on this profile.",
+"format": "int64",
+"readOnly": true,
+"type": "string"
+},
+"safeBrowsingWarningsClickThroughs": {
+"description": "Output only. The number of safe browsing warnings that were clicked through on this profile.",
+"format": "int64",
+"readOnly": true,
+"type": "string"
+},
+"safeBrowsingWarningsResetTime": {
+"description": "Output only. The last time the safe browsing warning info was reset to 0.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"userPolicies": {
+"description": "Output only. The list of Chrome browser policies applied to this profile.",
+"items": {
+"$ref": "GoogleChromeManagementVersionsV1Policy"
+},
+"readOnly": true,
+"type": "array"
+}
+},
+"type": "object"
+},
 "GoogleChromeManagementVersionsV1PubSubConfig": {
 "description": "Pub/Sub connector config.",
 "id": "GoogleChromeManagementVersionsV1PubSubConfig",
@@ -8391,6 +9428,12 @@ false
 },
 "type": "object"
 },
+"GoogleChromeManagementVersionsV1RevokeEnrollmentTokenRequest": {
+"description": "Request to revoke a token.",
+"id": "GoogleChromeManagementVersionsV1RevokeEnrollmentTokenRequest",
+"properties": {},
+"type": "object"
+},
 "GoogleChromeManagementVersionsV1ScepCaConnection": {
 "description": "Describes a SCEP Certificate Authority Connection.",
 "id": "GoogleChromeManagementVersionsV1ScepCaConnection",

From f2c1b339bc31b328930696cb7bb4721a92a72e3b Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:44 +0000
Subject: [PATCH 08/32] fix(cloudscheduler): update the api

#### cloudscheduler:v1

The following keys were changed:
- endpoints (Total Keys: 1)

#### cloudscheduler:v1beta1

The following keys were changed:
- endpoints (Total Keys: 1)
---
 .../documents/cloudscheduler.v1.json          | 32 ++++++++++++++++++-
 .../documents/cloudscheduler.v1beta1.json     | 32 ++++++++++++++++++-
 2 files changed, 62 insertions(+), 2 deletions(-)

diff --git a/googleapiclient/discovery_cache/documents/cloudscheduler.v1.json b/googleapiclient/discovery_cache/documents/cloudscheduler.v1.json
index 66069c343f..ad37a23353 100644
--- a/googleapiclient/discovery_cache/documents/cloudscheduler.v1.json
+++ b/googleapiclient/discovery_cache/documents/cloudscheduler.v1.json
@@ -18,11 +18,36 @@
 "endpoints": [
 {
 "description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-central1.rep.googleapis.com/",
+"location": "us-central1"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-central2.rep.googleapis.com/",
+"location": "us-central2"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-east1.rep.googleapis.com/",
+"location": "us-east1"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-east4.rep.googleapis.com/",
+"location": "us-east4"
+},
+{
+"description": "Regional Endpoint",
 "endpointUrl": "https://cloudscheduler.us-east7.rep.googleapis.com/",
 "location": "us-east7"
 },
 {
 "description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-south1.rep.googleapis.com/",
+"location": "us-south1"
+},
+{
+"description": "Regional Endpoint",
 "endpointUrl": "https://cloudscheduler.us-west1.rep.googleapis.com/",
 "location": "us-west1"
 },
@@ -35,6 +60,11 @@
 "description": "Regional Endpoint",
 "endpointUrl": "https://cloudscheduler.us-west3.rep.googleapis.com/",
 "location": "us-west3"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-west4.rep.googleapis.com/",
+"location": "us-west4"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -633,7 +663,7 @@
 }
 }
 },
-"revision": "20260922",
+"revision": "20261004",
 "rootUrl": "https://cloudscheduler.googleapis.com/",
 "schemas": {
 "AppEngineHttpTarget": {
diff --git a/googleapiclient/discovery_cache/documents/cloudscheduler.v1beta1.json b/googleapiclient/discovery_cache/documents/cloudscheduler.v1beta1.json
index eb0c24ec44..6117b42700 100644
--- a/googleapiclient/discovery_cache/documents/cloudscheduler.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/cloudscheduler.v1beta1.json
@@ -18,11 +18,36 @@
 "endpoints": [
 {
 "description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-central1.rep.googleapis.com/",
+"location": "us-central1"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-central2.rep.googleapis.com/",
+"location": "us-central2"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-east1.rep.googleapis.com/",
+"location": "us-east1"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-east4.rep.googleapis.com/",
+"location": "us-east4"
+},
+{
+"description": "Regional Endpoint",
 "endpointUrl": "https://cloudscheduler.us-east7.rep.googleapis.com/",
 "location": "us-east7"
 },
 {
 "description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-south1.rep.googleapis.com/",
+"location": "us-south1"
+},
+{
+"description": "Regional Endpoint",
 "endpointUrl": "https://cloudscheduler.us-west1.rep.googleapis.com/",
 "location": "us-west1"
 },
@@ -35,6 +60,11 @@
 "description": "Regional Endpoint",
 "endpointUrl": "https://cloudscheduler.us-west3.rep.googleapis.com/",
 "location": "us-west3"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://cloudscheduler.us-west4.rep.googleapis.com/",
+"location": "us-west4"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -589,7 +619,7 @@
 }
 }
 },
-"revision": "20260922",
+"revision": "20261004",
 "rootUrl": "https://cloudscheduler.googleapis.com/",
 "schemas": {
 "AppEngineHttpTarget": {

From ef1276739b4824dc29d5f3b5da8b6c2c5546b249 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:44 +0000
Subject: [PATCH 09/32] feat(compute): update the api

#### compute:alpha

The following keys were deleted:
- resources.orgVmExtensionPolicies.methods.delete (Total Keys: 20)

The following keys were added:
- resources.organizationZoneVmExtensionPolicies.methods.delete (Total Keys: 20)

#### compute:preview

The following keys were added:
- resources.aliasNetworkEndpoints.methods.delete (Total Keys: 22)
- resources.aliasNetworkEndpoints.methods.get (Total Keys: 20)
- resources.aliasNetworkEndpoints.methods.insert (Total Keys: 19)
- resources.aliasNetworkEndpoints.methods.list (Total Keys: 27)
- schemas.AccessConfig.properties.ipCollection.type (Total Keys: 1)
- schemas.Address.properties.networkAttachment.type (Total Keys: 1)
- schemas.Address.properties.serviceClassId.type (Total Keys: 1)
- schemas.AliasNetworkEndpoint (Total Keys: 59)
- schemas.HaController.properties.params.$ref (Total Keys: 1)
- schemas.HaControllerInstanceNetworkInterface (Total Keys: 4)
- schemas.HaControllerParams (Total Keys: 3)
- schemas.HaControllerZoneConfiguration.properties.instanceNetworkInterfaces (Total Keys: 2)
- schemas.NetworkEndpointGroup.properties.networkAttachment.type (Total Keys: 1)
- schemas.NetworkEndpointGroup.properties.serviceClassId.type (Total Keys: 1)
- schemas.ResourceStatusScheduling.properties.protectionTier (Total Keys: 2)
- schemas.Scheduling.properties.protectionTier.type (Total Keys: 1)
---
 docs/dyn/compute_alpha.html                   |    5 -
 ...a.organizationZoneVmExtensionPolicies.html |  314 +++++
 docs/dyn/compute_preview.addresses.html       |   24 +
 ...compute_preview.aliasNetworkEndpoints.html | 1022 +++++++++++++++++
 docs/dyn/compute_preview.globalAddresses.html |   18 +
 ...e_preview.globalNetworkEndpointGroups.html |   18 +
 docs/dyn/compute_preview.haControllers.html   |  175 +++
 docs/dyn/compute_preview.html                 |    5 +
 .../compute_preview.instanceTemplates.html    |  132 +++
 docs/dyn/compute_preview.instances.html       |  306 +++++
 docs/dyn/compute_preview.machineImages.html   |  198 ++++
 ...compute_preview.networkEndpointGroups.html |   24 +
 ...mpute_preview.regionInstanceTemplates.html |   99 ++
 docs/dyn/compute_preview.regionInstances.html |   33 +
 ...e_preview.regionNetworkEndpointGroups.html |   18 +
 .../documents/compute.alpha.json              |  102 +-
 .../documents/compute.beta.json               |    8 +-
 .../documents/compute.preview.json            |  634 +++++++++-
 18 files changed, 3073 insertions(+), 62 deletions(-)
 create mode 100644 docs/dyn/compute_preview.aliasNetworkEndpoints.html

diff --git a/docs/dyn/compute_alpha.html b/docs/dyn/compute_alpha.html
index 48dee88a34..ba88139878 100644
--- a/docs/dyn/compute_alpha.html
+++ b/docs/dyn/compute_alpha.html
@@ -394,11 +394,6 @@ 
Instance Methods

 

 
Returns the nodeTypes Resource.

 
-

-  orgVmExtensionPolicies()
-

-
Returns the orgVmExtensionPolicies Resource.

-
 

   organizationGlobalVmExtensionPolicies()
 

diff --git a/docs/dyn/compute_alpha.organizationZoneVmExtensionPolicies.html b/docs/dyn/compute_alpha.organizationZoneVmExtensionPolicies.html
index c88037968b..76d35ada57 100644
--- a/docs/dyn/compute_alpha.organizationZoneVmExtensionPolicies.html
+++ b/docs/dyn/compute_alpha.organizationZoneVmExtensionPolicies.html
@@ -77,6 +77,9 @@ 
Instance Methods

 

   close()

 
Close httplib2 connections.

+

+  delete(organization, zone, vmExtensionPolicy, requestId=None, x__xgafv=None)

+
Deletes a specified zone VM extension policy within an organization.

 

   get(organization, zone, vmExtensionPolicy, x__xgafv=None)

 
Retrieves details of a specific zone VM extension policy within an

@@ -107,6 +110,317 @@ 
Method Details

   
Close httplib2 connections.
+
+ delete(organization, zone, vmExtensionPolicy, requestId=None, x__xgafv=None) + 
Deletes a specified zone VM extension policy within an organization.
+
+Args:
+  organization: string, Organization ID for this request. (required)
+  zone: string, Name of the zone for this request. (required)
+  vmExtensionPolicy: string, Name of the zone VM extension policy to delete. (required)
+  requestId: string, An optional request ID to identify requests. Specify a unique request ID so
+that if you must retry your request, the server will know to ignore the
+request if it has already been completed.
+
+For example, consider a situation where you make an initial request and
+the request times out. If you make the request again with the same
+request ID, the server can check if original operation with the same
+request ID was received, and if so, will ignore the second request. This
+prevents clients from accidentally creating duplicate commitments.
+
+The request ID must be
+a valid UUID with the exception that zero UUID is not supported
+(00000000-0000-0000-0000-000000000000).
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an Operation resource.
+    #
+    # Google Compute Engine has three Operation resources:
+    #
+    # * [Global](/compute/docs/reference/rest/alpha/globalOperations)
+    # * [Regional](/compute/docs/reference/rest/alpha/regionOperations)
+    # * [Zonal](/compute/docs/reference/rest/alpha/zoneOperations)
+    #
+    # You can use an operation resource to manage asynchronous API requests.
+    # For more information, readHandling
+    # API responses.
+    #
+    # Operations can be global, regional or zonal.
+    #
+    #    - For global operations, use the `globalOperations`
+    #    resource.
+    #    - For regional operations, use the
+    #    `regionOperations` resource.
+    #    - For zonal operations, use
+    #    the `zoneOperations` resource.
+    #
+    #
+    #
+    # For more information, read
+    # Global, Regional, and Zonal Resources.
+    #
+    # Note that completed Operation resources have a limited
+    # retention period.
+  "clientOperationId": "A String", # [Output Only] The value of `requestId` if you provided it in the request.
+      # Not present otherwise.
+  "creationTimestamp": "A String", # [Deprecated] This field is deprecated.
+  "description": "A String", # [Output Only] A textual description of the operation, which is
+      # set when the operation is created.
+  "endTime": "A String", # [Output Only] The time that this operation was completed. This value is inRFC3339
+      # text format.
+  "error": { # [Output Only] If errors are generated during processing of the operation,
+      # this field will be populated.
+    "errors": [ # [Output Only] The array of errors encountered while processing this
+        # operation.
+      { # Represents a single error encountered during the processing of an
+          # operation.
+        "code": "A String", # [Output Only] The error type identifier for this error.
+        "errorDetails": [ # [Output Only] An optional list of messages that contain the error
+            # details. There is a set of defined message types to use for providing
+            # details.The syntax depends on the error code. For example,
+            # QuotaExceededInfo will have details when the error code is
+            # QUOTA_EXCEEDED.
+          { # Container for structured error details providing additional context
+              # specific to the encountered error code.
+            "errorInfo": { # Describes the cause of the error with structured details. # Error information containing structured domain, reason, and metadata.
+                #
+                # Example of an error when contacting the "pubsub.googleapis.com" API when it
+                # is not enabled:
+                #
+                #     { "reason": "API_DISABLED"
+                #       "domain": "googleapis.com"
+                #       "metadata": {
+                #         "resource": "projects/123",
+                #         "service": "pubsub.googleapis.com"
+                #       }
+                #     }
+                #
+                # This response indicates that the pubsub.googleapis.com API is not enabled.
+                #
+                # Example of an error that is returned when attempting to create a Spanner
+                # instance in a region that is out of stock:
+                #
+                #     { "reason": "STOCKOUT"
+                #       "domain": "spanner.googleapis.com",
+                #       "metadata": {
+                #         "availableRegions": "us-central1,us-east2"
+                #       }
+                #     }
+              "domain": "A String", # The logical grouping to which the "reason" belongs. The error domain
+                  # is typically the registered service name of the tool or product that
+                  # generates the error. Example: "pubsub.googleapis.com". If the error is
+                  # generated by some common infrastructure, the error domain must be a
+                  # globally unique value that identifies the infrastructure. For Google API
+                  # infrastructure, the error domain is "googleapis.com".
+              "metadatas": { # Additional structured details about this error.
+                  #
+                  # Keys must match a regular expression of `a-z+` but should
+                  # ideally be lowerCamelCase. Also, they must be limited to 64 characters in
+                  # length. When identifying the current value of an exceeded limit, the units
+                  # should be contained in the key, not the value.  For example, rather than
+                  # `{"instanceLimit": "100/request"}`, should be returned as,
+                  # `{"instanceLimitPerRequest": "100"}`, if the client exceeds the number of
+                  # instances that can be created in a single (batch) request.
+                "a_key": "A String",
+              },
+              "reason": "A String", # The reason of the error. This is a constant value that identifies the
+                  # proximate cause of the error. Error reasons are unique within a particular
+                  # domain of errors. This should be at most 63 characters and match a
+                  # regular expression of `A-Z+[A-Z0-9]`, which represents
+                  # UPPER_SNAKE_CASE.
+            },
+            "help": { # Provides links to documentation or for performing an out of band action. # Links and information to help the user resolve the error.
+                #
+                # For example, if a quota check failed with an error indicating the calling
+                # project hasn't enabled the accessed service, this can contain a URL pointing
+                # directly to the right place in the developer console to flip the bit.
+              "links": [ # URL(s) pointing to additional information on handling the current error.
+                { # Describes a URL link.
+                  "description": "A String", # Describes what the link offers.
+                  "url": "A String", # The URL of the link.
+                },
+              ],
+            },
+            "localizedMessage": { # Provides a localized error message that is safe to return to the user # A localized human-readable error message intended for end users.
+                # which can be attached to an RPC error.
+              "locale": "A String", # The locale used following the specification defined at
+                  # https://www.rfc-editor.org/rfc/bcp/bcp47.txt.
+                  # Examples are: "en-US", "fr-CH", "es-MX"
+              "message": "A String", # The localized error message in the above locale.
+            },
+            "quotaInfo": { # Additional details for quota exceeded error for resource quota. # Details about quota limits and metrics when a quota is exceeded.
+              "dimensions": { # The map holding related quota dimensions.
+                "a_key": "A String",
+              },
+              "futureLimit": 3.14, # Future quota limit being rolled out. The limit's unit depends on the quota
+                  #  type or metric.
+              "limit": 3.14, # Current effective quota limit. The limit's unit depends on the quota type
+                  # or metric.
+              "limitName": "A String", # The name of the quota limit.
+              "metricName": "A String", # The Compute Engine quota metric name.
+              "rolloutStatus": "A String", # Rollout status of the future quota limit.
+            },
+          },
+        ],
+        "location": "A String", # [Output Only] Indicates the field in the request that caused the error.
+            # This property is optional.
+        "message": "A String", # [Output Only] An optional, human-readable error message.
+      },
+    ],
+  },
+  "firewallPolicyRuleOperationMetadata": { # Metadata for FirewallPolicyRule operations. # Output only. [Output Only] Metadata containing the allocated priority from the
+      # networkFirewallPolicies.addRule and regionNetworkFirewallPolicies.addRule
+      # methods if not explicitly provided by the user.
+    "allocatedPriority": 42, # Output only. [Output Only] The priority allocated for the firewall policy rule if query
+        # parameters specified minPriority/maxPriority.
+  },
+  "getHealthOperationMetadata": { # Metadata for GetHealth operations. # Output only. Metadata for GetHealth operations.
+    "healthInfo": { # Health information. # Output only. The health information.
+      "availabilitySloStatus": "A String", # Output only. The availability SLO status.
+      "healthStatus": "A String", # Output only. The health status.
+      "repairCategory": "A String", # Output only. The repair category.
+      "unhealthyReason": "A String", # Output only. The reason for unhealthy status.
+      "updateTime": "A String", # Output only. The time when health info was updated.
+    },
+  },
+  "getVersionOperationMetadata": {
+    "inlineSbomInfo": {
+      "currentComponentVersions": { # A mapping of components to their currently-applied versions or other
+          # appropriate identifiers.
+        "a_key": "A String",
+      },
+      "targetComponentVersions": { # A mapping of components to their target versions or other appropriate
+          # identifiers.
+        "a_key": "A String",
+      },
+    },
+  },
+  "httpErrorMessage": "A String", # [Output Only] If the operation fails, this field contains the HTTP error
+      # message that was returned, such as `NOT FOUND`.
+  "httpErrorStatusCode": 42, # [Output Only] If the operation fails, this field contains the HTTP error
+      # status code that was returned. For example, a `404` means the
+      # resource was not found.
+  "id": "A String", # [Output Only] The unique identifier for the operation. This identifier is
+      # defined by the server.
+  "insertTime": "A String", # [Output Only] The time that this operation was requested.
+      # This value is inRFC3339
+      # text format.
+  "instancesBulkInsertOperationMetadata": {
+    "perLocationStatus": { # Status information per location (location name is key).
+        # Example key: zones/us-central1-a
+      "a_key": {
+        "createdVmCount": 42, # [Output Only] Count of VMs successfully created so far.
+        "deletedVmCount": 42, # [Output Only] Count of VMs that got deleted during rollback.
+        "failedToCreateVmCount": 42, # [Output Only] Count of VMs that started creating but encountered an
+            # error.
+        "status": "A String", # [Output Only] Creation status of BulkInsert operation - information
+            # if the flow is rolling forward or rolling back.
+        "targetVmCount": 42, # [Output Only] Count of VMs originally planned to be created.
+      },
+    },
+  },
+  "kind": "compute#operation", # Output only. [Output Only] Type of the resource. Always `compute#operation` for
+      # Operation resources.
+  "name": "A String", # [Output Only] Name of the operation.
+  "operationGroupId": "A String", # Output only. [Output Only] An ID that represents a group of operations, such as when a
+      # group of operations results from a `bulkInsert` API request.
+  "operationType": "A String", # [Output Only] The type of operation, such as `insert`,
+      # `update`, or `delete`, and so on.
+  "progress": 42, # [Output Only] An optional progress indicator that ranges from 0 to 100.
+      # There is no requirement that this be linear or support any granularity of
+      # operations. This should not be used to guess when the operation will be
+      # complete. This number should monotonically increase as the operation
+      # progresses.
+  "region": "A String", # [Output Only] The URL of the region where the operation resides. Only
+      # applicable when performing regional operations.
+  "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+  "selfLinkWithId": "A String", # Output only. [Output Only] Server-defined URL for this resource with the resource id.
+  "setCommonInstanceMetadataOperationMetadata": { # Output only. [Output Only] If the operation is for projects.setCommonInstanceMetadata,
+      # this field will contain information on all underlying zonal actions and
+      # their state.
+    "clientOperationId": "A String", # [Output Only] The client operation id.
+    "perLocationOperations": { # [Output Only] Status information per location (location name is key).
+        # Example key: zones/us-central1-a
+      "a_key": {
+        "error": { # The `Status` type defines a logical error model that is suitable for # [Output Only] If state is `ABANDONED` or `FAILED`, this field is
+            # populated.
+            # different programming environments, including REST APIs and RPC APIs. It is
+            # used by [gRPC](https://github.com/grpc). Each `Status` message contains
+            # three pieces of data: error code, error message, and error details.
+            #
+            # You can find out more about this error model and how to work with it in the
+            # [API Design Guide](https://cloud.google.com/apis/design/errors).
+          "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+          "details": [ # A list of messages that carry the error details.  There is a common set of
+              # message types for APIs to use.
+            {
+              "a_key": "", # Properties of the object. Contains field @type with type URL.
+            },
+          ],
+          "message": "A String", # A developer-facing error message, which should be in English. Any
+              # user-facing error message should be localized and sent in the
+              # google.rpc.Status.details field, or localized by the client.
+        },
+        "state": "A String", # [Output Only] Status of the action, which can be one of the following:
+            # `PROPAGATING`, `PROPAGATED`, `ABANDONED`, `FAILED`, or `DONE`.
+      },
+    },
+  },
+  "startTime": "A String", # [Output Only] The time that this operation was started by the server.
+      # This value is inRFC3339
+      # text format.
+  "status": "A String", # [Output Only] The status of the operation, which can be one of the
+      # following:
+      # `PENDING`, `RUNNING`, or `DONE`.
+  "statusMessage": "A String", # [Output Only] An optional textual description of the current status of the
+      # operation.
+  "targetId": "A String", # [Output Only] The unique target ID, which identifies a specific incarnation
+      # of the target resource.
+  "targetLink": "A String", # [Output Only] The URL of the resource that the operation modifies. For
+      # operations related to creating a snapshot, this points to the disk
+      # that the snapshot was created from.
+  "user": "A String", # [Output Only] User who requested the operation, for example:
+      # `user@example.com` or
+      # `alice_smith_identifier (global/workforcePools/example-com-us-employees)`.
+  "warnings": [ # [Output Only] If warning messages are generated during processing of the
+      # operation, this field will be populated.
+    {
+      "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
+          # Engine returns NO_RESULTS_ON_PAGE if there
+          # are no results in the response.
+      "data": [ # [Output Only] Metadata about this warning in key:
+          # value format. For example:
+          #
+          # "data": [
+          #   {
+          #    "key": "scope",
+          #    "value": "zones/us-east1-d"
+          #   }]
+        {
+          "key": "A String", # [Output Only] A key that provides more detail on the warning being
+              # returned. For example, for warnings where there are no results in a list
+              # request for a particular zone, this key might be scope and
+              # the key value might be the zone name. Other examples might be a key
+              # indicating a deprecated resource and a suggested replacement, or a
+              # warning about invalid network settings (for example, if an instance
+              # attempts to perform IP forwarding but is not enabled for IP forwarding).
+          "value": "A String", # [Output Only] A warning data value corresponding to the key.
+        },
+      ],
+      "message": "A String", # [Output Only] A human-readable description of the warning code.
+    },
+  ],
+  "zone": "A String", # [Output Only] The URL of the zone where the operation resides. Only
+      # applicable when performing per-zone operations.
+}
+
+
get(organization, zone, vmExtensionPolicy, x__xgafv=None) 
Retrieves details of a specific zone VM extension policy within an
diff --git a/docs/dyn/compute_preview.addresses.html b/docs/dyn/compute_preview.addresses.html
index 6f4b9d6a58..9c7d4d78d7 100644
--- a/docs/dyn/compute_preview.addresses.html
+++ b/docs/dyn/compute_preview.addresses.html
@@ -293,6 +293,9 @@ 
Method Details

               # character must be a lowercase letter or digit.
           "network": "A String", # The URL of the network in which to reserve the address. This field can
               # only be used with INTERNAL type with theVPC_PEERING purpose.
+          "networkAttachment": "A String", # Optional. The URL of the network attachment that this address comes from in the
+              # following format:
+              # projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
           "networkTier": "A String", # This signifies the networking tier used for configuring this address and
               # can only take the following values: PREMIUM orSTANDARD. Internal IP addresses are always Premium Tier;
               # global external IP addresses are always Premium Tier; regional external IP
@@ -336,6 +339,9 @@ 
Method Details

               # the HTTP request URL. *This field is not applicable to global
               # addresses.*
           "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+          "serviceClassId": "A String", # Optional. Producer Service's Service class ID for the region of this address. Can
+              # only be used with network_attachment. It is not possible to use on its own;
+              # however, network_attachment can be used without service_class_id.
           "status": "A String", # Output only. [Output Only] The status of the address, which can be one ofRESERVING, RESERVED, or IN_USE.
               # An address that is RESERVING is currently in the process of
               # being reserved. A RESERVED address is currently reserved and
@@ -835,6 +841,9 @@ 
Method Details

       # character must be a lowercase letter or digit.
   "network": "A String", # The URL of the network in which to reserve the address. This field can
       # only be used with INTERNAL type with theVPC_PEERING purpose.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this address comes from in the
+      # following format:
+      # projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkTier": "A String", # This signifies the networking tier used for configuring this address and
       # can only take the following values: PREMIUM orSTANDARD. Internal IP addresses are always Premium Tier;
       # global external IP addresses are always Premium Tier; regional external IP
@@ -878,6 +887,9 @@ 
Method Details

       # the HTTP request URL. *This field is not applicable to global
       # addresses.*
   "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. Producer Service's Service class ID for the region of this address. Can
+      # only be used with network_attachment. It is not possible to use on its own;
+      # however, network_attachment can be used without service_class_id.
   "status": "A String", # Output only. [Output Only] The status of the address, which can be one ofRESERVING, RESERVED, or IN_USE.
       # An address that is RESERVING is currently in the process of
       # being reserved. A RESERVED address is currently reserved and
@@ -980,6 +992,9 @@ 
Method Details

       # character must be a lowercase letter or digit.
   "network": "A String", # The URL of the network in which to reserve the address. This field can
       # only be used with INTERNAL type with theVPC_PEERING purpose.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this address comes from in the
+      # following format:
+      # projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkTier": "A String", # This signifies the networking tier used for configuring this address and
       # can only take the following values: PREMIUM orSTANDARD. Internal IP addresses are always Premium Tier;
       # global external IP addresses are always Premium Tier; regional external IP
@@ -1023,6 +1038,9 @@ 
Method Details

       # the HTTP request URL. *This field is not applicable to global
       # addresses.*
   "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. Producer Service's Service class ID for the region of this address. Can
+      # only be used with network_attachment. It is not possible to use on its own;
+      # however, network_attachment can be used without service_class_id.
   "status": "A String", # Output only. [Output Only] The status of the address, which can be one ofRESERVING, RESERVED, or IN_USE.
       # An address that is RESERVING is currently in the process of
       # being reserved. A RESERVED address is currently reserved and
@@ -1508,6 +1526,9 @@ 
Method Details

           # character must be a lowercase letter or digit.
       "network": "A String", # The URL of the network in which to reserve the address. This field can
           # only be used with INTERNAL type with theVPC_PEERING purpose.
+      "networkAttachment": "A String", # Optional. The URL of the network attachment that this address comes from in the
+          # following format:
+          # projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
       "networkTier": "A String", # This signifies the networking tier used for configuring this address and
           # can only take the following values: PREMIUM orSTANDARD. Internal IP addresses are always Premium Tier;
           # global external IP addresses are always Premium Tier; regional external IP
@@ -1551,6 +1572,9 @@ 
Method Details

           # the HTTP request URL. *This field is not applicable to global
           # addresses.*
       "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+      "serviceClassId": "A String", # Optional. Producer Service's Service class ID for the region of this address. Can
+          # only be used with network_attachment. It is not possible to use on its own;
+          # however, network_attachment can be used without service_class_id.
       "status": "A String", # Output only. [Output Only] The status of the address, which can be one ofRESERVING, RESERVED, or IN_USE.
           # An address that is RESERVING is currently in the process of
           # being reserved. A RESERVED address is currently reserved and
diff --git a/docs/dyn/compute_preview.aliasNetworkEndpoints.html b/docs/dyn/compute_preview.aliasNetworkEndpoints.html
new file mode 100644
index 0000000000..5bebd4a909
--- /dev/null
+++ b/docs/dyn/compute_preview.aliasNetworkEndpoints.html
@@ -0,0 +1,1022 @@
+
+
+
+
Compute Engine API . aliasNetworkEndpoints

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  delete(project, zone, aliasNetworkEndpoint, requestId=None, x__xgafv=None)

+
Deletes the specified AliasNetworkEndpoint.

+

+  get(project, zone, aliasNetworkEndpoint, x__xgafv=None)

+
Returns the specified AliasNetworkEndpoint resource.

+

+  insert(project, zone, body=None, requestId=None, x__xgafv=None)

+
Creates an AliasNetworkEndpoint in the specified project and zone

+

+  list(project, zone, filter=None, maxResults=None, orderBy=None, pageToken=None, x__xgafv=None)

+
Retrieves a list of AliasNetworkEndpoints available to the specified

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    delete(project, zone, aliasNetworkEndpoint, requestId=None, x__xgafv=None)
+  
Deletes the specified AliasNetworkEndpoint.
+
+Args:
+  project: string, Required. Project ID for this request. (required)
+  zone: string, Required. Name of the zone scoping this request. (required)
+  aliasNetworkEndpoint: string, Required. Name of the AliasNetworkEndpoint resource to delete. (required)
+  requestId: string, An optional request ID to identify requests. Specify a unique request ID so
+that if you must retry your request, the server will know to ignore the
+request if it has already been completed.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an Operation resource.
+    #
+    # Google Compute Engine has three Operation resources:
+    #
+    # * [Global](/compute/docs/reference/rest/v1/globalOperations)
+    # * [Regional](/compute/docs/reference/rest/v1/regionOperations)
+    # * [Zonal](/compute/docs/reference/rest/v1/zoneOperations)
+    #
+    # You can use an operation resource to manage asynchronous API requests.
+    # For more information, readHandling
+    # API responses.
+    #
+    # Operations can be global, regional or zonal.
+    #
+    #    - For global operations, use the `globalOperations`
+    #    resource.
+    #    - For regional operations, use the
+    #    `regionOperations` resource.
+    #    - For zonal operations, use
+    #    the `zoneOperations` resource.
+    #
+    #
+    #
+    # For more information, read
+    # Global, Regional, and Zonal Resources.
+    #
+    # Note that completed Operation resources have a limited
+    # retention period.
+  "clientOperationId": "A String", # [Output Only] The value of `requestId` if you provided it in the request.
+      # Not present otherwise.
+  "creationTimestamp": "A String", # [Deprecated] This field is deprecated.
+  "description": "A String", # [Output Only] A textual description of the operation, which is
+      # set when the operation is created.
+  "endTime": "A String", # [Output Only] The time that this operation was completed. This value is inRFC3339
+      # text format.
+  "error": { # [Output Only] If errors are generated during processing of the operation,
+      # this field will be populated.
+    "errors": [ # [Output Only] The array of errors encountered while processing this
+        # operation.
+      { # Represents a single error encountered during the processing of an
+          # operation.
+        "code": "A String", # [Output Only] The error type identifier for this error.
+        "errorDetails": [ # [Output Only] An optional list of messages that contain the error
+            # details. There is a set of defined message types to use for providing
+            # details.The syntax depends on the error code. For example,
+            # QuotaExceededInfo will have details when the error code is
+            # QUOTA_EXCEEDED.
+          { # Container for structured error details providing additional context
+              # specific to the encountered error code.
+            "errorInfo": { # Describes the cause of the error with structured details. # Error information containing structured domain, reason, and metadata.
+                #
+                # Example of an error when contacting the "pubsub.googleapis.com" API when it
+                # is not enabled:
+                #
+                #     { "reason": "API_DISABLED"
+                #       "domain": "googleapis.com"
+                #       "metadata": {
+                #         "resource": "projects/123",
+                #         "service": "pubsub.googleapis.com"
+                #       }
+                #     }
+                #
+                # This response indicates that the pubsub.googleapis.com API is not enabled.
+                #
+                # Example of an error that is returned when attempting to create a Spanner
+                # instance in a region that is out of stock:
+                #
+                #     { "reason": "STOCKOUT"
+                #       "domain": "spanner.googleapis.com",
+                #       "metadata": {
+                #         "availableRegions": "us-central1,us-east2"
+                #       }
+                #     }
+              "domain": "A String", # The logical grouping to which the "reason" belongs. The error domain
+                  # is typically the registered service name of the tool or product that
+                  # generates the error. Example: "pubsub.googleapis.com". If the error is
+                  # generated by some common infrastructure, the error domain must be a
+                  # globally unique value that identifies the infrastructure. For Google API
+                  # infrastructure, the error domain is "googleapis.com".
+              "metadatas": { # Additional structured details about this error.
+                  #
+                  # Keys must match a regular expression of `a-z+` but should
+                  # ideally be lowerCamelCase. Also, they must be limited to 64 characters in
+                  # length. When identifying the current value of an exceeded limit, the units
+                  # should be contained in the key, not the value.  For example, rather than
+                  # `{"instanceLimit": "100/request"}`, should be returned as,
+                  # `{"instanceLimitPerRequest": "100"}`, if the client exceeds the number of
+                  # instances that can be created in a single (batch) request.
+                "a_key": "A String",
+              },
+              "reason": "A String", # The reason of the error. This is a constant value that identifies the
+                  # proximate cause of the error. Error reasons are unique within a particular
+                  # domain of errors. This should be at most 63 characters and match a
+                  # regular expression of `A-Z+[A-Z0-9]`, which represents
+                  # UPPER_SNAKE_CASE.
+            },
+            "help": { # Provides links to documentation or for performing an out of band action. # Links and information to help the user resolve the error.
+                #
+                # For example, if a quota check failed with an error indicating the calling
+                # project hasn't enabled the accessed service, this can contain a URL pointing
+                # directly to the right place in the developer console to flip the bit.
+              "links": [ # URL(s) pointing to additional information on handling the current error.
+                { # Describes a URL link.
+                  "description": "A String", # Describes what the link offers.
+                  "url": "A String", # The URL of the link.
+                },
+              ],
+            },
+            "localizedMessage": { # Provides a localized error message that is safe to return to the user # A localized human-readable error message intended for end users.
+                # which can be attached to an RPC error.
+              "locale": "A String", # The locale used following the specification defined at
+                  # https://www.rfc-editor.org/rfc/bcp/bcp47.txt.
+                  # Examples are: "en-US", "fr-CH", "es-MX"
+              "message": "A String", # The localized error message in the above locale.
+            },
+            "quotaInfo": { # Additional details for quota exceeded error for resource quota. # Details about quota limits and metrics when a quota is exceeded.
+              "dimensions": { # The map holding related quota dimensions.
+                "a_key": "A String",
+              },
+              "futureLimit": 3.14, # Future quota limit being rolled out. The limit's unit depends on the quota
+                  #  type or metric.
+              "limit": 3.14, # Current effective quota limit. The limit's unit depends on the quota type
+                  # or metric.
+              "limitName": "A String", # The name of the quota limit.
+              "metricName": "A String", # The Compute Engine quota metric name.
+              "rolloutStatus": "A String", # Rollout status of the future quota limit.
+            },
+          },
+        ],
+        "location": "A String", # [Output Only] Indicates the field in the request that caused the error.
+            # This property is optional.
+        "message": "A String", # [Output Only] An optional, human-readable error message.
+      },
+    ],
+  },
+  "getHealthOperationMetadata": { # Metadata for GetHealth operations. # Output only. Metadata for GetHealth operations.
+    "healthInfo": { # Health information. # Output only. The health information.
+      "availabilitySloStatus": "A String", # Output only. The availability SLO status.
+      "healthStatus": "A String", # Output only. The health status.
+      "repairCategory": "A String", # Output only. The repair category.
+      "unhealthyReason": "A String", # Output only. The reason for unhealthy status.
+      "updateTime": "A String", # Output only. The time when health info was updated.
+    },
+  },
+  "getVersionOperationMetadata": {
+    "inlineSbomInfo": {
+      "currentComponentVersions": { # A mapping of components to their currently-applied versions or other
+          # appropriate identifiers.
+        "a_key": "A String",
+      },
+      "targetComponentVersions": { # A mapping of components to their target versions or other appropriate
+          # identifiers.
+        "a_key": "A String",
+      },
+    },
+  },
+  "httpErrorMessage": "A String", # [Output Only] If the operation fails, this field contains the HTTP error
+      # message that was returned, such as `NOT FOUND`.
+  "httpErrorStatusCode": 42, # [Output Only] If the operation fails, this field contains the HTTP error
+      # status code that was returned. For example, a `404` means the
+      # resource was not found.
+  "id": "A String", # [Output Only] The unique identifier for the operation. This identifier is
+      # defined by the server.
+  "insertTime": "A String", # [Output Only] The time that this operation was requested.
+      # This value is inRFC3339
+      # text format.
+  "instancesBulkInsertOperationMetadata": {
+    "perLocationStatus": { # Status information per location (location name is key).
+        # Example key: zones/us-central1-a
+      "a_key": {
+        "createdVmCount": 42, # [Output Only] Count of VMs successfully created so far.
+        "deletedVmCount": 42, # [Output Only] Count of VMs that got deleted during rollback.
+        "failedToCreateVmCount": 42, # [Output Only] Count of VMs that started creating but encountered an
+            # error.
+        "status": "A String", # [Output Only] Creation status of BulkInsert operation - information
+            # if the flow is rolling forward or rolling back.
+        "targetVmCount": 42, # [Output Only] Count of VMs originally planned to be created.
+      },
+    },
+  },
+  "instancesTroubleshootOperationMetadata": { # [Output Only] Operation metadata for instances.troubleshoot. # Output only. [Output Only] Operation metadata for instances.troubleshoot.
+    "troubleshootOutput": "A String", # Output only. [Output Only] Serialized output of the troubleshooting diagnostic run.
+  },
+  "kind": "compute#operation", # Output only. [Output Only] Type of the resource. Always `compute#operation` for
+      # Operation resources.
+  "name": "A String", # [Output Only] Name of the operation.
+  "operationGroupId": "A String", # Output only. [Output Only] An ID that represents a group of operations, such as when a
+      # group of operations results from a `bulkInsert` API request.
+  "operationType": "A String", # [Output Only] The type of operation, such as `insert`,
+      # `update`, or `delete`, and so on.
+  "progress": 42, # [Output Only] An optional progress indicator that ranges from 0 to 100.
+      # There is no requirement that this be linear or support any granularity of
+      # operations. This should not be used to guess when the operation will be
+      # complete. This number should monotonically increase as the operation
+      # progresses.
+  "region": "A String", # [Output Only] The URL of the region where the operation resides. Only
+      # applicable when performing regional operations.
+  "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+  "setCommonInstanceMetadataOperationMetadata": { # Output only. [Output Only] If the operation is for projects.setCommonInstanceMetadata,
+      # this field will contain information on all underlying zonal actions and
+      # their state.
+    "clientOperationId": "A String", # [Output Only] The client operation id.
+    "perLocationOperations": { # [Output Only] Status information per location (location name is key).
+        # Example key: zones/us-central1-a
+      "a_key": {
+        "error": { # The `Status` type defines a logical error model that is suitable for # [Output Only] If state is `ABANDONED` or `FAILED`, this field is
+            # populated.
+            # different programming environments, including REST APIs and RPC APIs. It is
+            # used by [gRPC](https://github.com/grpc). Each `Status` message contains
+            # three pieces of data: error code, error message, and error details.
+            #
+            # You can find out more about this error model and how to work with it in the
+            # [API Design Guide](https://cloud.google.com/apis/design/errors).
+          "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+          "details": [ # A list of messages that carry the error details.  There is a common set of
+              # message types for APIs to use.
+            {
+              "a_key": "", # Properties of the object. Contains field @type with type URL.
+            },
+          ],
+          "message": "A String", # A developer-facing error message, which should be in English. Any
+              # user-facing error message should be localized and sent in the
+              # google.rpc.Status.details field, or localized by the client.
+        },
+        "state": "A String", # [Output Only] Status of the action, which can be one of the following:
+            # `PROPAGATING`, `PROPAGATED`, `ABANDONED`, `FAILED`, or `DONE`.
+      },
+    },
+  },
+  "startTime": "A String", # [Output Only] The time that this operation was started by the server.
+      # This value is inRFC3339
+      # text format.
+  "status": "A String", # [Output Only] The status of the operation, which can be one of the
+      # following:
+      # `PENDING`, `RUNNING`, or `DONE`.
+  "statusMessage": "A String", # [Output Only] An optional textual description of the current status of the
+      # operation.
+  "targetId": "A String", # [Output Only] The unique target ID, which identifies a specific incarnation
+      # of the target resource.
+  "targetLink": "A String", # [Output Only] The URL of the resource that the operation modifies. For
+      # operations related to creating a snapshot, this points to the disk
+      # that the snapshot was created from.
+  "user": "A String", # [Output Only] User who requested the operation, for example:
+      # `user@example.com` or
+      # `alice_smith_identifier (global/workforcePools/example-com-us-employees)`.
+  "warnings": [ # [Output Only] If warning messages are generated during processing of the
+      # operation, this field will be populated.
+    {
+      "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
+          # Engine returns NO_RESULTS_ON_PAGE if there
+          # are no results in the response.
+      "data": [ # [Output Only] Metadata about this warning in key:
+          # value format. For example:
+          #
+          # "data": [
+          #   {
+          #    "key": "scope",
+          #    "value": "zones/us-east1-d"
+          #   }]
+        {
+          "key": "A String", # [Output Only] A key that provides more detail on the warning being
+              # returned. For example, for warnings where there are no results in a list
+              # request for a particular zone, this key might be scope and
+              # the key value might be the zone name. Other examples might be a key
+              # indicating a deprecated resource and a suggested replacement, or a
+              # warning about invalid network settings (for example, if an instance
+              # attempts to perform IP forwarding but is not enabled for IP forwarding).
+          "value": "A String", # [Output Only] A warning data value corresponding to the key.
+        },
+      ],
+      "message": "A String", # [Output Only] A human-readable description of the warning code.
+    },
+  ],
+  "zone": "A String", # [Output Only] The URL of the zone where the operation resides. Only
+      # applicable when performing per-zone operations.
+}

+

+
+

+    get(project, zone, aliasNetworkEndpoint, x__xgafv=None)
+  
Returns the specified AliasNetworkEndpoint resource.
+
+Args:
+  project: string, Required. Project ID for this request. (required)
+  zone: string, Required. Name of the zone scoping this request. (required)
+  aliasNetworkEndpoint: string, Required. Name of the AliasNetworkEndpoint resource to return. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an Alias Network Endpoint resource.
+    # To be used for GKE pod-native endpoints in Andromeda.
+  "aliases": { # Required. The map of network aliases allocated for the AliasNetworkEndpoint.
+      # This map is keyed with user-provided alias names.
+    "a_key": { # Configuration for an IP alias.
+      "effectiveIpAddress": "A String", # Output only. [Output Only] The actual IP address allocated by the system.
+      "effectiveSubnetworkRangeName": "A String", # Output only. [Output Only] The actual secondary range used for allocation.
+      "ipAddress": "A String", # Input only. The IP address of the network endpoint. If specified, the server performs
+          # a validation check for uniqueness. If the field is omitted, the system
+          # automatically allocates an IP and populates the effective_ip_address
+          # field.
+      "ipVersion": "A String", # Required. The IP version of the IP. It is IPv4 or IPv6.
+      "subnetworkRangeNames": [ # Input only. Defines candidate secondary ranges for allocating the alias IPs. If it is
+          # empty, the IP would be allocated from the primary range of the
+          # subnetwork.
+          # This field is INPUT_ONLY and used only during resource creation,
+          # hence a repeated field is acceptable as per AIP-2825. It is not mutable.
+        "A String",
+      ],
+    },
+  },
+  "annotations": { # Optional. The annotations map for the AliasNetworkEndpoint.
+      # Keys and values must follow Kubernetes limits.
+      # Keys must be a maximum of 253 characters. Keys should be dot-namespaced,
+      # following the Kubernetes annotation key format:
+      # `([DNS subdomain]/)?[RFC 1123 name]`.
+      # Values must be a maximum of 256 characters.
+    "a_key": "A String",
+  },
+  "creationTimestamp": "A String", # Output only. [Output Only] Creation timestamp in RFC3339 text format.
+  "description": "A String", # Optional. An optional description of this resource. Provide this field when you
+      # create the resource.
+  "host": { # Information about the host instance. # Required. The host that the alias network endpoint is bound to.
+    "instance": "A String", # Required. The URL to the instance that this alias network endpoint is bound to.
+  },
+  "id": "A String", # Output only. [Output Only] The unique identifier for the resource. This identifier is
+      # defined by the server.
+  "labels": { # Optional. The labels map for the AliasNetworkEndpoint.
+    "a_key": "A String",
+  },
+  "name": "A String", # Identifier. Name of the resource. Provided by the client when the resource is created.
+      # The name must be 1-63 characters long, and comply with RFC1035.
+  "securityTagInheritance": "A String", # Optional. The security tag inheritance setting for the AliasNetworkEndpoint.
+  "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+  "status": { # Represents the current status of the AliasNetworkEndpoint. # Output only. [Output Only] Current status of the alias network endpoint.
+    "network": "A String", # Output only. [Output Only] The URL of the network that this alias network endpoint
+        # belongs to.
+    "state": "A String", # Output only. [Output Only] The state of the alias network endpoint.
+  },
+  "subnetwork": "A String", # Required. The URL of the subnetwork that this alias network endpoint belongs to.
+  "updateTime": "A String", # Output only. [Output Only] Update timestamp in RFC3339 text format.
+}

+

+
+

+    insert(project, zone, body=None, requestId=None, x__xgafv=None)
+  
Creates an AliasNetworkEndpoint in the specified project and zone
+using the data included in the request.
+
+Args:
+  project: string, Required. Project ID for this request. (required)
+  zone: string, Required. Name of the zone scoping this request. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Represents an Alias Network Endpoint resource.
+    # To be used for GKE pod-native endpoints in Andromeda.
+  "aliases": { # Required. The map of network aliases allocated for the AliasNetworkEndpoint.
+      # This map is keyed with user-provided alias names.
+    "a_key": { # Configuration for an IP alias.
+      "effectiveIpAddress": "A String", # Output only. [Output Only] The actual IP address allocated by the system.
+      "effectiveSubnetworkRangeName": "A String", # Output only. [Output Only] The actual secondary range used for allocation.
+      "ipAddress": "A String", # Input only. The IP address of the network endpoint. If specified, the server performs
+          # a validation check for uniqueness. If the field is omitted, the system
+          # automatically allocates an IP and populates the effective_ip_address
+          # field.
+      "ipVersion": "A String", # Required. The IP version of the IP. It is IPv4 or IPv6.
+      "subnetworkRangeNames": [ # Input only. Defines candidate secondary ranges for allocating the alias IPs. If it is
+          # empty, the IP would be allocated from the primary range of the
+          # subnetwork.
+          # This field is INPUT_ONLY and used only during resource creation,
+          # hence a repeated field is acceptable as per AIP-2825. It is not mutable.
+        "A String",
+      ],
+    },
+  },
+  "annotations": { # Optional. The annotations map for the AliasNetworkEndpoint.
+      # Keys and values must follow Kubernetes limits.
+      # Keys must be a maximum of 253 characters. Keys should be dot-namespaced,
+      # following the Kubernetes annotation key format:
+      # `([DNS subdomain]/)?[RFC 1123 name]`.
+      # Values must be a maximum of 256 characters.
+    "a_key": "A String",
+  },
+  "creationTimestamp": "A String", # Output only. [Output Only] Creation timestamp in RFC3339 text format.
+  "description": "A String", # Optional. An optional description of this resource. Provide this field when you
+      # create the resource.
+  "host": { # Information about the host instance. # Required. The host that the alias network endpoint is bound to.
+    "instance": "A String", # Required. The URL to the instance that this alias network endpoint is bound to.
+  },
+  "id": "A String", # Output only. [Output Only] The unique identifier for the resource. This identifier is
+      # defined by the server.
+  "labels": { # Optional. The labels map for the AliasNetworkEndpoint.
+    "a_key": "A String",
+  },
+  "name": "A String", # Identifier. Name of the resource. Provided by the client when the resource is created.
+      # The name must be 1-63 characters long, and comply with RFC1035.
+  "securityTagInheritance": "A String", # Optional. The security tag inheritance setting for the AliasNetworkEndpoint.
+  "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+  "status": { # Represents the current status of the AliasNetworkEndpoint. # Output only. [Output Only] Current status of the alias network endpoint.
+    "network": "A String", # Output only. [Output Only] The URL of the network that this alias network endpoint
+        # belongs to.
+    "state": "A String", # Output only. [Output Only] The state of the alias network endpoint.
+  },
+  "subnetwork": "A String", # Required. The URL of the subnetwork that this alias network endpoint belongs to.
+  "updateTime": "A String", # Output only. [Output Only] Update timestamp in RFC3339 text format.
+}
+
+  requestId: string, An optional request ID to identify requests. Specify a unique request ID so
+that if you must retry your request, the server will know to ignore the
+request if it has already been completed.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Represents an Operation resource.
+    #
+    # Google Compute Engine has three Operation resources:
+    #
+    # * [Global](/compute/docs/reference/rest/v1/globalOperations)
+    # * [Regional](/compute/docs/reference/rest/v1/regionOperations)
+    # * [Zonal](/compute/docs/reference/rest/v1/zoneOperations)
+    #
+    # You can use an operation resource to manage asynchronous API requests.
+    # For more information, readHandling
+    # API responses.
+    #
+    # Operations can be global, regional or zonal.
+    #
+    #    - For global operations, use the `globalOperations`
+    #    resource.
+    #    - For regional operations, use the
+    #    `regionOperations` resource.
+    #    - For zonal operations, use
+    #    the `zoneOperations` resource.
+    #
+    #
+    #
+    # For more information, read
+    # Global, Regional, and Zonal Resources.
+    #
+    # Note that completed Operation resources have a limited
+    # retention period.
+  "clientOperationId": "A String", # [Output Only] The value of `requestId` if you provided it in the request.
+      # Not present otherwise.
+  "creationTimestamp": "A String", # [Deprecated] This field is deprecated.
+  "description": "A String", # [Output Only] A textual description of the operation, which is
+      # set when the operation is created.
+  "endTime": "A String", # [Output Only] The time that this operation was completed. This value is inRFC3339
+      # text format.
+  "error": { # [Output Only] If errors are generated during processing of the operation,
+      # this field will be populated.
+    "errors": [ # [Output Only] The array of errors encountered while processing this
+        # operation.
+      { # Represents a single error encountered during the processing of an
+          # operation.
+        "code": "A String", # [Output Only] The error type identifier for this error.
+        "errorDetails": [ # [Output Only] An optional list of messages that contain the error
+            # details. There is a set of defined message types to use for providing
+            # details.The syntax depends on the error code. For example,
+            # QuotaExceededInfo will have details when the error code is
+            # QUOTA_EXCEEDED.
+          { # Container for structured error details providing additional context
+              # specific to the encountered error code.
+            "errorInfo": { # Describes the cause of the error with structured details. # Error information containing structured domain, reason, and metadata.
+                #
+                # Example of an error when contacting the "pubsub.googleapis.com" API when it
+                # is not enabled:
+                #
+                #     { "reason": "API_DISABLED"
+                #       "domain": "googleapis.com"
+                #       "metadata": {
+                #         "resource": "projects/123",
+                #         "service": "pubsub.googleapis.com"
+                #       }
+                #     }
+                #
+                # This response indicates that the pubsub.googleapis.com API is not enabled.
+                #
+                # Example of an error that is returned when attempting to create a Spanner
+                # instance in a region that is out of stock:
+                #
+                #     { "reason": "STOCKOUT"
+                #       "domain": "spanner.googleapis.com",
+                #       "metadata": {
+                #         "availableRegions": "us-central1,us-east2"
+                #       }
+                #     }
+              "domain": "A String", # The logical grouping to which the "reason" belongs. The error domain
+                  # is typically the registered service name of the tool or product that
+                  # generates the error. Example: "pubsub.googleapis.com". If the error is
+                  # generated by some common infrastructure, the error domain must be a
+                  # globally unique value that identifies the infrastructure. For Google API
+                  # infrastructure, the error domain is "googleapis.com".
+              "metadatas": { # Additional structured details about this error.
+                  #
+                  # Keys must match a regular expression of `a-z+` but should
+                  # ideally be lowerCamelCase. Also, they must be limited to 64 characters in
+                  # length. When identifying the current value of an exceeded limit, the units
+                  # should be contained in the key, not the value.  For example, rather than
+                  # `{"instanceLimit": "100/request"}`, should be returned as,
+                  # `{"instanceLimitPerRequest": "100"}`, if the client exceeds the number of
+                  # instances that can be created in a single (batch) request.
+                "a_key": "A String",
+              },
+              "reason": "A String", # The reason of the error. This is a constant value that identifies the
+                  # proximate cause of the error. Error reasons are unique within a particular
+                  # domain of errors. This should be at most 63 characters and match a
+                  # regular expression of `A-Z+[A-Z0-9]`, which represents
+                  # UPPER_SNAKE_CASE.
+            },
+            "help": { # Provides links to documentation or for performing an out of band action. # Links and information to help the user resolve the error.
+                #
+                # For example, if a quota check failed with an error indicating the calling
+                # project hasn't enabled the accessed service, this can contain a URL pointing
+                # directly to the right place in the developer console to flip the bit.
+              "links": [ # URL(s) pointing to additional information on handling the current error.
+                { # Describes a URL link.
+                  "description": "A String", # Describes what the link offers.
+                  "url": "A String", # The URL of the link.
+                },
+              ],
+            },
+            "localizedMessage": { # Provides a localized error message that is safe to return to the user # A localized human-readable error message intended for end users.
+                # which can be attached to an RPC error.
+              "locale": "A String", # The locale used following the specification defined at
+                  # https://www.rfc-editor.org/rfc/bcp/bcp47.txt.
+                  # Examples are: "en-US", "fr-CH", "es-MX"
+              "message": "A String", # The localized error message in the above locale.
+            },
+            "quotaInfo": { # Additional details for quota exceeded error for resource quota. # Details about quota limits and metrics when a quota is exceeded.
+              "dimensions": { # The map holding related quota dimensions.
+                "a_key": "A String",
+              },
+              "futureLimit": 3.14, # Future quota limit being rolled out. The limit's unit depends on the quota
+                  #  type or metric.
+              "limit": 3.14, # Current effective quota limit. The limit's unit depends on the quota type
+                  # or metric.
+              "limitName": "A String", # The name of the quota limit.
+              "metricName": "A String", # The Compute Engine quota metric name.
+              "rolloutStatus": "A String", # Rollout status of the future quota limit.
+            },
+          },
+        ],
+        "location": "A String", # [Output Only] Indicates the field in the request that caused the error.
+            # This property is optional.
+        "message": "A String", # [Output Only] An optional, human-readable error message.
+      },
+    ],
+  },
+  "getHealthOperationMetadata": { # Metadata for GetHealth operations. # Output only. Metadata for GetHealth operations.
+    "healthInfo": { # Health information. # Output only. The health information.
+      "availabilitySloStatus": "A String", # Output only. The availability SLO status.
+      "healthStatus": "A String", # Output only. The health status.
+      "repairCategory": "A String", # Output only. The repair category.
+      "unhealthyReason": "A String", # Output only. The reason for unhealthy status.
+      "updateTime": "A String", # Output only. The time when health info was updated.
+    },
+  },
+  "getVersionOperationMetadata": {
+    "inlineSbomInfo": {
+      "currentComponentVersions": { # A mapping of components to their currently-applied versions or other
+          # appropriate identifiers.
+        "a_key": "A String",
+      },
+      "targetComponentVersions": { # A mapping of components to their target versions or other appropriate
+          # identifiers.
+        "a_key": "A String",
+      },
+    },
+  },
+  "httpErrorMessage": "A String", # [Output Only] If the operation fails, this field contains the HTTP error
+      # message that was returned, such as `NOT FOUND`.
+  "httpErrorStatusCode": 42, # [Output Only] If the operation fails, this field contains the HTTP error
+      # status code that was returned. For example, a `404` means the
+      # resource was not found.
+  "id": "A String", # [Output Only] The unique identifier for the operation. This identifier is
+      # defined by the server.
+  "insertTime": "A String", # [Output Only] The time that this operation was requested.
+      # This value is inRFC3339
+      # text format.
+  "instancesBulkInsertOperationMetadata": {
+    "perLocationStatus": { # Status information per location (location name is key).
+        # Example key: zones/us-central1-a
+      "a_key": {
+        "createdVmCount": 42, # [Output Only] Count of VMs successfully created so far.
+        "deletedVmCount": 42, # [Output Only] Count of VMs that got deleted during rollback.
+        "failedToCreateVmCount": 42, # [Output Only] Count of VMs that started creating but encountered an
+            # error.
+        "status": "A String", # [Output Only] Creation status of BulkInsert operation - information
+            # if the flow is rolling forward or rolling back.
+        "targetVmCount": 42, # [Output Only] Count of VMs originally planned to be created.
+      },
+    },
+  },
+  "instancesTroubleshootOperationMetadata": { # [Output Only] Operation metadata for instances.troubleshoot. # Output only. [Output Only] Operation metadata for instances.troubleshoot.
+    "troubleshootOutput": "A String", # Output only. [Output Only] Serialized output of the troubleshooting diagnostic run.
+  },
+  "kind": "compute#operation", # Output only. [Output Only] Type of the resource. Always `compute#operation` for
+      # Operation resources.
+  "name": "A String", # [Output Only] Name of the operation.
+  "operationGroupId": "A String", # Output only. [Output Only] An ID that represents a group of operations, such as when a
+      # group of operations results from a `bulkInsert` API request.
+  "operationType": "A String", # [Output Only] The type of operation, such as `insert`,
+      # `update`, or `delete`, and so on.
+  "progress": 42, # [Output Only] An optional progress indicator that ranges from 0 to 100.
+      # There is no requirement that this be linear or support any granularity of
+      # operations. This should not be used to guess when the operation will be
+      # complete. This number should monotonically increase as the operation
+      # progresses.
+  "region": "A String", # [Output Only] The URL of the region where the operation resides. Only
+      # applicable when performing regional operations.
+  "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+  "setCommonInstanceMetadataOperationMetadata": { # Output only. [Output Only] If the operation is for projects.setCommonInstanceMetadata,
+      # this field will contain information on all underlying zonal actions and
+      # their state.
+    "clientOperationId": "A String", # [Output Only] The client operation id.
+    "perLocationOperations": { # [Output Only] Status information per location (location name is key).
+        # Example key: zones/us-central1-a
+      "a_key": {
+        "error": { # The `Status` type defines a logical error model that is suitable for # [Output Only] If state is `ABANDONED` or `FAILED`, this field is
+            # populated.
+            # different programming environments, including REST APIs and RPC APIs. It is
+            # used by [gRPC](https://github.com/grpc). Each `Status` message contains
+            # three pieces of data: error code, error message, and error details.
+            #
+            # You can find out more about this error model and how to work with it in the
+            # [API Design Guide](https://cloud.google.com/apis/design/errors).
+          "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+          "details": [ # A list of messages that carry the error details.  There is a common set of
+              # message types for APIs to use.
+            {
+              "a_key": "", # Properties of the object. Contains field @type with type URL.
+            },
+          ],
+          "message": "A String", # A developer-facing error message, which should be in English. Any
+              # user-facing error message should be localized and sent in the
+              # google.rpc.Status.details field, or localized by the client.
+        },
+        "state": "A String", # [Output Only] Status of the action, which can be one of the following:
+            # `PROPAGATING`, `PROPAGATED`, `ABANDONED`, `FAILED`, or `DONE`.
+      },
+    },
+  },
+  "startTime": "A String", # [Output Only] The time that this operation was started by the server.
+      # This value is inRFC3339
+      # text format.
+  "status": "A String", # [Output Only] The status of the operation, which can be one of the
+      # following:
+      # `PENDING`, `RUNNING`, or `DONE`.
+  "statusMessage": "A String", # [Output Only] An optional textual description of the current status of the
+      # operation.
+  "targetId": "A String", # [Output Only] The unique target ID, which identifies a specific incarnation
+      # of the target resource.
+  "targetLink": "A String", # [Output Only] The URL of the resource that the operation modifies. For
+      # operations related to creating a snapshot, this points to the disk
+      # that the snapshot was created from.
+  "user": "A String", # [Output Only] User who requested the operation, for example:
+      # `user@example.com` or
+      # `alice_smith_identifier (global/workforcePools/example-com-us-employees)`.
+  "warnings": [ # [Output Only] If warning messages are generated during processing of the
+      # operation, this field will be populated.
+    {
+      "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
+          # Engine returns NO_RESULTS_ON_PAGE if there
+          # are no results in the response.
+      "data": [ # [Output Only] Metadata about this warning in key:
+          # value format. For example:
+          #
+          # "data": [
+          #   {
+          #    "key": "scope",
+          #    "value": "zones/us-east1-d"
+          #   }]
+        {
+          "key": "A String", # [Output Only] A key that provides more detail on the warning being
+              # returned. For example, for warnings where there are no results in a list
+              # request for a particular zone, this key might be scope and
+              # the key value might be the zone name. Other examples might be a key
+              # indicating a deprecated resource and a suggested replacement, or a
+              # warning about invalid network settings (for example, if an instance
+              # attempts to perform IP forwarding but is not enabled for IP forwarding).
+          "value": "A String", # [Output Only] A warning data value corresponding to the key.
+        },
+      ],
+      "message": "A String", # [Output Only] A human-readable description of the warning code.
+    },
+  ],
+  "zone": "A String", # [Output Only] The URL of the zone where the operation resides. Only
+      # applicable when performing per-zone operations.
+}

+

+
+

+    list(project, zone, filter=None, maxResults=None, orderBy=None, pageToken=None, x__xgafv=None)
+  
Retrieves a list of AliasNetworkEndpoints available to the specified
+project.
+
+Args:
+  project: string, Required. Project ID for this request. (required)
+  zone: string, Required. Name of the zone of this request. (required)
+  filter: string, A filter expression that filters resources listed in the response. Most
+Compute resources support two types of filter expressions:
+expressions that support regular expressions and expressions that follow
+API improvement proposal AIP-160.
+These two types of filter expressions cannot be mixed in one request.
+
+If you want to use AIP-160, your expression must specify the field name, an
+operator, and the value that you want to use for filtering. The value
+must be a string, a number, or a boolean. The operator
+must be either `=`, `!=`, `>`, `<`, `<=`, `>=` or `:`.
+
+For example, if you are filtering Compute Engine instances, you can
+exclude instances named `example-instance` by specifying
+`name != example-instance`.
+
+The `:*` comparison can be used to test whether a key has been defined.
+For example, to find all objects with `owner` label use:
+```
+labels.owner:*
+```
+
+You can also filter nested fields. For example, you could specify
+`scheduling.automaticRestart = false` to include instances only
+if they are not scheduled for automatic restarts. You can use filtering
+on nested fields to filter based onresource labels.
+
+To filter on multiple expressions, provide each separate expression within
+parentheses. For example:
+```
+(scheduling.automaticRestart = true)
+(cpuPlatform = "Intel Skylake")
+```
+By default, each expression is an `AND` expression. However, you
+can include `AND` and `OR` expressions explicitly.
+For example:
+```
+(cpuPlatform = "Intel Skylake") OR
+(cpuPlatform = "Intel Broadwell") AND
+(scheduling.automaticRestart = true)
+```
+
+If you want to use a regular expression, use the `eq` (equal) or `ne`
+(not equal) operator against a single un-parenthesized expression with or
+without quotes or against multiple parenthesized expressions. Examples:
+
+`fieldname eq unquoted literal`
+`fieldname eq 'single quoted literal'`
+`fieldname eq "double quoted literal"`
+`(fieldname1 eq literal) (fieldname2 ne "literal")`
+
+The literal value is interpreted as a regular expression using GoogleRE2 library syntax.
+The literal value must match the entire field.
+
+For example, to filter for instances that do not end with name "instance",
+you would use `name ne .*instance`.
+
+You cannot combine constraints on multiple fields using regular
+expressions.
+  maxResults: integer, The maximum number of results per page that should be returned.
+If the number of available results is larger than `maxResults`,
+Compute Engine returns a `nextPageToken` that can be used to get
+the next page of results in subsequent list requests. Acceptable values are
+`0` to `500`, inclusive. (Default: `500`)
+  orderBy: string, Sorts list results by a certain order. By default, results
+are returned in alphanumerical order based on the resource name.
+
+You can also sort results in descending order based on the creation
+timestamp using `orderBy="creationTimestamp desc"`. This sorts
+results based on the `creationTimestamp` field in
+reverse chronological order (newest result first). Use this to sort
+resources like operations so that the newest operation is returned first.
+
+Currently, only sorting by `name` or
+`creationTimestamp desc` is supported.
+  pageToken: string, Specifies a page token to use. Set `pageToken` to the
+`nextPageToken` returned by a previous list request to get
+the next page of results.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for AliasNetworkEndpoints.List.
+  "etag": "A String", # ETag of the resource list.
+  "id": "A String", # [Output Only] Unique identifier for the resource; defined by the server.
+  "items": [ # A list of AliasNetworkEndpoint resources.
+    { # Represents an Alias Network Endpoint resource.
+        # To be used for GKE pod-native endpoints in Andromeda.
+      "aliases": { # Required. The map of network aliases allocated for the AliasNetworkEndpoint.
+          # This map is keyed with user-provided alias names.
+        "a_key": { # Configuration for an IP alias.
+          "effectiveIpAddress": "A String", # Output only. [Output Only] The actual IP address allocated by the system.
+          "effectiveSubnetworkRangeName": "A String", # Output only. [Output Only] The actual secondary range used for allocation.
+          "ipAddress": "A String", # Input only. The IP address of the network endpoint. If specified, the server performs
+              # a validation check for uniqueness. If the field is omitted, the system
+              # automatically allocates an IP and populates the effective_ip_address
+              # field.
+          "ipVersion": "A String", # Required. The IP version of the IP. It is IPv4 or IPv6.
+          "subnetworkRangeNames": [ # Input only. Defines candidate secondary ranges for allocating the alias IPs. If it is
+              # empty, the IP would be allocated from the primary range of the
+              # subnetwork.
+              # This field is INPUT_ONLY and used only during resource creation,
+              # hence a repeated field is acceptable as per AIP-2825. It is not mutable.
+            "A String",
+          ],
+        },
+      },
+      "annotations": { # Optional. The annotations map for the AliasNetworkEndpoint.
+          # Keys and values must follow Kubernetes limits.
+          # Keys must be a maximum of 253 characters. Keys should be dot-namespaced,
+          # following the Kubernetes annotation key format:
+          # `([DNS subdomain]/)?[RFC 1123 name]`.
+          # Values must be a maximum of 256 characters.
+        "a_key": "A String",
+      },
+      "creationTimestamp": "A String", # Output only. [Output Only] Creation timestamp in RFC3339 text format.
+      "description": "A String", # Optional. An optional description of this resource. Provide this field when you
+          # create the resource.
+      "host": { # Information about the host instance. # Required. The host that the alias network endpoint is bound to.
+        "instance": "A String", # Required. The URL to the instance that this alias network endpoint is bound to.
+      },
+      "id": "A String", # Output only. [Output Only] The unique identifier for the resource. This identifier is
+          # defined by the server.
+      "labels": { # Optional. The labels map for the AliasNetworkEndpoint.
+        "a_key": "A String",
+      },
+      "name": "A String", # Identifier. Name of the resource. Provided by the client when the resource is created.
+          # The name must be 1-63 characters long, and comply with RFC1035.
+      "securityTagInheritance": "A String", # Optional. The security tag inheritance setting for the AliasNetworkEndpoint.
+      "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+      "status": { # Represents the current status of the AliasNetworkEndpoint. # Output only. [Output Only] Current status of the alias network endpoint.
+        "network": "A String", # Output only. [Output Only] The URL of the network that this alias network endpoint
+            # belongs to.
+        "state": "A String", # Output only. [Output Only] The state of the alias network endpoint.
+      },
+      "subnetwork": "A String", # Required. The URL of the subnetwork that this alias network endpoint belongs to.
+      "updateTime": "A String", # Output only. [Output Only] Update timestamp in RFC3339 text format.
+    },
+  ],
+  "nextPageToken": "A String", # [Output Only] This token allows you to get the next page of results for
+      # list requests. If the number of results is larger thanmaxResults, use the nextPageToken as a value for
+      # the query parameter pageToken in the next list request.
+      # Subsequent list requests will have their own nextPageToken to
+      # continue paging through the results.
+  "selfLink": "A String", # [Output Only] Server-defined URL for this resource.
+  "unreachables": [ # Output only. [Output Only] Unreachable resources.
+    "A String",
+  ],
+  "warning": { # [Output Only] Informational warning message.
+    "code": "A String", # [Output Only] A warning code, if applicable. For example, Compute
+        # Engine returns NO_RESULTS_ON_PAGE if there
+        # are no results in the response.
+    "data": [ # [Output Only] Metadata about this warning in key:
+        # value format. For example:
+        #
+        # "data": [
+        #   {
+        #    "key": "scope",
+        #    "value": "zones/us-east1-d"
+        #   }]
+      {
+        "key": "A String", # [Output Only] A key that provides more detail on the warning being
+            # returned. For example, for warnings where there are no results in a list
+            # request for a particular zone, this key might be scope and
+            # the key value might be the zone name. Other examples might be a key
+            # indicating a deprecated resource and a suggested replacement, or a
+            # warning about invalid network settings (for example, if an instance
+            # attempts to perform IP forwarding but is not enabled for IP forwarding).
+        "value": "A String", # [Output Only] A warning data value corresponding to the key.
+      },
+    ],
+    "message": "A String", # [Output Only] A human-readable description of the warning code.
+  },
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/compute_preview.globalAddresses.html b/docs/dyn/compute_preview.globalAddresses.html
index 9a401ed24e..8e71e4ac69 100644
--- a/docs/dyn/compute_preview.globalAddresses.html
+++ b/docs/dyn/compute_preview.globalAddresses.html
@@ -505,6 +505,9 @@ 
Method Details

       # character must be a lowercase letter or digit.
   "network": "A String", # The URL of the network in which to reserve the address. This field can
       # only be used with INTERNAL type with theVPC_PEERING purpose.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this address comes from in the
+      # following format:
+      # projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkTier": "A String", # This signifies the networking tier used for configuring this address and
       # can only take the following values: PREMIUM orSTANDARD. Internal IP addresses are always Premium Tier;
       # global external IP addresses are always Premium Tier; regional external IP
@@ -548,6 +551,9 @@ 
Method Details

       # the HTTP request URL. *This field is not applicable to global
       # addresses.*
   "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. Producer Service's Service class ID for the region of this address. Can
+      # only be used with network_attachment. It is not possible to use on its own;
+      # however, network_attachment can be used without service_class_id.
   "status": "A String", # Output only. [Output Only] The status of the address, which can be one ofRESERVING, RESERVED, or IN_USE.
       # An address that is RESERVING is currently in the process of
       # being reserved. A RESERVED address is currently reserved and
@@ -649,6 +655,9 @@ 
Method Details

       # character must be a lowercase letter or digit.
   "network": "A String", # The URL of the network in which to reserve the address. This field can
       # only be used with INTERNAL type with theVPC_PEERING purpose.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this address comes from in the
+      # following format:
+      # projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkTier": "A String", # This signifies the networking tier used for configuring this address and
       # can only take the following values: PREMIUM orSTANDARD. Internal IP addresses are always Premium Tier;
       # global external IP addresses are always Premium Tier; regional external IP
@@ -692,6 +701,9 @@ 
Method Details

       # the HTTP request URL. *This field is not applicable to global
       # addresses.*
   "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. Producer Service's Service class ID for the region of this address. Can
+      # only be used with network_attachment. It is not possible to use on its own;
+      # however, network_attachment can be used without service_class_id.
   "status": "A String", # Output only. [Output Only] The status of the address, which can be one ofRESERVING, RESERVED, or IN_USE.
       # An address that is RESERVING is currently in the process of
       # being reserved. A RESERVED address is currently reserved and
@@ -1175,6 +1187,9 @@ 
Method Details

           # character must be a lowercase letter or digit.
       "network": "A String", # The URL of the network in which to reserve the address. This field can
           # only be used with INTERNAL type with theVPC_PEERING purpose.
+      "networkAttachment": "A String", # Optional. The URL of the network attachment that this address comes from in the
+          # following format:
+          # projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
       "networkTier": "A String", # This signifies the networking tier used for configuring this address and
           # can only take the following values: PREMIUM orSTANDARD. Internal IP addresses are always Premium Tier;
           # global external IP addresses are always Premium Tier; regional external IP
@@ -1218,6 +1233,9 @@ 
Method Details

           # the HTTP request URL. *This field is not applicable to global
           # addresses.*
       "selfLink": "A String", # [Output Only] Server-defined URL for the resource.
+      "serviceClassId": "A String", # Optional. Producer Service's Service class ID for the region of this address. Can
+          # only be used with network_attachment. It is not possible to use on its own;
+          # however, network_attachment can be used without service_class_id.
       "status": "A String", # Output only. [Output Only] The status of the address, which can be one ofRESERVING, RESERVED, or IN_USE.
           # An address that is RESERVING is currently in the process of
           # being reserved. A RESERVED address is currently reserved and
diff --git a/docs/dyn/compute_preview.globalNetworkEndpointGroups.html b/docs/dyn/compute_preview.globalNetworkEndpointGroups.html
index 2689bfe0a0..06680c6e82 100644
--- a/docs/dyn/compute_preview.globalNetworkEndpointGroups.html
+++ b/docs/dyn/compute_preview.globalNetworkEndpointGroups.html
@@ -1267,6 +1267,8 @@ 
Method Details

       # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
       # global NEGs.
       # For all other network endpoint types, this field is required.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+      # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
   "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
       # type PRIVATE_SERVICE_CONNECT.
@@ -1288,6 +1290,10 @@ 
Method Details

   "region": "A String", # Output only. [Output Only] The URL of theregion
       # where the network endpoint group is located.
   "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+      # Can only be used with network_attachment. It is not possible to
+      # use on its own; however, network_attachment can be used without
+      # service_class_id.
   "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
   "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
       # belong.
@@ -1452,6 +1458,8 @@ 
Method Details

       # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
       # global NEGs.
       # For all other network endpoint types, this field is required.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+      # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
   "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
       # type PRIVATE_SERVICE_CONNECT.
@@ -1473,6 +1481,10 @@ 
Method Details

   "region": "A String", # Output only. [Output Only] The URL of theregion
       # where the network endpoint group is located.
   "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+      # Can only be used with network_attachment. It is not possible to
+      # use on its own; however, network_attachment can be used without
+      # service_class_id.
   "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
   "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
       # belong.
@@ -2006,6 +2018,8 @@ 
Method Details

           # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
           # global NEGs.
           # For all other network endpoint types, this field is required.
+      "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+          # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
       "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
       "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
           # type PRIVATE_SERVICE_CONNECT.
@@ -2027,6 +2041,10 @@ 
Method Details

       "region": "A String", # Output only. [Output Only] The URL of theregion
           # where the network endpoint group is located.
       "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+      "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+          # Can only be used with network_attachment. It is not possible to
+          # use on its own; however, network_attachment can be used without
+          # service_class_id.
       "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
       "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
           # belong.
diff --git a/docs/dyn/compute_preview.haControllers.html b/docs/dyn/compute_preview.haControllers.html
index c05c512d62..6a6e80328e 100644
--- a/docs/dyn/compute_preview.haControllers.html
+++ b/docs/dyn/compute_preview.haControllers.html
@@ -255,6 +255,12 @@ 
Method Details

                   # naming consistent with NetworkInterface configuration on Instances.
             },
           },
+          "params": { # Additional HA Controller params. # Input only. Additional parameters passed with the request, but not persisted as part
+              # of the resource. Both `params: null` and `params: {}` are treated
+              # identically as a no-op.
+            "migrateDisksToRegional": True or False, # Specifies whether to automatically migrate all disks of an instance from
+                # zonal to regional before attempting to create the HaController.
+          },
           "region": "A String", # Output only. [Output Only] URL of the region where the resource resides.
               # You must specify this field as part of the HTTP request URL.
               # It is not settable as a field in the request body.
@@ -617,6 +623,35 @@ 
Method Details

               # Value: ZoneConfiguration
             "a_key": { # Config for a zone that the HaController may use for running the VM
                 # instance.
+              "instanceNetworkInterfaces": { # Optional. The network interface configuration of a VM instance in this zone,
+                  # keyed by the name of the network interface. A VM network interface
+                  # uses the nicN naming format, where N is a
+                  # value between 0 and 7. The default interface
+                  # is nic0. Use this field to choose the internal IP
+                  # addresses of the VM instance in this zone instead of letting Compute
+                  # Engine assign them automatically.
+                  #
+                  #
+                  #       - Each key must be a name of a network interface that exists on
+                  #       the VM instance. Otherwise, the request fails.
+                  #       - Network interfaces that are omitted are assigned an ephemeral
+                  #       internal IP address.
+                  #       - Every zone must configure the same network interfaces and the
+                  #       same IP address families.
+                  #       - For the zone that currently holds the VM instance, this field
+                  #       is populated automatically, and any addresses you specify must
+                  #       match the instance's current addresses.
+                  #       - Only internal IP addresses are supported, and this field can
+                  #       only be set when the HA Controller is created.
+                "a_key": { # The network interface configuration of the VM instance.
+                  "ipv6Address": "A String", # Optional. Optional IPv6 address to assign to the instance's network interface.
+                      # If omitted, an ephemeral IP may be assigned depending on the instance's
+                      # network interface stack type.
+                  "networkIP": "A String", # Optional. Optional IPv4 address to assign to the instance's network interface.
+                      # If omitted, an ephemeral IP may be assigned depending on the instance's
+                      # network interface stack type.
+                },
+              },
               "nodeAffinities": [ # A set of node affinity configurations. Refer toConfiguring node
                   # affinity for more information.
                   # Overrides reservationAffinity.
@@ -1401,6 +1436,12 @@ 
Method Details

           # naming consistent with NetworkInterface configuration on Instances.
     },
   },
+  "params": { # Additional HA Controller params. # Input only. Additional parameters passed with the request, but not persisted as part
+      # of the resource. Both `params: null` and `params: {}` are treated
+      # identically as a no-op.
+    "migrateDisksToRegional": True or False, # Specifies whether to automatically migrate all disks of an instance from
+        # zonal to regional before attempting to create the HaController.
+  },
   "region": "A String", # Output only. [Output Only] URL of the region where the resource resides.
       # You must specify this field as part of the HTTP request URL.
       # It is not settable as a field in the request body.
@@ -1763,6 +1804,35 @@ 
Method Details

       # Value: ZoneConfiguration
     "a_key": { # Config for a zone that the HaController may use for running the VM
         # instance.
+      "instanceNetworkInterfaces": { # Optional. The network interface configuration of a VM instance in this zone,
+          # keyed by the name of the network interface. A VM network interface
+          # uses the nicN naming format, where N is a
+          # value between 0 and 7. The default interface
+          # is nic0. Use this field to choose the internal IP
+          # addresses of the VM instance in this zone instead of letting Compute
+          # Engine assign them automatically.
+          #
+          #
+          #       - Each key must be a name of a network interface that exists on
+          #       the VM instance. Otherwise, the request fails.
+          #       - Network interfaces that are omitted are assigned an ephemeral
+          #       internal IP address.
+          #       - Every zone must configure the same network interfaces and the
+          #       same IP address families.
+          #       - For the zone that currently holds the VM instance, this field
+          #       is populated automatically, and any addresses you specify must
+          #       match the instance's current addresses.
+          #       - Only internal IP addresses are supported, and this field can
+          #       only be set when the HA Controller is created.
+        "a_key": { # The network interface configuration of the VM instance.
+          "ipv6Address": "A String", # Optional. Optional IPv6 address to assign to the instance's network interface.
+              # If omitted, an ephemeral IP may be assigned depending on the instance's
+              # network interface stack type.
+          "networkIP": "A String", # Optional. Optional IPv4 address to assign to the instance's network interface.
+              # If omitted, an ephemeral IP may be assigned depending on the instance's
+              # network interface stack type.
+        },
+      },
       "nodeAffinities": [ # A set of node affinity configurations. Refer toConfiguring node
           # affinity for more information.
           # Overrides reservationAffinity.
@@ -1851,6 +1921,12 @@ 
Method Details

           # naming consistent with NetworkInterface configuration on Instances.
     },
   },
+  "params": { # Additional HA Controller params. # Input only. Additional parameters passed with the request, but not persisted as part
+      # of the resource. Both `params: null` and `params: {}` are treated
+      # identically as a no-op.
+    "migrateDisksToRegional": True or False, # Specifies whether to automatically migrate all disks of an instance from
+        # zonal to regional before attempting to create the HaController.
+  },
   "region": "A String", # Output only. [Output Only] URL of the region where the resource resides.
       # You must specify this field as part of the HTTP request URL.
       # It is not settable as a field in the request body.
@@ -2213,6 +2289,35 @@ 
Method Details

       # Value: ZoneConfiguration
     "a_key": { # Config for a zone that the HaController may use for running the VM
         # instance.
+      "instanceNetworkInterfaces": { # Optional. The network interface configuration of a VM instance in this zone,
+          # keyed by the name of the network interface. A VM network interface
+          # uses the nicN naming format, where N is a
+          # value between 0 and 7. The default interface
+          # is nic0. Use this field to choose the internal IP
+          # addresses of the VM instance in this zone instead of letting Compute
+          # Engine assign them automatically.
+          #
+          #
+          #       - Each key must be a name of a network interface that exists on
+          #       the VM instance. Otherwise, the request fails.
+          #       - Network interfaces that are omitted are assigned an ephemeral
+          #       internal IP address.
+          #       - Every zone must configure the same network interfaces and the
+          #       same IP address families.
+          #       - For the zone that currently holds the VM instance, this field
+          #       is populated automatically, and any addresses you specify must
+          #       match the instance's current addresses.
+          #       - Only internal IP addresses are supported, and this field can
+          #       only be set when the HA Controller is created.
+        "a_key": { # The network interface configuration of the VM instance.
+          "ipv6Address": "A String", # Optional. Optional IPv6 address to assign to the instance's network interface.
+              # If omitted, an ephemeral IP may be assigned depending on the instance's
+              # network interface stack type.
+          "networkIP": "A String", # Optional. Optional IPv4 address to assign to the instance's network interface.
+              # If omitted, an ephemeral IP may be assigned depending on the instance's
+              # network interface stack type.
+        },
+      },
       "nodeAffinities": [ # A set of node affinity configurations. Refer toConfiguring node
           # affinity for more information.
           # Overrides reservationAffinity.
@@ -2675,6 +2780,12 @@ 
Method Details

               # naming consistent with NetworkInterface configuration on Instances.
         },
       },
+      "params": { # Additional HA Controller params. # Input only. Additional parameters passed with the request, but not persisted as part
+          # of the resource. Both `params: null` and `params: {}` are treated
+          # identically as a no-op.
+        "migrateDisksToRegional": True or False, # Specifies whether to automatically migrate all disks of an instance from
+            # zonal to regional before attempting to create the HaController.
+      },
       "region": "A String", # Output only. [Output Only] URL of the region where the resource resides.
           # You must specify this field as part of the HTTP request URL.
           # It is not settable as a field in the request body.
@@ -3037,6 +3148,35 @@ 
Method Details

           # Value: ZoneConfiguration
         "a_key": { # Config for a zone that the HaController may use for running the VM
             # instance.
+          "instanceNetworkInterfaces": { # Optional. The network interface configuration of a VM instance in this zone,
+              # keyed by the name of the network interface. A VM network interface
+              # uses the nicN naming format, where N is a
+              # value between 0 and 7. The default interface
+              # is nic0. Use this field to choose the internal IP
+              # addresses of the VM instance in this zone instead of letting Compute
+              # Engine assign them automatically.
+              #
+              #
+              #       - Each key must be a name of a network interface that exists on
+              #       the VM instance. Otherwise, the request fails.
+              #       - Network interfaces that are omitted are assigned an ephemeral
+              #       internal IP address.
+              #       - Every zone must configure the same network interfaces and the
+              #       same IP address families.
+              #       - For the zone that currently holds the VM instance, this field
+              #       is populated automatically, and any addresses you specify must
+              #       match the instance's current addresses.
+              #       - Only internal IP addresses are supported, and this field can
+              #       only be set when the HA Controller is created.
+            "a_key": { # The network interface configuration of the VM instance.
+              "ipv6Address": "A String", # Optional. Optional IPv6 address to assign to the instance's network interface.
+                  # If omitted, an ephemeral IP may be assigned depending on the instance's
+                  # network interface stack type.
+              "networkIP": "A String", # Optional. Optional IPv4 address to assign to the instance's network interface.
+                  # If omitted, an ephemeral IP may be assigned depending on the instance's
+                  # network interface stack type.
+            },
+          },
           "nodeAffinities": [ # A set of node affinity configurations. Refer toConfiguring node
               # affinity for more information.
               # Overrides reservationAffinity.
@@ -3175,6 +3315,12 @@ 
Method Details

           # naming consistent with NetworkInterface configuration on Instances.
     },
   },
+  "params": { # Additional HA Controller params. # Input only. Additional parameters passed with the request, but not persisted as part
+      # of the resource. Both `params: null` and `params: {}` are treated
+      # identically as a no-op.
+    "migrateDisksToRegional": True or False, # Specifies whether to automatically migrate all disks of an instance from
+        # zonal to regional before attempting to create the HaController.
+  },
   "region": "A String", # Output only. [Output Only] URL of the region where the resource resides.
       # You must specify this field as part of the HTTP request URL.
       # It is not settable as a field in the request body.
@@ -3537,6 +3683,35 @@ 
Method Details

       # Value: ZoneConfiguration
     "a_key": { # Config for a zone that the HaController may use for running the VM
         # instance.
+      "instanceNetworkInterfaces": { # Optional. The network interface configuration of a VM instance in this zone,
+          # keyed by the name of the network interface. A VM network interface
+          # uses the nicN naming format, where N is a
+          # value between 0 and 7. The default interface
+          # is nic0. Use this field to choose the internal IP
+          # addresses of the VM instance in this zone instead of letting Compute
+          # Engine assign them automatically.
+          #
+          #
+          #       - Each key must be a name of a network interface that exists on
+          #       the VM instance. Otherwise, the request fails.
+          #       - Network interfaces that are omitted are assigned an ephemeral
+          #       internal IP address.
+          #       - Every zone must configure the same network interfaces and the
+          #       same IP address families.
+          #       - For the zone that currently holds the VM instance, this field
+          #       is populated automatically, and any addresses you specify must
+          #       match the instance's current addresses.
+          #       - Only internal IP addresses are supported, and this field can
+          #       only be set when the HA Controller is created.
+        "a_key": { # The network interface configuration of the VM instance.
+          "ipv6Address": "A String", # Optional. Optional IPv6 address to assign to the instance's network interface.
+              # If omitted, an ephemeral IP may be assigned depending on the instance's
+              # network interface stack type.
+          "networkIP": "A String", # Optional. Optional IPv4 address to assign to the instance's network interface.
+              # If omitted, an ephemeral IP may be assigned depending on the instance's
+              # network interface stack type.
+        },
+      },
       "nodeAffinities": [ # A set of node affinity configurations. Refer toConfiguring node
           # affinity for more information.
           # Overrides reservationAffinity.
diff --git a/docs/dyn/compute_preview.html b/docs/dyn/compute_preview.html
index 089b55848f..535d3e1f85 100644
--- a/docs/dyn/compute_preview.html
+++ b/docs/dyn/compute_preview.html
@@ -99,6 +99,11 @@ 
Instance Methods

 

 
Returns the advice Resource.

 
+

+  aliasNetworkEndpoints()
+

+
Returns the aliasNetworkEndpoints Resource.

+
 

   autoscalers()
 

diff --git a/docs/dyn/compute_preview.instanceTemplates.html b/docs/dyn/compute_preview.instanceTemplates.html
index 52063d5847..89a9d507b8 100644
--- a/docs/dyn/compute_preview.instanceTemplates.html
+++ b/docs/dyn/compute_preview.instanceTemplates.html
@@ -826,6 +826,21 @@ 
Method Details

                         # assign an external IPv6 address from the instance's subnetwork.
                     "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                         # external IPv6 range.
+                    "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                        # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                        # The PDP must support enhanced IPv4 allocations.
+                        #
+                        # Use one of the following formats to specify a PDP when allocating an
+                        # external IPv4 address using BYOIP.
+                        #
+                        #    -
+                        #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                        #    -
+                        #    Partial URL, as in
+                        #
+                        #
+                        #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                        #           - regions/region/publicDelegatedPrefixes/pdp-name
                     "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                     "name": "A String", # The name of this access configuration. In accessConfigs
                         # (IPv4), the default and recommended name is External NAT, but
@@ -906,6 +921,21 @@ 
Method Details

                         # assign an external IPv6 address from the instance's subnetwork.
                     "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                         # external IPv6 range.
+                    "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                        # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                        # The PDP must support enhanced IPv4 allocations.
+                        #
+                        # Use one of the following formats to specify a PDP when allocating an
+                        # external IPv4 address using BYOIP.
+                        #
+                        #    -
+                        #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                        #    -
+                        #    Partial URL, as in
+                        #
+                        #
+                        #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                        #           - regions/region/publicDelegatedPrefixes/pdp-name
                     "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                     "name": "A String", # The name of this access configuration. In accessConfigs
                         # (IPv4), the default and recommended name is External NAT, but
@@ -1148,6 +1178,9 @@ 
Method Details

                     # to 315,576,000,000 inclusive. Note: these bounds are computed from:
                     # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
               },
+              "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+                  # expectations in the event of infrastructure failures at data center
+                  # (e.g. power and/or cooling failures).
               "provisioningModel": "A String", # Specifies the provisioning model of the instance.
               "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
                   # Off and ACPI G3 Mechanical
@@ -2256,6 +2289,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -2336,6 +2384,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -2578,6 +2641,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -3663,6 +3729,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -3743,6 +3824,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -3985,6 +4081,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -5082,6 +5181,21 @@ 
Method Details

                     # assign an external IPv6 address from the instance's subnetwork.
                 "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                     # external IPv6 range.
+                "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                    # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                    # The PDP must support enhanced IPv4 allocations.
+                    #
+                    # Use one of the following formats to specify a PDP when allocating an
+                    # external IPv4 address using BYOIP.
+                    #
+                    #    -
+                    #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #    -
+                    #    Partial URL, as in
+                    #
+                    #
+                    #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #           - regions/region/publicDelegatedPrefixes/pdp-name
                 "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                 "name": "A String", # The name of this access configuration. In accessConfigs
                     # (IPv4), the default and recommended name is External NAT, but
@@ -5162,6 +5276,21 @@ 
Method Details

                     # assign an external IPv6 address from the instance's subnetwork.
                 "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                     # external IPv6 range.
+                "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                    # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                    # The PDP must support enhanced IPv4 allocations.
+                    #
+                    # Use one of the following formats to specify a PDP when allocating an
+                    # external IPv4 address using BYOIP.
+                    #
+                    #    -
+                    #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #    -
+                    #    Partial URL, as in
+                    #
+                    #
+                    #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #           - regions/region/publicDelegatedPrefixes/pdp-name
                 "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                 "name": "A String", # The name of this access configuration. In accessConfigs
                     # (IPv4), the default and recommended name is External NAT, but
@@ -5404,6 +5533,9 @@ 
Method Details

                 # to 315,576,000,000 inclusive. Note: these bounds are computed from:
                 # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
           },
+          "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+              # expectations in the event of infrastructure failures at data center
+              # (e.g. power and/or cooling failures).
           "provisioningModel": "A String", # Specifies the provisioning model of the instance.
           "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
               # Off and ACPI G3 Mechanical
diff --git a/docs/dyn/compute_preview.instances.html b/docs/dyn/compute_preview.instances.html
index 25e63df214..aac3531dff 100644
--- a/docs/dyn/compute_preview.instances.html
+++ b/docs/dyn/compute_preview.instances.html
@@ -265,6 +265,21 @@ 
Method Details

       # assign an external IPv6 address from the instance's subnetwork.
   "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
       # external IPv6 range.
+  "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+      # like a PublicDelegatedPrefix (PDP) for BYOIP.
+      # The PDP must support enhanced IPv4 allocations.
+      # 
+      # Use one of the following formats to specify a PDP when allocating an
+      # external IPv4 address using BYOIP.
+      # 
+      #    -
+      #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+      #    -
+      #    Partial URL, as in
+      # 
+      # 
+      #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+      #           - regions/region/publicDelegatedPrefixes/pdp-name
   "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
   "name": "A String", # The name of this access configuration. In accessConfigs
       # (IPv4), the default and recommended name is External NAT, but
@@ -625,6 +640,21 @@ 
Method Details

           # assign an external IPv6 address from the instance's subnetwork.
       "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
           # external IPv6 range.
+      "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+          # like a PublicDelegatedPrefix (PDP) for BYOIP.
+          # The PDP must support enhanced IPv4 allocations.
+          #
+          # Use one of the following formats to specify a PDP when allocating an
+          # external IPv4 address using BYOIP.
+          #
+          #    -
+          #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+          #    -
+          #    Partial URL, as in
+          #
+          #
+          #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+          #           - regions/region/publicDelegatedPrefixes/pdp-name
       "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
       "name": "A String", # The name of this access configuration. In accessConfigs
           # (IPv4), the default and recommended name is External NAT, but
@@ -705,6 +735,21 @@ 
Method Details

           # assign an external IPv6 address from the instance's subnetwork.
       "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
           # external IPv6 range.
+      "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+          # like a PublicDelegatedPrefix (PDP) for BYOIP.
+          # The PDP must support enhanced IPv4 allocations.
+          #
+          # Use one of the following formats to specify a PDP when allocating an
+          # external IPv4 address using BYOIP.
+          #
+          #    -
+          #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+          #    -
+          #    Partial URL, as in
+          #
+          #
+          #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+          #           - regions/region/publicDelegatedPrefixes/pdp-name
       "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
       "name": "A String", # The name of this access configuration. In accessConfigs
           # (IPv4), the default and recommended name is External NAT, but
@@ -2231,6 +2276,21 @@ 
Method Details

                       # assign an external IPv6 address from the instance's subnetwork.
                   "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                       # external IPv6 range.
+                  "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                      # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                      # The PDP must support enhanced IPv4 allocations.
+                      #
+                      # Use one of the following formats to specify a PDP when allocating an
+                      # external IPv4 address using BYOIP.
+                      #
+                      #    -
+                      #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                      #    -
+                      #    Partial URL, as in
+                      #
+                      #
+                      #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                      #           - regions/region/publicDelegatedPrefixes/pdp-name
                   "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                   "name": "A String", # The name of this access configuration. In accessConfigs
                       # (IPv4), the default and recommended name is External NAT, but
@@ -2311,6 +2371,21 @@ 
Method Details

                       # assign an external IPv6 address from the instance's subnetwork.
                   "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                       # external IPv6 range.
+                  "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                      # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                      # The PDP must support enhanced IPv4 allocations.
+                      #
+                      # Use one of the following formats to specify a PDP when allocating an
+                      # external IPv4 address using BYOIP.
+                      #
+                      #    -
+                      #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                      #    -
+                      #    Partial URL, as in
+                      #
+                      #
+                      #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                      #           - regions/region/publicDelegatedPrefixes/pdp-name
                   "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                   "name": "A String", # The name of this access configuration. In accessConfigs
                       # (IPv4), the default and recommended name is External NAT, but
@@ -2513,6 +2588,9 @@ 
Method Details

                   # specified in the spread placement policy attached to the instance.
               "gracefulShutdownTimestamp": "A String", # Output only. Specifies the timestamp, when the instance will start graceful shutdown
                   # process, in RFC3339 text format.
+              "protectionTier": "A String", # Output only. Protection tier for the workload which specifies the workload
+                  # expectations in the event of infrastructure failures at data center
+                  # (e.g. power and/or cooling failures).
               "terminationTimestamp": "A String", # Time in future when the instance will be terminated inRFC3339 text format.
             },
             "shutdownDetails": { # Specifies if the instance is in `PENDING_STOP` state or there is a # Output only. [Output Only] Details about the instance stopping state.
@@ -2661,6 +2739,9 @@ 
Method Details

                   # to 315,576,000,000 inclusive. Note: these bounds are computed from:
                   # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
             },
+            "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+                # expectations in the event of infrastructure failures at data center
+                # (e.g. power and/or cooling failures).
             "provisioningModel": "A String", # Specifies the provisioning model of the instance.
             "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
                 # Off and ACPI G3 Mechanical
@@ -4734,6 +4815,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -4814,6 +4910,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -5056,6 +5167,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -7439,6 +7553,21 @@ 
Method Details

               # assign an external IPv6 address from the instance's subnetwork.
           "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
               # external IPv6 range.
+          "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+              # like a PublicDelegatedPrefix (PDP) for BYOIP.
+              # The PDP must support enhanced IPv4 allocations.
+              #
+              # Use one of the following formats to specify a PDP when allocating an
+              # external IPv4 address using BYOIP.
+              #
+              #    -
+              #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #    -
+              #    Partial URL, as in
+              #
+              #
+              #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #           - regions/region/publicDelegatedPrefixes/pdp-name
           "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
           "name": "A String", # The name of this access configuration. In accessConfigs
               # (IPv4), the default and recommended name is External NAT, but
@@ -7519,6 +7648,21 @@ 
Method Details

               # assign an external IPv6 address from the instance's subnetwork.
           "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
               # external IPv6 range.
+          "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+              # like a PublicDelegatedPrefix (PDP) for BYOIP.
+              # The PDP must support enhanced IPv4 allocations.
+              #
+              # Use one of the following formats to specify a PDP when allocating an
+              # external IPv4 address using BYOIP.
+              #
+              #    -
+              #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #    -
+              #    Partial URL, as in
+              #
+              #
+              #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #           - regions/region/publicDelegatedPrefixes/pdp-name
           "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
           "name": "A String", # The name of this access configuration. In accessConfigs
               # (IPv4), the default and recommended name is External NAT, but
@@ -7721,6 +7865,9 @@ 
Method Details

           # specified in the spread placement policy attached to the instance.
       "gracefulShutdownTimestamp": "A String", # Output only. Specifies the timestamp, when the instance will start graceful shutdown
           # process, in RFC3339 text format.
+      "protectionTier": "A String", # Output only. Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "terminationTimestamp": "A String", # Time in future when the instance will be terminated inRFC3339 text format.
     },
     "shutdownDetails": { # Specifies if the instance is in `PENDING_STOP` state or there is a # Output only. [Output Only] Details about the instance stopping state.
@@ -7869,6 +8016,9 @@ 
Method Details

           # to 315,576,000,000 inclusive. Note: these bounds are computed from:
           # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
     },
+    "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+        # expectations in the event of infrastructure failures at data center
+        # (e.g. power and/or cooling failures).
     "provisioningModel": "A String", # Specifies the provisioning model of the instance.
     "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
         # Off and ACPI G3 Mechanical
@@ -9806,6 +9956,21 @@ 
Method Details

               # assign an external IPv6 address from the instance's subnetwork.
           "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
               # external IPv6 range.
+          "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+              # like a PublicDelegatedPrefix (PDP) for BYOIP.
+              # The PDP must support enhanced IPv4 allocations.
+              #
+              # Use one of the following formats to specify a PDP when allocating an
+              # external IPv4 address using BYOIP.
+              #
+              #    -
+              #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #    -
+              #    Partial URL, as in
+              #
+              #
+              #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #           - regions/region/publicDelegatedPrefixes/pdp-name
           "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
           "name": "A String", # The name of this access configuration. In accessConfigs
               # (IPv4), the default and recommended name is External NAT, but
@@ -9886,6 +10051,21 @@ 
Method Details

               # assign an external IPv6 address from the instance's subnetwork.
           "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
               # external IPv6 range.
+          "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+              # like a PublicDelegatedPrefix (PDP) for BYOIP.
+              # The PDP must support enhanced IPv4 allocations.
+              #
+              # Use one of the following formats to specify a PDP when allocating an
+              # external IPv4 address using BYOIP.
+              #
+              #    -
+              #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #    -
+              #    Partial URL, as in
+              #
+              #
+              #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #           - regions/region/publicDelegatedPrefixes/pdp-name
           "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
           "name": "A String", # The name of this access configuration. In accessConfigs
               # (IPv4), the default and recommended name is External NAT, but
@@ -10088,6 +10268,9 @@ 
Method Details

           # specified in the spread placement policy attached to the instance.
       "gracefulShutdownTimestamp": "A String", # Output only. Specifies the timestamp, when the instance will start graceful shutdown
           # process, in RFC3339 text format.
+      "protectionTier": "A String", # Output only. Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "terminationTimestamp": "A String", # Time in future when the instance will be terminated inRFC3339 text format.
     },
     "shutdownDetails": { # Specifies if the instance is in `PENDING_STOP` state or there is a # Output only. [Output Only] Details about the instance stopping state.
@@ -10236,6 +10419,9 @@ 
Method Details

           # to 315,576,000,000 inclusive. Note: these bounds are computed from:
           # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
     },
+    "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+        # expectations in the event of infrastructure failures at data center
+        # (e.g. power and/or cooling failures).
     "provisioningModel": "A String", # Specifies the provisioning model of the instance.
     "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
         # Off and ACPI G3 Mechanical
@@ -11474,6 +11660,21 @@ 
Method Details

                   # assign an external IPv6 address from the instance's subnetwork.
               "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                   # external IPv6 range.
+              "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                  # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                  # The PDP must support enhanced IPv4 allocations.
+                  #
+                  # Use one of the following formats to specify a PDP when allocating an
+                  # external IPv4 address using BYOIP.
+                  #
+                  #    -
+                  #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                  #    -
+                  #    Partial URL, as in
+                  #
+                  #
+                  #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                  #           - regions/region/publicDelegatedPrefixes/pdp-name
               "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
               "name": "A String", # The name of this access configuration. In accessConfigs
                   # (IPv4), the default and recommended name is External NAT, but
@@ -11554,6 +11755,21 @@ 
Method Details

                   # assign an external IPv6 address from the instance's subnetwork.
               "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                   # external IPv6 range.
+              "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                  # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                  # The PDP must support enhanced IPv4 allocations.
+                  #
+                  # Use one of the following formats to specify a PDP when allocating an
+                  # external IPv4 address using BYOIP.
+                  #
+                  #    -
+                  #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                  #    -
+                  #    Partial URL, as in
+                  #
+                  #
+                  #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                  #           - regions/region/publicDelegatedPrefixes/pdp-name
               "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
               "name": "A String", # The name of this access configuration. In accessConfigs
                   # (IPv4), the default and recommended name is External NAT, but
@@ -11756,6 +11972,9 @@ 
Method Details

               # specified in the spread placement policy attached to the instance.
           "gracefulShutdownTimestamp": "A String", # Output only. Specifies the timestamp, when the instance will start graceful shutdown
               # process, in RFC3339 text format.
+          "protectionTier": "A String", # Output only. Protection tier for the workload which specifies the workload
+              # expectations in the event of infrastructure failures at data center
+              # (e.g. power and/or cooling failures).
           "terminationTimestamp": "A String", # Time in future when the instance will be terminated inRFC3339 text format.
         },
         "shutdownDetails": { # Specifies if the instance is in `PENDING_STOP` state or there is a # Output only. [Output Only] Details about the instance stopping state.
@@ -11904,6 +12123,9 @@ 
Method Details

               # to 315,576,000,000 inclusive. Note: these bounds are computed from:
               # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
         },
+        "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+            # expectations in the event of infrastructure failures at data center
+            # (e.g. power and/or cooling failures).
         "provisioningModel": "A String", # Specifies the provisioning model of the instance.
         "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
             # Off and ACPI G3 Mechanical
@@ -17376,6 +17598,9 @@ 
Method Details

         # to 315,576,000,000 inclusive. Note: these bounds are computed from:
         # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
   },
+  "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+      # expectations in the event of infrastructure failures at data center
+      # (e.g. power and/or cooling failures).
   "provisioningModel": "A String", # Specifies the provisioning model of the instance.
   "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
       # Off and ACPI G3 Mechanical
@@ -21672,6 +21897,21 @@ 
Method Details

               # assign an external IPv6 address from the instance's subnetwork.
           "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
               # external IPv6 range.
+          "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+              # like a PublicDelegatedPrefix (PDP) for BYOIP.
+              # The PDP must support enhanced IPv4 allocations.
+              #
+              # Use one of the following formats to specify a PDP when allocating an
+              # external IPv4 address using BYOIP.
+              #
+              #    -
+              #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #    -
+              #    Partial URL, as in
+              #
+              #
+              #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #           - regions/region/publicDelegatedPrefixes/pdp-name
           "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
           "name": "A String", # The name of this access configuration. In accessConfigs
               # (IPv4), the default and recommended name is External NAT, but
@@ -21752,6 +21992,21 @@ 
Method Details

               # assign an external IPv6 address from the instance's subnetwork.
           "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
               # external IPv6 range.
+          "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+              # like a PublicDelegatedPrefix (PDP) for BYOIP.
+              # The PDP must support enhanced IPv4 allocations.
+              #
+              # Use one of the following formats to specify a PDP when allocating an
+              # external IPv4 address using BYOIP.
+              #
+              #    -
+              #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #    -
+              #    Partial URL, as in
+              #
+              #
+              #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+              #           - regions/region/publicDelegatedPrefixes/pdp-name
           "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
           "name": "A String", # The name of this access configuration. In accessConfigs
               # (IPv4), the default and recommended name is External NAT, but
@@ -21954,6 +22209,9 @@ 
Method Details

           # specified in the spread placement policy attached to the instance.
       "gracefulShutdownTimestamp": "A String", # Output only. Specifies the timestamp, when the instance will start graceful shutdown
           # process, in RFC3339 text format.
+      "protectionTier": "A String", # Output only. Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "terminationTimestamp": "A String", # Time in future when the instance will be terminated inRFC3339 text format.
     },
     "shutdownDetails": { # Specifies if the instance is in `PENDING_STOP` state or there is a # Output only. [Output Only] Details about the instance stopping state.
@@ -22102,6 +22360,9 @@ 
Method Details

           # to 315,576,000,000 inclusive. Note: these bounds are computed from:
           # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
     },
+    "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+        # expectations in the event of infrastructure failures at data center
+        # (e.g. power and/or cooling failures).
     "provisioningModel": "A String", # Specifies the provisioning model of the instance.
     "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
         # Off and ACPI G3 Mechanical
@@ -22573,6 +22834,21 @@ 
Method Details

       # assign an external IPv6 address from the instance's subnetwork.
   "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
       # external IPv6 range.
+  "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+      # like a PublicDelegatedPrefix (PDP) for BYOIP.
+      # The PDP must support enhanced IPv4 allocations.
+      # 
+      # Use one of the following formats to specify a PDP when allocating an
+      # external IPv4 address using BYOIP.
+      # 
+      #    -
+      #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+      #    -
+      #    Partial URL, as in
+      # 
+      # 
+      #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+      #           - regions/region/publicDelegatedPrefixes/pdp-name
   "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
   "name": "A String", # The name of this access configuration. In accessConfigs
       # (IPv4), the default and recommended name is External NAT, but
@@ -23255,6 +23531,21 @@ 
Method Details

           # assign an external IPv6 address from the instance's subnetwork.
       "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
           # external IPv6 range.
+      "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+          # like a PublicDelegatedPrefix (PDP) for BYOIP.
+          # The PDP must support enhanced IPv4 allocations.
+          #
+          # Use one of the following formats to specify a PDP when allocating an
+          # external IPv4 address using BYOIP.
+          #
+          #    -
+          #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+          #    -
+          #    Partial URL, as in
+          #
+          #
+          #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+          #           - regions/region/publicDelegatedPrefixes/pdp-name
       "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
       "name": "A String", # The name of this access configuration. In accessConfigs
           # (IPv4), the default and recommended name is External NAT, but
@@ -23335,6 +23626,21 @@ 
Method Details

           # assign an external IPv6 address from the instance's subnetwork.
       "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
           # external IPv6 range.
+      "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+          # like a PublicDelegatedPrefix (PDP) for BYOIP.
+          # The PDP must support enhanced IPv4 allocations.
+          #
+          # Use one of the following formats to specify a PDP when allocating an
+          # external IPv4 address using BYOIP.
+          #
+          #    -
+          #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+          #    -
+          #    Partial URL, as in
+          #
+          #
+          #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+          #           - regions/region/publicDelegatedPrefixes/pdp-name
       "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
       "name": "A String", # The name of this access configuration. In accessConfigs
           # (IPv4), the default and recommended name is External NAT, but
diff --git a/docs/dyn/compute_preview.machineImages.html b/docs/dyn/compute_preview.machineImages.html
index c0dd3942c8..835a21f76b 100644
--- a/docs/dyn/compute_preview.machineImages.html
+++ b/docs/dyn/compute_preview.machineImages.html
@@ -1023,6 +1023,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -1103,6 +1118,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -1345,6 +1375,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -1789,6 +1822,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -1869,6 +1917,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -2078,6 +2141,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -3095,6 +3161,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -3175,6 +3256,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -3417,6 +3513,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -3861,6 +3960,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -3941,6 +4055,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -4150,6 +4279,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -5180,6 +5312,21 @@ 
Method Details

                     # assign an external IPv6 address from the instance's subnetwork.
                 "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                     # external IPv6 range.
+                "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                    # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                    # The PDP must support enhanced IPv4 allocations.
+                    #
+                    # Use one of the following formats to specify a PDP when allocating an
+                    # external IPv4 address using BYOIP.
+                    #
+                    #    -
+                    #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #    -
+                    #    Partial URL, as in
+                    #
+                    #
+                    #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #           - regions/region/publicDelegatedPrefixes/pdp-name
                 "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                 "name": "A String", # The name of this access configuration. In accessConfigs
                     # (IPv4), the default and recommended name is External NAT, but
@@ -5260,6 +5407,21 @@ 
Method Details

                     # assign an external IPv6 address from the instance's subnetwork.
                 "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                     # external IPv6 range.
+                "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                    # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                    # The PDP must support enhanced IPv4 allocations.
+                    #
+                    # Use one of the following formats to specify a PDP when allocating an
+                    # external IPv4 address using BYOIP.
+                    #
+                    #    -
+                    #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #    -
+                    #    Partial URL, as in
+                    #
+                    #
+                    #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #           - regions/region/publicDelegatedPrefixes/pdp-name
                 "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                 "name": "A String", # The name of this access configuration. In accessConfigs
                     # (IPv4), the default and recommended name is External NAT, but
@@ -5502,6 +5664,9 @@ 
Method Details

                 # to 315,576,000,000 inclusive. Note: these bounds are computed from:
                 # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
           },
+          "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+              # expectations in the event of infrastructure failures at data center
+              # (e.g. power and/or cooling failures).
           "provisioningModel": "A String", # Specifies the provisioning model of the instance.
           "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
               # Off and ACPI G3 Mechanical
@@ -5946,6 +6111,21 @@ 
Method Details

                     # assign an external IPv6 address from the instance's subnetwork.
                 "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                     # external IPv6 range.
+                "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                    # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                    # The PDP must support enhanced IPv4 allocations.
+                    #
+                    # Use one of the following formats to specify a PDP when allocating an
+                    # external IPv4 address using BYOIP.
+                    #
+                    #    -
+                    #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #    -
+                    #    Partial URL, as in
+                    #
+                    #
+                    #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #           - regions/region/publicDelegatedPrefixes/pdp-name
                 "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                 "name": "A String", # The name of this access configuration. In accessConfigs
                     # (IPv4), the default and recommended name is External NAT, but
@@ -6026,6 +6206,21 @@ 
Method Details

                     # assign an external IPv6 address from the instance's subnetwork.
                 "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                     # external IPv6 range.
+                "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                    # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                    # The PDP must support enhanced IPv4 allocations.
+                    #
+                    # Use one of the following formats to specify a PDP when allocating an
+                    # external IPv4 address using BYOIP.
+                    #
+                    #    -
+                    #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #    -
+                    #    Partial URL, as in
+                    #
+                    #
+                    #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #           - regions/region/publicDelegatedPrefixes/pdp-name
                 "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                 "name": "A String", # The name of this access configuration. In accessConfigs
                     # (IPv4), the default and recommended name is External NAT, but
@@ -6235,6 +6430,9 @@ 
Method Details

                 # to 315,576,000,000 inclusive. Note: these bounds are computed from:
                 # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
           },
+          "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+              # expectations in the event of infrastructure failures at data center
+              # (e.g. power and/or cooling failures).
           "provisioningModel": "A String", # Specifies the provisioning model of the instance.
           "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
               # Off and ACPI G3 Mechanical
diff --git a/docs/dyn/compute_preview.networkEndpointGroups.html b/docs/dyn/compute_preview.networkEndpointGroups.html
index bbc4f89a8b..443ec763b6 100644
--- a/docs/dyn/compute_preview.networkEndpointGroups.html
+++ b/docs/dyn/compute_preview.networkEndpointGroups.html
@@ -355,6 +355,8 @@ 
Method Details

               # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
               # global NEGs.
               # For all other network endpoint types, this field is required.
+          "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+              # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
           "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
           "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
               # type PRIVATE_SERVICE_CONNECT.
@@ -376,6 +378,10 @@ 
Method Details

           "region": "A String", # Output only. [Output Only] The URL of theregion
               # where the network endpoint group is located.
           "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+          "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+              # Can only be used with network_attachment. It is not possible to
+              # use on its own; however, network_attachment can be used without
+              # service_class_id.
           "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
           "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
               # belong.
@@ -1637,6 +1643,8 @@ 
Method Details

       # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
       # global NEGs.
       # For all other network endpoint types, this field is required.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+      # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
   "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
       # type PRIVATE_SERVICE_CONNECT.
@@ -1658,6 +1666,10 @@ 
Method Details

   "region": "A String", # Output only. [Output Only] The URL of theregion
       # where the network endpoint group is located.
   "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+      # Can only be used with network_attachment. It is not possible to
+      # use on its own; however, network_attachment can be used without
+      # service_class_id.
   "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
   "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
       # belong.
@@ -1825,6 +1837,8 @@ 
Method Details

       # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
       # global NEGs.
       # For all other network endpoint types, this field is required.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+      # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
   "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
       # type PRIVATE_SERVICE_CONNECT.
@@ -1846,6 +1860,10 @@ 
Method Details

   "region": "A String", # Output only. [Output Only] The URL of theregion
       # where the network endpoint group is located.
   "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+      # Can only be used with network_attachment. It is not possible to
+      # use on its own; however, network_attachment can be used without
+      # service_class_id.
   "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
   "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
       # belong.
@@ -2381,6 +2399,8 @@ 
Method Details

           # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
           # global NEGs.
           # For all other network endpoint types, this field is required.
+      "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+          # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
       "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
       "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
           # type PRIVATE_SERVICE_CONNECT.
@@ -2402,6 +2422,10 @@ 
Method Details

       "region": "A String", # Output only. [Output Only] The URL of theregion
           # where the network endpoint group is located.
       "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+      "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+          # Can only be used with network_attachment. It is not possible to
+          # use on its own; however, network_attachment can be used without
+          # service_class_id.
       "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
       "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
           # belong.
diff --git a/docs/dyn/compute_preview.regionInstanceTemplates.html b/docs/dyn/compute_preview.regionInstanceTemplates.html
index 5f2c3e5552..b6bf625370 100644
--- a/docs/dyn/compute_preview.regionInstanceTemplates.html
+++ b/docs/dyn/compute_preview.regionInstanceTemplates.html
@@ -1030,6 +1030,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -1110,6 +1125,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -1352,6 +1382,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -2067,6 +2100,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -2147,6 +2195,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -2389,6 +2452,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
@@ -3487,6 +3553,21 @@ 
Method Details

                     # assign an external IPv6 address from the instance's subnetwork.
                 "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                     # external IPv6 range.
+                "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                    # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                    # The PDP must support enhanced IPv4 allocations.
+                    #
+                    # Use one of the following formats to specify a PDP when allocating an
+                    # external IPv4 address using BYOIP.
+                    #
+                    #    -
+                    #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #    -
+                    #    Partial URL, as in
+                    #
+                    #
+                    #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #           - regions/region/publicDelegatedPrefixes/pdp-name
                 "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                 "name": "A String", # The name of this access configuration. In accessConfigs
                     # (IPv4), the default and recommended name is External NAT, but
@@ -3567,6 +3648,21 @@ 
Method Details

                     # assign an external IPv6 address from the instance's subnetwork.
                 "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                     # external IPv6 range.
+                "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                    # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                    # The PDP must support enhanced IPv4 allocations.
+                    #
+                    # Use one of the following formats to specify a PDP when allocating an
+                    # external IPv4 address using BYOIP.
+                    #
+                    #    -
+                    #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #    -
+                    #    Partial URL, as in
+                    #
+                    #
+                    #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                    #           - regions/region/publicDelegatedPrefixes/pdp-name
                 "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
                 "name": "A String", # The name of this access configuration. In accessConfigs
                     # (IPv4), the default and recommended name is External NAT, but
@@ -3809,6 +3905,9 @@ 
Method Details

                 # to 315,576,000,000 inclusive. Note: these bounds are computed from:
                 # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
           },
+          "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+              # expectations in the event of infrastructure failures at data center
+              # (e.g. power and/or cooling failures).
           "provisioningModel": "A String", # Specifies the provisioning model of the instance.
           "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
               # Off and ACPI G3 Mechanical
diff --git a/docs/dyn/compute_preview.regionInstances.html b/docs/dyn/compute_preview.regionInstances.html
index 5b282720e1..9bfb75e898 100644
--- a/docs/dyn/compute_preview.regionInstances.html
+++ b/docs/dyn/compute_preview.regionInstances.html
@@ -1169,6 +1169,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -1249,6 +1264,21 @@ 
Method Details

                 # assign an external IPv6 address from the instance's subnetwork.
             "externalIpv6PrefixLength": 42, # Applies to ipv6AccessConfigs only. The prefix length of the
                 # external IPv6 range.
+            "ipCollection": "A String", # Reference to the source of external IPv4 addresses,
+                # like a PublicDelegatedPrefix (PDP) for BYOIP.
+                # The PDP must support enhanced IPv4 allocations.
+                #
+                # Use one of the following formats to specify a PDP when allocating an
+                # external IPv4 address using BYOIP.
+                #
+                #    -
+                #    Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #    -
+                #    Partial URL, as in
+                #
+                #
+                #           - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name
+                #           - regions/region/publicDelegatedPrefixes/pdp-name
             "kind": "compute#accessConfig", # Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.
             "name": "A String", # The name of this access configuration. In accessConfigs
                 # (IPv4), the default and recommended name is External NAT, but
@@ -1491,6 +1521,9 @@ 
Method Details

             # to 315,576,000,000 inclusive. Note: these bounds are computed from:
             # 60 sec/min * 60 min/hr * 24 hr/day * 365.25 days/year * 10000 years
       },
+      "protectionTier": "A String", # Protection tier for the workload which specifies the workload
+          # expectations in the event of infrastructure failures at data center
+          # (e.g. power and/or cooling failures).
       "provisioningModel": "A String", # Specifies the provisioning model of the instance.
       "skipGuestOsShutdown": True or False, # Default is false and there will be 120 seconds between GCE ACPI G2 Soft
           # Off and ACPI G3 Mechanical
diff --git a/docs/dyn/compute_preview.regionNetworkEndpointGroups.html b/docs/dyn/compute_preview.regionNetworkEndpointGroups.html
index 0a71134257..dd43fac62c 100644
--- a/docs/dyn/compute_preview.regionNetworkEndpointGroups.html
+++ b/docs/dyn/compute_preview.regionNetworkEndpointGroups.html
@@ -1278,6 +1278,8 @@ 
Method Details

       # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
       # global NEGs.
       # For all other network endpoint types, this field is required.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+      # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
   "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
       # type PRIVATE_SERVICE_CONNECT.
@@ -1299,6 +1301,10 @@ 
Method Details

   "region": "A String", # Output only. [Output Only] The URL of theregion
       # where the network endpoint group is located.
   "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+      # Can only be used with network_attachment. It is not possible to
+      # use on its own; however, network_attachment can be used without
+      # service_class_id.
   "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
   "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
       # belong.
@@ -1466,6 +1472,8 @@ 
Method Details

       # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
       # global NEGs.
       # For all other network endpoint types, this field is required.
+  "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+      # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
   "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
   "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
       # type PRIVATE_SERVICE_CONNECT.
@@ -1487,6 +1495,10 @@ 
Method Details

   "region": "A String", # Output only. [Output Only] The URL of theregion
       # where the network endpoint group is located.
   "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+  "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+      # Can only be used with network_attachment. It is not possible to
+      # use on its own; however, network_attachment can be used without
+      # service_class_id.
   "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
   "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
       # belong.
@@ -2022,6 +2034,8 @@ 
Method Details

           # This field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for
           # global NEGs.
           # For all other network endpoint types, this field is required.
+      "networkAttachment": "A String", # Optional. The URL of the network attachment that this resource
+          # belongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.
       "networkEndpointType": "A String", # Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.
       "pscData": { # All data that is specifically relevant to only network endpoint groups of # Optional. Only valid when networkEndpointType isPRIVATE_SERVICE_CONNECT.
           # type PRIVATE_SERVICE_CONNECT.
@@ -2043,6 +2057,10 @@ 
Method Details

       "region": "A String", # Output only. [Output Only] The URL of theregion
           # where the network endpoint group is located.
       "selfLink": "A String", # Output only. [Output Only] Server-defined URL for the resource.
+      "serviceClassId": "A String", # Optional. The service class ID associated with this resource.
+          # Can only be used with network_attachment. It is not possible to
+          # use on its own; however, network_attachment can be used without
+          # service_class_id.
       "size": 42, # Output only. [Output only] Number of network endpoints in the network endpoint group.
       "subnetwork": "A String", # Optional URL of the subnetwork to which all network endpoints in the NEG
           # belong.
diff --git a/googleapiclient/discovery_cache/documents/compute.alpha.json b/googleapiclient/discovery_cache/documents/compute.alpha.json
index 4daad28fd4..726c307cba 100644
--- a/googleapiclient/discovery_cache/documents/compute.alpha.json
+++ b/googleapiclient/discovery_cache/documents/compute.alpha.json
@@ -26182,56 +26182,6 @@
 }
 }
 },
-"orgVmExtensionPolicies": {
-"methods": {
-"delete": {
-"description": "Deletes a specified zone VM extension policy within an organization.",
-"flatPath": "organizations/{organizationsId}/zones/{zone}/vmExtensionPolicies/{vmExtensionPolicy}",
-"httpMethod": "DELETE",
-"id": "compute.orgVmExtensionPolicies.delete",
-"parameterOrder": [
-"organization",
-"zone",
-"vmExtensionPolicy"
-],
-"parameters": {
-"organization": {
-"description": "Organization ID for this request.",
-"location": "path",
-"pattern": "organizations/[0-9]{0,20}",
-"required": true,
-"type": "string"
-},
-"requestId": {
-"description": "An optional request ID to identify requests. Specify a unique request ID so\nthat if you must retry your request, the server will know to ignore the\nrequest if it has already been completed.\n\nFor example, consider a situation where you make an initial request and\nthe request times out. If you make the request again with the same\nrequest ID, the server can check if original operation with the same\nrequest ID was received, and if so, will ignore the second request. This\nprevents clients from accidentally creating duplicate commitments.\n\nThe request ID must be\na valid UUID with the exception that zero UUID is not supported\n(00000000-0000-0000-0000-000000000000).",
-"location": "query",
-"type": "string"
-},
-"vmExtensionPolicy": {
-"description": "Name of the zone VM extension policy to delete.",
-"location": "path",
-"required": true,
-"type": "string"
-},
-"zone": {
-"description": "Name of the zone for this request.",
-"location": "path",
-"pattern": "[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?",
-"required": true,
-"type": "string"
-}
-},
-"path": "{+organization}/zones/{zone}/vmExtensionPolicies/{vmExtensionPolicy}",
-"response": {
-"$ref": "Operation"
-},
-"scopes": [
-"https://www.googleapis.com/auth/cloud-platform",
-"https://www.googleapis.com/auth/compute"
-]
-}
-}
-},
 "organizationGlobalVmExtensionPolicies": {
 "methods": {
 "aggregatedList": {
@@ -27723,6 +27673,52 @@
 },
 "organizationZoneVmExtensionPolicies": {
 "methods": {
+"delete": {
+"description": "Deletes a specified zone VM extension policy within an organization.",
+"flatPath": "organizations/{organizationsId}/zones/{zone}/vmExtensionPolicies/{vmExtensionPolicy}",
+"httpMethod": "DELETE",
+"id": "compute.organizationZoneVmExtensionPolicies.delete",
+"parameterOrder": [
+"organization",
+"zone",
+"vmExtensionPolicy"
+],
+"parameters": {
+"organization": {
+"description": "Organization ID for this request.",
+"location": "path",
+"pattern": "organizations/[0-9]{0,20}",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "An optional request ID to identify requests. Specify a unique request ID so\nthat if you must retry your request, the server will know to ignore the\nrequest if it has already been completed.\n\nFor example, consider a situation where you make an initial request and\nthe request times out. If you make the request again with the same\nrequest ID, the server can check if original operation with the same\nrequest ID was received, and if so, will ignore the second request. This\nprevents clients from accidentally creating duplicate commitments.\n\nThe request ID must be\na valid UUID with the exception that zero UUID is not supported\n(00000000-0000-0000-0000-000000000000).",
+"location": "query",
+"type": "string"
+},
+"vmExtensionPolicy": {
+"description": "Name of the zone VM extension policy to delete.",
+"location": "path",
+"required": true,
+"type": "string"
+},
+"zone": {
+"description": "Name of the zone for this request.",
+"location": "path",
+"pattern": "[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?",
+"required": true,
+"type": "string"
+}
+},
+"path": "{+organization}/zones/{zone}/vmExtensionPolicies/{vmExtensionPolicy}",
+"response": {
+"$ref": "Operation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/compute"
+]
+},
 "get": {
 "description": "Retrieves details of a specific zone VM extension policy within an\norganization.",
 "flatPath": "organizations/{organizationsId}/zones/{zone}/vmExtensionPolicies/{vmExtensionPolicy}",
@@ -58444,7 +58440,7 @@
 }
 }
 },
-"revision": "20260922",
+"revision": "20261007",
 "rootUrl": "https://compute.googleapis.com/",
 "schemas": {
 "AWSV4Signature": {
@@ -81104,11 +81100,13 @@ false
 "localSsdEncryptionMode": {
 "description": "Specifies which method should be used for encrypting the\nLocal SSDs attached to the VM.",
 "enum": [
+"CMEK_ENCRYPTION",
 "EPHEMERAL_KEY_ENCRYPTION",
 "LOCAL_SSD_ENCRYPTION_MODE_UNSPECIFIED",
 "STANDARD_ENCRYPTION"
 ],
 "enumDescriptions": [
+"The given VM will use customer-managed encryption keys for\nencryption of Local SSDs.",
 "The given VM will opt-in for using ephemeral key for\nencryption of Local SSDs.\nThe Local SSDs will not be able to recover data in case of VM\ncrash.",
 "The given VM will be encrypted using keys managed by the cloud\ninfrastructure and the keys will be deleted when the VM is\ndeleted.",
 "The given VM will be encrypted using keys managed by the cloud\ninfrastructure and the keys will be deleted when the VM is\ndeleted."
@@ -85687,11 +85685,13 @@ false
 "localSsdEncryptionMode": {
 "description": "Specifies which method should be used for encrypting the\nLocal SSDs attached to the VM.",
 "enum": [
+"CMEK_ENCRYPTION",
 "EPHEMERAL_KEY_ENCRYPTION",
 "LOCAL_SSD_ENCRYPTION_MODE_UNSPECIFIED",
 "STANDARD_ENCRYPTION"
 ],
 "enumDescriptions": [
+"The given VM will use customer-managed encryption keys for\nencryption of Local SSDs.",
 "The given VM will opt-in for using ephemeral key for\nencryption of Local SSDs.\nThe Local SSDs will not be able to recover data in case of VM\ncrash.",
 "The given VM will be encrypted using keys managed by the cloud\ninfrastructure and the keys will be deleted when the VM is\ndeleted.",
 "The given VM will be encrypted using keys managed by the cloud\ninfrastructure and the keys will be deleted when the VM is\ndeleted."
diff --git a/googleapiclient/discovery_cache/documents/compute.beta.json b/googleapiclient/discovery_cache/documents/compute.beta.json
index 4cee61b7cb..025946bc64 100644
--- a/googleapiclient/discovery_cache/documents/compute.beta.json
+++ b/googleapiclient/discovery_cache/documents/compute.beta.json
@@ -54393,7 +54393,7 @@
 }
 }
 },
-"revision": "20260922",
+"revision": "20261007",
 "rootUrl": "https://compute.googleapis.com/",
 "schemas": {
 "AWSV4Signature": {
@@ -61360,6 +61360,7 @@ false
 "STORAGE_OPTIMIZED_Z4D4T",
 "STORAGE_OPTIMIZED_Z4DH",
 "STORAGE_OPTIMIZED_Z4DS",
+"STORAGE_OPTIMIZED_Z4M",
 "TYPE_UNSPECIFIED"
 ],
 "enumDescriptions": [
@@ -61409,6 +61410,7 @@ false
 "CUD bucket for Z4D-4T machines.",
 "CUD bucket for Z4DH machines.",
 "CUD bucket for Z4DS machines.",
+"CUD bucket for Z4M (bare metal) machines.",
 "Note for internal users: When adding a new enum Type for v1, make sure\nto also add it in the comment for the `optional Type type` definition.\nThis ensures that the public documentation displays the new enum Type."
 ],
 "type": "string"
@@ -74418,11 +74420,13 @@ false
 "localSsdEncryptionMode": {
 "description": "Specifies which method should be used for encrypting the\nLocal SSDs attached to the VM.",
 "enum": [
+"CMEK_ENCRYPTION",
 "EPHEMERAL_KEY_ENCRYPTION",
 "LOCAL_SSD_ENCRYPTION_MODE_UNSPECIFIED",
 "STANDARD_ENCRYPTION"
 ],
 "enumDescriptions": [
+"The given VM will use customer-managed encryption keys for\nencryption of Local SSDs.",
 "The given VM will opt-in for using ephemeral key for\nencryption of Local SSDs.\nThe Local SSDs will not be able to recover data in case of VM\ncrash.",
 "The given VM will be encrypted using keys managed by the cloud\ninfrastructure and the keys will be deleted when the VM is\ndeleted.",
 "The given VM will be encrypted using keys managed by the cloud\ninfrastructure and the keys will be deleted when the VM is\ndeleted."
@@ -78752,11 +78756,13 @@ false
 "localSsdEncryptionMode": {
 "description": "Specifies which method should be used for encrypting the\nLocal SSDs attached to the VM.",
 "enum": [
+"CMEK_ENCRYPTION",
 "EPHEMERAL_KEY_ENCRYPTION",
 "LOCAL_SSD_ENCRYPTION_MODE_UNSPECIFIED",
 "STANDARD_ENCRYPTION"
 ],
 "enumDescriptions": [
+"The given VM will use customer-managed encryption keys for\nencryption of Local SSDs.",
 "The given VM will opt-in for using ephemeral key for\nencryption of Local SSDs.\nThe Local SSDs will not be able to recover data in case of VM\ncrash.",
 "The given VM will be encrypted using keys managed by the cloud\ninfrastructure and the keys will be deleted when the VM is\ndeleted.",
 "The given VM will be encrypted using keys managed by the cloud\ninfrastructure and the keys will be deleted when the VM is\ndeleted."
diff --git a/googleapiclient/discovery_cache/documents/compute.preview.json b/googleapiclient/discovery_cache/documents/compute.preview.json
index b91b8e9f48..5edab4b808 100644
--- a/googleapiclient/discovery_cache/documents/compute.preview.json
+++ b/googleapiclient/discovery_cache/documents/compute.preview.json
@@ -1357,6 +1357,204 @@
 }
 }
 },
+"aliasNetworkEndpoints": {
+"methods": {
+"delete": {
+"apiVersion": "2026-10-01-preview",
+"description": "Deletes the specified AliasNetworkEndpoint.",
+"flatPath": "projects/{project}/zones/{zone}/aliasNetworkEndpoints/{aliasNetworkEndpoint}",
+"httpMethod": "DELETE",
+"id": "compute.aliasNetworkEndpoints.delete",
+"parameterOrder": [
+"project",
+"zone",
+"aliasNetworkEndpoint"
+],
+"parameters": {
+"aliasNetworkEndpoint": {
+"description": "Required. Name of the AliasNetworkEndpoint resource to delete.",
+"location": "path",
+"pattern": "[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?|[1-9][0-9]{0,19}",
+"required": true,
+"type": "string"
+},
+"project": {
+"description": "Required. Project ID for this request.",
+"location": "path",
+"pattern": "(?:(?:[-a-z0-9]{1,63}\\.)*(?:[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?):)?(?:[0-9]{1,19}|(?:[a-z0-9](?:[-a-z0-9]{0,61}[a-z0-9])?))",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "An optional request ID to identify requests. Specify a unique request ID so\nthat if you must retry your request, the server will know to ignore the\nrequest if it has already been completed.",
+"location": "query",
+"type": "string"
+},
+"zone": {
+"description": "Required. Name of the zone scoping this request.",
+"location": "path",
+"pattern": "[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?",
+"required": true,
+"type": "string"
+}
+},
+"path": "projects/{project}/zones/{zone}/aliasNetworkEndpoints/{aliasNetworkEndpoint}",
+"response": {
+"$ref": "Operation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/compute"
+]
+},
+"get": {
+"apiVersion": "2026-10-01-preview",
+"description": "Returns the specified AliasNetworkEndpoint resource.",
+"flatPath": "projects/{project}/zones/{zone}/aliasNetworkEndpoints/{aliasNetworkEndpoint}",
+"httpMethod": "GET",
+"id": "compute.aliasNetworkEndpoints.get",
+"parameterOrder": [
+"project",
+"zone",
+"aliasNetworkEndpoint"
+],
+"parameters": {
+"aliasNetworkEndpoint": {
+"description": "Required. Name of the AliasNetworkEndpoint resource to return.",
+"location": "path",
+"pattern": "[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?|[1-9][0-9]{0,19}",
+"required": true,
+"type": "string"
+},
+"project": {
+"description": "Required. Project ID for this request.",
+"location": "path",
+"pattern": "(?:(?:[-a-z0-9]{1,63}\\.)*(?:[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?):)?(?:[0-9]{1,19}|(?:[a-z0-9](?:[-a-z0-9]{0,61}[a-z0-9])?))",
+"required": true,
+"type": "string"
+},
+"zone": {
+"description": "Required. Name of the zone scoping this request.",
+"location": "path",
+"pattern": "[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?",
+"required": true,
+"type": "string"
+}
+},
+"path": "projects/{project}/zones/{zone}/aliasNetworkEndpoints/{aliasNetworkEndpoint}",
+"response": {
+"$ref": "AliasNetworkEndpoint"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/compute",
+"https://www.googleapis.com/auth/compute.readonly"
+]
+},
+"insert": {
+"apiVersion": "2026-10-01-preview",
+"description": "Creates an AliasNetworkEndpoint in the specified project and zone\nusing the data included in the request.",
+"flatPath": "projects/{project}/zones/{zone}/aliasNetworkEndpoints",
+"httpMethod": "POST",
+"id": "compute.aliasNetworkEndpoints.insert",
+"parameterOrder": [
+"project",
+"zone"
+],
+"parameters": {
+"project": {
+"description": "Required. Project ID for this request.",
+"location": "path",
+"pattern": "(?:(?:[-a-z0-9]{1,63}\\.)*(?:[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?):)?(?:[0-9]{1,19}|(?:[a-z0-9](?:[-a-z0-9]{0,61}[a-z0-9])?))",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "An optional request ID to identify requests. Specify a unique request ID so\nthat if you must retry your request, the server will know to ignore the\nrequest if it has already been completed.",
+"location": "query",
+"type": "string"
+},
+"zone": {
+"description": "Required. Name of the zone scoping this request.",
+"location": "path",
+"pattern": "[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?",
+"required": true,
+"type": "string"
+}
+},
+"path": "projects/{project}/zones/{zone}/aliasNetworkEndpoints",
+"request": {
+"$ref": "AliasNetworkEndpoint"
+},
+"response": {
+"$ref": "Operation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/compute"
+]
+},
+"list": {
+"apiVersion": "2026-10-01-preview",
+"description": "Retrieves a list of AliasNetworkEndpoints available to the specified\nproject.",
+"flatPath": "projects/{project}/zones/{zone}/aliasNetworkEndpoints",
+"httpMethod": "GET",
+"id": "compute.aliasNetworkEndpoints.list",
+"parameterOrder": [
+"project",
+"zone"
+],
+"parameters": {
+"filter": {
+"description": "A filter expression that filters resources listed in the response. Most\nCompute resources support two types of filter expressions:\nexpressions that support regular expressions and expressions that follow\nAPI improvement proposal AIP-160.\nThese two types of filter expressions cannot be mixed in one request.\n\nIf you want to use AIP-160, your expression must specify the field name, an\noperator, and the value that you want to use for filtering. The value\nmust be a string, a number, or a boolean. The operator\nmust be either `=`, `!=`, `>`, `<`, `<=`, `>=` or `:`.\n\nFor example, if you are filtering Compute Engine instances, you can\nexclude instances named `example-instance` by specifying\n`name != example-instance`.\n\nThe `:*` comparison can be used to test whether a key has been defined.\nFor example, to find all objects with `owner` label use:\n```\nlabels.owner:*\n```\n\nYou can also filter nested fields. For example, you could specify\n`scheduling.automaticRestart = false` to include instances only\nif they are not scheduled for automatic restarts. You can use filtering\non nested fields to filter based onresource labels.\n\nTo filter on multiple expressions, provide each separate expression within\nparentheses. For example:\n```\n(scheduling.automaticRestart = true)\n(cpuPlatform = \"Intel Skylake\")\n```\nBy default, each expression is an `AND` expression. However, you\ncan include `AND` and `OR` expressions explicitly.\nFor example:\n```\n(cpuPlatform = \"Intel Skylake\") OR\n(cpuPlatform = \"Intel Broadwell\") AND\n(scheduling.automaticRestart = true)\n```\n\nIf you want to use a regular expression, use the `eq` (equal) or `ne`\n(not equal) operator against a single un-parenthesized expression with or\nwithout quotes or against multiple parenthesized expressions. Examples:\n\n`fieldname eq unquoted literal`\n`fieldname eq 'single quoted literal'`\n`fieldname eq \"double quoted literal\"`\n`(fieldname1 eq literal) (fieldname2 ne \"literal\")`\n\nThe literal value is interpreted as a regular expression using GoogleRE2 library syntax.\nThe literal value must match the entire field.\n\nFor example, to filter for instances that do not end with name \"instance\",\nyou would use `name ne .*instance`.\n\nYou cannot combine constraints on multiple fields using regular\nexpressions.",
+"location": "query",
+"type": "string"
+},
+"maxResults": {
+"default": "500",
+"description": "The maximum number of results per page that should be returned.\nIf the number of available results is larger than `maxResults`,\nCompute Engine returns a `nextPageToken` that can be used to get\nthe next page of results in subsequent list requests. Acceptable values are\n`0` to `500`, inclusive. (Default: `500`)",
+"format": "uint32",
+"location": "query",
+"minimum": "0",
+"type": "integer"
+},
+"orderBy": {
+"description": "Sorts list results by a certain order. By default, results\nare returned in alphanumerical order based on the resource name.\n\nYou can also sort results in descending order based on the creation\ntimestamp using `orderBy=\"creationTimestamp desc\"`. This sorts\nresults based on the `creationTimestamp` field in\nreverse chronological order (newest result first). Use this to sort\nresources like operations so that the newest operation is returned first.\n\nCurrently, only sorting by `name` or\n`creationTimestamp desc` is supported.",
+"location": "query",
+"type": "string"
+},
+"pageToken": {
+"description": "Specifies a page token to use. Set `pageToken` to the\n`nextPageToken` returned by a previous list request to get\nthe next page of results.",
+"location": "query",
+"type": "string"
+},
+"project": {
+"description": "Required. Project ID for this request.",
+"location": "path",
+"pattern": "(?:(?:[-a-z0-9]{1,63}\\.)*(?:[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?):)?(?:[0-9]{1,19}|(?:[a-z0-9](?:[-a-z0-9]{0,61}[a-z0-9])?))",
+"required": true,
+"type": "string"
+},
+"zone": {
+"description": "Required. Name of the zone of this request.",
+"location": "path",
+"pattern": "[a-z](?:[-a-z0-9]{0,61}[a-z0-9])?",
+"required": true,
+"type": "string"
+}
+},
+"path": "projects/{project}/zones/{zone}/aliasNetworkEndpoints",
+"response": {
+"$ref": "AliasNetworkEndpointList"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/compute",
+"https://www.googleapis.com/auth/compute.readonly"
+]
+}
+}
+},
 "autoscalers": {
 "methods": {
 "aggregatedList": {
@@ -50023,7 +50221,7 @@
 }
 }
 },
-"revision": "20260922",
+"revision": "20261007",
 "rootUrl": "https://compute.googleapis.com/",
 "schemas": {
 "AWSV4Signature": {
@@ -50923,6 +51121,10 @@ false
 "format": "int32",
 "type": "integer"
 },
+"ipCollection": {
+"description": "Reference to the source of external IPv4 addresses,\nlike a PublicDelegatedPrefix (PDP) for BYOIP.\nThe PDP must support enhanced IPv4 allocations.\n\nUse one of the following formats to specify a PDP when allocating an\nexternal IPv4 address using BYOIP.\n   \n   - \n   Full resource URL, as inhttps://www.googleapis.com/compute/v1/projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name\n   - \n   Partial URL, as in\n     \n      \n          - projects/projectId/regions/region/publicDelegatedPrefixes/pdp-name\n          - regions/region/publicDelegatedPrefixes/pdp-name",
+"type": "string"
+},
 "kind": {
 "default": "compute#accessConfig",
 "description": "Output only. [Output Only] Type of the resource. Alwayscompute#accessConfig for access configs.",
@@ -51079,6 +51281,10 @@ false
 "description": "The URL of the network in which to reserve the address. This field can\nonly be used with INTERNAL type with theVPC_PEERING purpose.",
 "type": "string"
 },
+"networkAttachment": {
+"description": "Optional. The URL of the network attachment that this address comes from in the\nfollowing format:\nprojects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.",
+"type": "string"
+},
 "networkTier": {
 "description": "This signifies the networking tier used for configuring this address and\ncan only take the following values: PREMIUM orSTANDARD. Internal IP addresses are always Premium Tier;\nglobal external IP addresses are always Premium Tier; regional external IP\naddresses can be either Standard or Premium Tier.\n\nIf this field is not specified, it is assumed to be PREMIUM.",
 "enum": [
@@ -51133,6 +51339,10 @@ false
 "description": "[Output Only] Server-defined URL for the resource.",
 "type": "string"
 },
+"serviceClassId": {
+"description": "Optional. Producer Service's Service class ID for the region of this address. Can\nonly be used with network_attachment. It is not possible to use on its own;\nhowever, network_attachment can be used without service_class_id.",
+"type": "string"
+},
 "status": {
 "description": "Output only. [Output Only] The status of the address, which can be one ofRESERVING, RESERVED, or IN_USE.\nAn address that is RESERVING is currently in the process of\nbeing reserved. A RESERVED address is currently reserved and\navailable to use. An IN_USE address is currently being used\nby another resource and is not available.",
 "enum": [
@@ -51681,6 +51891,334 @@ false
 },
 "type": "object"
 },
+"AliasNetworkEndpoint": {
+"description": "Represents an Alias Network Endpoint resource.\nTo be used for GKE pod-native endpoints in Andromeda.",
+"id": "AliasNetworkEndpoint",
+"properties": {
+"aliases": {
+"additionalProperties": {
+"$ref": "AliasNetworkEndpointAlias"
+},
+"description": "Required. The map of network aliases allocated for the AliasNetworkEndpoint.\nThis map is keyed with user-provided alias names.",
+"type": "object"
+},
+"annotations": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Optional. The annotations map for the AliasNetworkEndpoint.\nKeys and values must follow Kubernetes limits.\nKeys must be a maximum of 253 characters. Keys should be dot-namespaced,\nfollowing the Kubernetes annotation key format:\n`([DNS subdomain]/)?[RFC 1123 name]`.\nValues must be a maximum of 256 characters.",
+"type": "object"
+},
+"creationTimestamp": {
+"description": "Output only. [Output Only] Creation timestamp in RFC3339 text format.",
+"readOnly": true,
+"type": "string"
+},
+"description": {
+"description": "Optional. An optional description of this resource. Provide this field when you\ncreate the resource.",
+"type": "string"
+},
+"host": {
+"$ref": "AliasNetworkEndpointHost",
+"description": "Required. The host that the alias network endpoint is bound to."
+},
+"id": {
+"description": "Output only. [Output Only] The unique identifier for the resource. This identifier is\ndefined by the server.",
+"format": "uint64",
+"readOnly": true,
+"type": "string"
+},
+"labels": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Optional. The labels map for the AliasNetworkEndpoint.",
+"type": "object"
+},
+"name": {
+"description": "Identifier. Name of the resource. Provided by the client when the resource is created.\nThe name must be 1-63 characters long, and comply with RFC1035.",
+"type": "string"
+},
+"securityTagInheritance": {
+"description": "Optional. The security tag inheritance setting for the AliasNetworkEndpoint.",
+"enum": [
+"INHERITED",
+"NOT_INHERITED",
+"SECURITY_TAG_INHERITANCE_UNSPECIFIED"
+],
+"enumDescriptions": [
+"Security tags are inherited directly from the host instance.",
+"Security tags are not inherited from the host instance. Firewall rules\ntargeting the host instance's tags will not apply to this resource.",
+"Unspecified inheritance."
+],
+"type": "string"
+},
+"selfLink": {
+"description": "Output only. [Output Only] Server-defined URL for the resource.",
+"readOnly": true,
+"type": "string"
+},
+"status": {
+"$ref": "AliasNetworkEndpointStatus",
+"description": "Output only. [Output Only] Current status of the alias network endpoint.",
+"readOnly": true
+},
+"subnetwork": {
+"description": "Required. The URL of the subnetwork that this alias network endpoint belongs to.",
+"type": "string"
+},
+"updateTime": {
+"description": "Output only. [Output Only] Update timestamp in RFC3339 text format.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"AliasNetworkEndpointAlias": {
+"description": "Configuration for an IP alias.",
+"id": "AliasNetworkEndpointAlias",
+"properties": {
+"effectiveIpAddress": {
+"description": "Output only. [Output Only] The actual IP address allocated by the system.",
+"readOnly": true,
+"type": "string"
+},
+"effectiveSubnetworkRangeName": {
+"description": "Output only. [Output Only] The actual secondary range used for allocation.",
+"readOnly": true,
+"type": "string"
+},
+"ipAddress": {
+"description": "Input only. The IP address of the network endpoint. If specified, the server performs\na validation check for uniqueness. If the field is omitted, the system\nautomatically allocates an IP and populates the effective_ip_address\nfield.",
+"type": "string"
+},
+"ipVersion": {
+"description": "Required. The IP version of the IP. It is IPv4 or IPv6.",
+"enum": [
+"IPV4",
+"IPV6",
+"IP_VERSION_UNSPECIFIED"
+],
+"enumDescriptions": [
+"IPv4 address.",
+"IPv6 address.",
+"Unspecified IP version."
+],
+"type": "string"
+},
+"subnetworkRangeNames": {
+"description": "Input only. Defines candidate secondary ranges for allocating the alias IPs. If it is\nempty, the IP would be allocated from the primary range of the\nsubnetwork.\nThis field is INPUT_ONLY and used only during resource creation,\nhence a repeated field is acceptable as per AIP-2825. It is not mutable.",
+"items": {
+"type": "string"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
+"AliasNetworkEndpointHost": {
+"description": "Information about the host instance.",
+"id": "AliasNetworkEndpointHost",
+"properties": {
+"instance": {
+"description": "Required. The URL to the instance that this alias network endpoint is bound to.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"AliasNetworkEndpointList": {
+"description": "Response message for AliasNetworkEndpoints.List.",
+"id": "AliasNetworkEndpointList",
+"properties": {
+"etag": {
+"description": "ETag of the resource list.",
+"type": "string"
+},
+"id": {
+"description": "[Output Only] Unique identifier for the resource; defined by the server.",
+"type": "string"
+},
+"items": {
+"description": "A list of AliasNetworkEndpoint resources.",
+"items": {
+"$ref": "AliasNetworkEndpoint"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "[Output Only] This token allows you to get the next page of results for\nlist requests. If the number of results is larger thanmaxResults, use the nextPageToken as a value for\nthe query parameter pageToken in the next list request.\nSubsequent list requests will have their own nextPageToken to\ncontinue paging through the results.",
+"type": "string"
+},
+"selfLink": {
+"description": "[Output Only] Server-defined URL for this resource.",
+"type": "string"
+},
+"unreachables": {
+"description": "Output only. [Output Only] Unreachable resources.",
+"items": {
+"type": "string"
+},
+"readOnly": true,
+"type": "array"
+},
+"warning": {
+"description": "[Output Only] Informational warning message.",
+"properties": {
+"code": {
+"description": "[Output Only] A warning code, if applicable. For example, Compute\nEngine returns NO_RESULTS_ON_PAGE if there\nare no results in the response.",
+"enum": [
+"CLEANUP_FAILED",
+"DEPRECATED_RESOURCE_USED",
+"DEPRECATED_TYPE_USED",
+"DISK_SIZE_LARGER_THAN_IMAGE_SIZE",
+"EXPERIMENTAL_TYPE_USED",
+"EXTERNAL_API_WARNING",
+"FIELD_VALUE_OVERRIDEN",
+"INJECTED_KERNELS_DEPRECATED",
+"INVALID_HEALTH_CHECK_FOR_DYNAMIC_WIEGHTED_LB",
+"LARGE_DEPLOYMENT_WARNING",
+"LIST_OVERHEAD_QUOTA_EXCEED",
+"MISSING_TYPE_DEPENDENCY",
+"NEXT_HOP_ADDRESS_NOT_ASSIGNED",
+"NEXT_HOP_CANNOT_IP_FORWARD",
+"NEXT_HOP_INSTANCE_HAS_NO_IPV6_INTERFACE",
+"NEXT_HOP_INSTANCE_NOT_FOUND",
+"NEXT_HOP_INSTANCE_NOT_ON_NETWORK",
+"NEXT_HOP_NOT_RUNNING",
+"NOT_CRITICAL_ERROR",
+"NO_RESULTS_ON_PAGE",
+"PARTIAL_SUCCESS",
+"QUOTA_INFO_UNAVAILABLE",
+"REQUIRED_TOS_AGREEMENT",
+"RESOURCE_IN_USE_BY_OTHER_RESOURCE_WARNING",
+"RESOURCE_NOT_DELETED",
+"SCHEMA_VALIDATION_IGNORED",
+"SINGLE_INSTANCE_PROPERTY_TEMPLATE",
+"UNDECLARED_PROPERTIES",
+"UNREACHABLE"
+],
+"enumDeprecated": [
+false,
+false,
+false,
+false,
+false,
+false,
+true,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false,
+false
+],
+"enumDescriptions": [
+"Warning about failed cleanup of transient changes made by a failed\noperation.",
+"A link to a deprecated resource was created.",
+"When deploying and at least one of the resources has a type marked as\ndeprecated",
+"The user created a boot disk that is larger than image size.",
+"When deploying and at least one of the resources has a type marked as\nexperimental",
+"Warning that is present in an external api call",
+"Warning that value of a field has been overridden.\nDeprecated unused field.",
+"The operation involved use of an injected kernel, which is deprecated.",
+"A WEIGHTED_MAGLEV backend service is associated with a health check that is\nnot of type HTTP/HTTPS/HTTP2.",
+"When deploying a deployment with a exceedingly large number of resources",
+"Resource can't be retrieved due to list overhead quota exceed\nwhich captures the amount of resources filtered out by\nuser-defined list filter.",
+"A resource depends on a missing type",
+"The route's nextHopIp address is not assigned to an instance on the\nnetwork.",
+"The route's next hop instance cannot ip forward.",
+"The route's nextHopInstance URL refers to an instance that does not have an\nipv6 interface on the same network as the route.",
+"The route's nextHopInstance URL refers to an instance that does not exist.",
+"The route's nextHopInstance URL refers to an instance that is not on the\nsame network as the route.",
+"The route's next hop instance does not have a status of RUNNING.",
+"Error which is not critical. We decided to continue the process despite\nthe mentioned error.",
+"No results are present on a particular list page.",
+"Success is reported, but some results may be missing due to errors",
+"Quota information is not available to client requests (e.g:\nregions.list).",
+"The user attempted to use a resource that requires a TOS they have not\naccepted.",
+"Warning that a resource is in use.",
+"One or more of the resources set to auto-delete could not be deleted\nbecause they were in use.",
+"When a resource schema validation is ignored.",
+"Instance template used in instance group manager is valid as such, but\nits application does not make a lot of sense, because it allows only\nsingle instance in instance group.",
+"When undeclared properties in the schema are present",
+"A given scope cannot be reached."
+],
+"type": "string"
+},
+"data": {
+"description": "[Output Only] Metadata about this warning in key:\nvalue format. For example:\n\n\"data\": [\n  {\n   \"key\": \"scope\",\n   \"value\": \"zones/us-east1-d\"\n  }]",
+"items": {
+"properties": {
+"key": {
+"description": "[Output Only] A key that provides more detail on the warning being\nreturned. For example, for warnings where there are no results in a list\nrequest for a particular zone, this key might be scope and\nthe key value might be the zone name. Other examples might be a key\nindicating a deprecated resource and a suggested replacement, or a\nwarning about invalid network settings (for example, if an instance\nattempts to perform IP forwarding but is not enabled for IP forwarding).",
+"type": "string"
+},
+"value": {
+"description": "[Output Only] A warning data value corresponding to the key.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"type": "array"
+},
+"message": {
+"description": "[Output Only] A human-readable description of the warning code.",
+"type": "string"
+}
+},
+"type": "object"
+}
+},
+"type": "object"
+},
+"AliasNetworkEndpointStatus": {
+"description": "Represents the current status of the AliasNetworkEndpoint.",
+"id": "AliasNetworkEndpointStatus",
+"properties": {
+"network": {
+"description": "Output only. [Output Only] The URL of the network that this alias network endpoint\nbelongs to.",
+"readOnly": true,
+"type": "string"
+},
+"state": {
+"description": "Output only. [Output Only] The state of the alias network endpoint.",
+"enum": [
+"ACTIVE",
+"CREATING",
+"DELETING",
+"STATE_UNSPECIFIED"
+],
+"enumDescriptions": [
+"The endpoint is active and ready to process traffic.",
+"The endpoint is being created.",
+"The endpoint is being deleted.",
+"Unspecified state."
+],
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "AllocationAggregateReservation": {
 "description": "This reservation type is specified by total resource amounts (e.g. total\ncount of CPUs) and can account for multiple instance SKUs. In other words,\none can create instances of varying shapes against this reservation.",
 "id": "AllocationAggregateReservation",
@@ -57074,6 +57612,12 @@ false
 "MEMORY_OPTIMIZED_X4_480_8T",
 "MEMORY_OPTIMIZED_X4_960_12T",
 "MEMORY_OPTIMIZED_X4_960_16T",
+"MEMORY_OPTIMIZED_X5_1376_24T",
+"MEMORY_OPTIMIZED_X5_1376_32T",
+"MEMORY_OPTIMIZED_X5_2064_48T",
+"MEMORY_OPTIMIZED_X5_2752_64T",
+"MEMORY_OPTIMIZED_X5_688_12T",
+"MEMORY_OPTIMIZED_X5_688_16T",
 "NETWORK_OPTIMIZED_C4N",
 "NETWORK_OPTIMIZED_U4C",
 "NETWORK_OPTIMIZED_U4P",
@@ -57125,6 +57669,12 @@ false
 "CUD bucket for X4 machine with 480 vCPUs and 8TB of memory.",
 "CUD bucket for X4 machine with 960 vCPUs and 12TB of memory.",
 "CUD bucket for X4 machine with 960 vCPUs and 16TB of memory.",
+"CUD bucket for X5 machine with 1376 vCPUs and 24TB of memory.",
+"CUD bucket for X5 machine with 1376 vCPUs and 32TB of memory.",
+"CUD bucket for X5 machine with 2064 vCPUs and 48TB of memory.",
+"CUD bucket for X5 machine with 2752 vCPUs and 64TB of memory.",
+"CUD bucket for X5 machine with 688 vCPUs and 12TB of memory.",
+"CUD bucket for X5 machine with 688 vCPUs and 16TB of memory.",
 "CUD bucket for C4N (dual Diorite) machines.",
 "CUD bucket for NETWORK_OPTIMIZED_U4C machines.",
 "CUD bucket for NETWORK_OPTIMIZED_U4P machines.",
@@ -65207,6 +65757,10 @@ false
 "$ref": "HaControllerNetworkingAutoConfiguration",
 "description": "Basic networking configuration. Required backend services and forwarding\nrules will be automatically created with default parameters."
 },
+"params": {
+"$ref": "HaControllerParams",
+"description": "Input only. Additional parameters passed with the request, but not persisted as part\nof the resource. Both `params: null` and `params: {}` are treated\nidentically as a no-op."
+},
 "region": {
 "description": "Output only. [Output Only] URL of the region where the resource resides.\nYou must specify this field as part of the HTTP request URL.\nIt is not settable as a field in the request body.",
 "readOnly": true,
@@ -65270,6 +65824,21 @@ false
 },
 "type": "object"
 },
+"HaControllerInstanceNetworkInterface": {
+"description": "The network interface configuration of the VM instance.",
+"id": "HaControllerInstanceNetworkInterface",
+"properties": {
+"ipv6Address": {
+"description": "Optional. Optional IPv6 address to assign to the instance's network interface.\nIf omitted, an ephemeral IP may be assigned depending on the instance's\nnetwork interface stack type.",
+"type": "string"
+},
+"networkIP": {
+"description": "Optional. Optional IPv4 address to assign to the instance's network interface.\nIf omitted, an ephemeral IP may be assigned depending on the instance's\nnetwork interface stack type.",
+"type": "string"
+}
+},
+"type": "object"
+},
 "HaControllerNetworkingAutoConfiguration": {
 "description": "Basic networking configuration. Required backend services and forwarding\nrules will be automatically created with default parameters.",
 "id": "HaControllerNetworkingAutoConfiguration",
@@ -65309,6 +65878,17 @@ false
 },
 "type": "object"
 },
+"HaControllerParams": {
+"description": "Additional HA Controller params.",
+"id": "HaControllerParams",
+"properties": {
+"migrateDisksToRegional": {
+"description": "Specifies whether to automatically migrate all disks of an instance from\nzonal to regional before attempting to create the HaController.",
+"type": "boolean"
+}
+},
+"type": "object"
+},
 "HaControllerStatus": {
 "description": "Contains information about current status of the HaController.",
 "id": "HaControllerStatus",
@@ -65560,6 +66140,13 @@ false
 "description": "Config for a zone that the HaController may use for running the VM\ninstance.",
 "id": "HaControllerZoneConfiguration",
 "properties": {
+"instanceNetworkInterfaces": {
+"additionalProperties": {
+"$ref": "HaControllerInstanceNetworkInterface"
+},
+"description": "Optional. The network interface configuration of a VM instance in this zone,\nkeyed by the name of the network interface. A VM network interface\nuses the nicN naming format, where N is a\nvalue between 0 and 7. The default interface\nis nic0. Use this field to choose the internal IP\naddresses of the VM instance in this zone instead of letting Compute\nEngine assign them automatically.\n   \n   \n      - Each key must be a name of a network interface that exists on\n      the VM instance. Otherwise, the request fails.\n      - Network interfaces that are omitted are assigned an ephemeral\n      internal IP address.\n      - Every zone must configure the same network interfaces and the\n      same IP address families.\n      - For the zone that currently holds the VM instance, this field\n      is populated automatically, and any addresses you specify must\n      match the instance's current addresses.\n      - Only internal IP addresses are supported, and this field can\n      only be set when the HA Controller is created.",
+"type": "object"
+},
 "nodeAffinities": {
 "description": "A set of node affinity configurations. Refer toConfiguring node\naffinity for more information.\nOverrides reservationAffinity.",
 "items": {
@@ -83794,6 +84381,10 @@ false
 "description": "The URL of the network to which all network endpoints in the NEG belong.\nFor networkEndpointType GCE_VM_IP_PORT,GCE_VM_IP_PORTMAP or NON_GCP_PRIVATE_IP_PORT,\nif this field is not specified, a default network will be used.\nThis field cannot be set for NEGs with networkEndpointType set toSERVERLESS or PRIVATE_SERVICE_CONNECT and for\nglobal NEGs.\nFor all other network endpoint types, this field is required.",
 "type": "string"
 },
+"networkAttachment": {
+"description": "Optional. The URL of the network attachment that this resource\nbelongs to.projects/{project}/regions/{region_name}/networkAttachments/{network_attachment_name}.",
+"type": "string"
+},
 "networkEndpointType": {
 "description": "Type of network endpoints in this network endpoint group. Can be one ofGCE_VM_IP, GCE_VM_IP_PORT,NON_GCP_PRIVATE_IP_PORT, INTERNET_FQDN_PORT,INTERNET_IP_PORT, SERVERLESS,PRIVATE_SERVICE_CONNECT, GCE_VM_IP_PORTMAP.",
 "enum": [
@@ -83838,6 +84429,10 @@ false
 "readOnly": true,
 "type": "string"
 },
+"serviceClassId": {
+"description": "Optional. The service class ID associated with this resource.\nCan only be used with network_attachment. It is not possible to\nuse on its own; however, network_attachment can be used without\nservice_class_id.",
+"type": "string"
+},
 "size": {
 "description": "Output only. [Output only] Number of network endpoints in the network endpoint group.",
 "format": "int32",
@@ -98024,6 +98619,21 @@ false
 "readOnly": true,
 "type": "string"
 },
+"protectionTier": {
+"description": "Output only. Protection tier for the workload which specifies the workload\nexpectations in the event of infrastructure failures at data center\n(e.g. power and/or cooling failures).",
+"enum": [
+"PROTECTION_TIER_CAPACITY_OPTIMIZED",
+"PROTECTION_TIER_STANDARD",
+"PROTECTION_TIER_UNSPECIFIED"
+],
+"enumDescriptions": [
+"CAPACITY_OPTIMIZED capacity leverages redundancies (e.g. power,\ncooling) at the data center during normal operating conditions. In the\nevent of infrastructure failures at data center (e.g. power and/or\ncooling failures), this workload may be disrupted. As a consequence, it\nhas a weaker availability SLO than STANDARD.",
+"STANDARD protection for workload that should be protected by\nredundancies (e.g. power, cooling) at the data center level. In the\nevent of infrastructure failures at data center (e.g. power and/or\ncooling failures), this workload is expected to continue as normal\nusing the redundancies.",
+"Unspecified protection tier."
+],
+"readOnly": true,
+"type": "string"
+},
 "terminationTimestamp": {
 "description": "Time in future when the instance will be terminated inRFC3339 text format.",
 "type": "string"
@@ -101988,6 +102598,20 @@ false
 "$ref": "Duration",
 "description": "Specifies the Metadata Service preemption notice duration before the GCE ACPI G2\nSoft Off signal is triggered for Spot VMs only. If not specified,\nthere will be no wait before the G2 Soft Off signal is triggered."
 },
+"protectionTier": {
+"description": "Protection tier for the workload which specifies the workload\nexpectations in the event of infrastructure failures at data center\n(e.g. power and/or cooling failures).",
+"enum": [
+"PROTECTION_TIER_CAPACITY_OPTIMIZED",
+"PROTECTION_TIER_STANDARD",
+"PROTECTION_TIER_UNSPECIFIED"
+],
+"enumDescriptions": [
+"CAPACITY_OPTIMIZED capacity leverages redundancies (e.g. power,\ncooling) at the data center during normal operating conditions. In the\nevent of infrastructure failures at data center (e.g. power and/or\ncooling failures), this workload may be disrupted. As a consequence, it\nhas a weaker availability SLO than STANDARD.",
+"STANDARD protection for workload that should be protected by\nredundancies (e.g. power, cooling) at the data center level. In the\nevent of infrastructure failures at data center (e.g. power and/or\ncooling failures), this workload is expected to continue as normal\nusing the redundancies.",
+"Unspecified protection tier."
+],
+"type": "string"
+},
 "provisioningModel": {
 "description": "Specifies the provisioning model of the instance.",
 "enum": [
@@ -113183,6 +113807,7 @@ false
 "description": "The reasons for the maintenance. Only valid for vms.",
 "items": {
 "enum": [
+"FAILURE_CUSTOMER_REPORTED",
 "FAILURE_DISK",
 "FAILURE_GPU",
 "FAILURE_GPU_MULTIPLE_FAULTY_HOSTS_CUSTOMER_REPORTED",
@@ -113202,6 +113827,7 @@ false
 "PLANNED_UPDATE"
 ],
 "enumDescriptions": [
+"Maintenance due to a fault reported by the customer via the R&R\n(Report-and-Replace) API.",
 "Maintenance due to disk errors.",
 "Maintenance due to GPU errors.",
 "Maintenance due to customer reported multiple faulty hosts via R&R\nSubblock API.",
@@ -117000,13 +117626,11 @@ false
 "description": "The flow management configuration for the wire.",
 "enum": [
 "DYNAMIC_PATH",
-"FIXED_PATH",
-"FLOW_MANAGEMENT_UNSPECIFIED"
+"FIXED_PATH"
 ],
 "enumDescriptions": [
 "The wire uses dynamic paths.",
-"The wire uses fixed paths.",
-""
+"The wire uses fixed paths."
 ],
 "type": "string"
 }

From d3fa0d75532a43173a35f60922790fd2c228a96a Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:44 +0000
Subject: [PATCH 10/32] feat(dataplex): update the api

#### dataplex:v1

The following keys were deleted:
- schemas.GoogleCloudDataplexV1DataDiscoverySpecStorageConfig.properties.unstructuredDataOptions.$ref (Total Keys: 1)
- schemas.GoogleCloudDataplexV1DataDiscoverySpecStorageConfigUnstructuredDataOptions (Total Keys: 4)
- schemas.GoogleCloudDataplexV1DataScan.properties.unstructuredDataProfileResult (Total Keys: 2)
- schemas.GoogleCloudDataplexV1DataScan.properties.unstructuredDataProfileSpec.$ref (Total Keys: 1)
- schemas.GoogleCloudDataplexV1DataScanJob.properties.unstructuredDataProfileResult (Total Keys: 2)
- schemas.GoogleCloudDataplexV1DataScanJob.properties.unstructuredDataProfileSpec (Total Keys: 2)
- schemas.GoogleCloudDataplexV1GraphProfile (Total Keys: 80)
- schemas.GoogleCloudDataplexV1UnstructuredDataProfileResult (Total Keys: 6)
- schemas.GoogleCloudDataplexV1UnstructuredDataProfileSpec (Total Keys: 5)
---
 ...aplex_v1.projects.locations.dataScans.html | 415 ------------------
 ..._v1.projects.locations.dataScans.jobs.html | 166 -------
 .../documents/dataplex.v1.json                | 371 +---------------
 3 files changed, 5 insertions(+), 947 deletions(-)

diff --git a/docs/dyn/dataplex_v1.projects.locations.dataScans.html b/docs/dyn/dataplex_v1.projects.locations.dataScans.html
index 3ccef8877b..b99154873e 100644
--- a/docs/dyn/dataplex_v1.projects.locations.dataScans.html
+++ b/docs/dyn/dataplex_v1.projects.locations.dataScans.html
@@ -178,10 +178,6 @@ 
Method Details

         "encoding": "A String", # Optional. The character encoding of the data. The default is UTF-8.
         "typeInferenceDisabled": True or False, # Optional. Whether to disable the inference of data types for JSON data. If true, all columns are registered as their primitive types (strings, number, or boolean).
       },
-      "unstructuredDataOptions": { # Describes options for unstructured data discovery. # Optional. Specifies configuration for unstructured data discovery.
-        "globalEndpointEnabled": True or False, # Optional. Whether to use the global model endpoint.
-        "semanticInferenceEnabled": True or False, # Optional. Specifies whether deeper semantic inference over the objects' contents using GenAI is enabled.
-      },
     },
   },
   "dataDocumentationResult": { # The output of a DataDocumentation scan. # Output only. The result of a data documentation scan.
@@ -654,85 +650,6 @@ 
Method Details

   "state": "A String", # Output only. Current state of the DataScan.
   "type": "A String", # Output only. The type of DataScan.
   "uid": "A String", # Output only. System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name.
-  "unstructuredDataProfileResult": { # Contains the result of an unstructured data profile scan. # Output only. The result of an unstructured data profile scan.
-    "description": "A String", # Output only. The inferred description.
-    "graphProfile": { # Contains the strict structure for graph-profile for semantic inference scan result. # Output only. The inferred graph profile.
-      "edgeTypes": [ # Output only. Edge types.
-        { # Represents a type of edge (relationship) in the graph.
-          "description": "A String", # Output only. Description of the edge type.
-          "extractionHints": { # Extraction hints (edge-level). # Output only. Extraction hints for the edge.
-            "cardinality": "A String", # Output only. Expected connectivity topology and bounds of this relationship. Format: "Topology - Description" Example: "1:N - One company can have multiple financial reports."
-          },
-          "fields": [ # Output only. Fields of the edge type.
-            { # Represents a field in a node or edge type.
-              "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE.
-              "description": "A String", # Output only. Description of the field.
-              "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field.
-                "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2).
-                "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing).
-              },
-              "fields": [ # Output only. Sub-fields of this field (for STRUCT types).
-                # Object with schema name: GoogleCloudDataplexV1GraphProfileField
-              ],
-              "metadataType": "A String", # Output only. The mapped metadata type.
-              "mode": "A String", # Output only. The mode of the field.
-              "name": "A String", # Output only. Name of the field.
-            },
-          ],
-          "foreignKeys": [ # Output only. Defines the Foreign Key constraints for the edge.
-            { # Represents a foreign key constraint.
-              "description": "A String", # Output only. Description of the foreign key.
-              "fieldMappings": [ # Output only. Field Mappings. Mappings between local fields and the fields they reference in the referenced node type.
-                { # Maps a local field to a referenced field.
-                  "field": "A String", # Output only. Local field name forming part of the foreign key.
-                  "referencedField": "A String", # Output only. Field name in the referenced node type.
-                },
-              ],
-              "name": "A String", # Output only. Name of the foreign key constraint.
-              "referencedNodeType": "A String", # Output only. The node type this constraint references.
-            },
-          ],
-          "name": "A String", # Output only. Name of the edge type.
-          "sourceNodeType": "A String", # Output only. Source node type.
-          "targetNodeType": "A String", # Output only. Target node type.
-        },
-      ],
-      "nodeTypes": [ # Output only. Node types.
-        { # Represents a type of node in the graph.
-          "description": "A String", # Output only. Description of the node type.
-          "extractionHints": { # Extraction hints (node-level). # Output only. Extraction hints for the node.
-            "cardinality": "A String", # Output only. Expected occurrence frequency of this node type within a document. Format: "Bounds - Description" Example: "0:N - A document may contain multiple people names."
-          },
-          "fields": [ # Output only. Fields of the node type.
-            { # Represents a field in a node or edge type.
-              "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE.
-              "description": "A String", # Output only. Description of the field.
-              "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field.
-                "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2).
-                "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing).
-              },
-              "fields": [ # Output only. Sub-fields of this field (for STRUCT types).
-                # Object with schema name: GoogleCloudDataplexV1GraphProfileField
-              ],
-              "metadataType": "A String", # Output only. The mapped metadata type.
-              "mode": "A String", # Output only. The mode of the field.
-              "name": "A String", # Output only. Name of the field.
-            },
-          ],
-          "name": "A String", # Output only. Name of the node type.
-          "primaryKeys": [ # Output only. Field names forming the primary keys. The order in this array defines the key's ordinal positions for composite keys.
-            "A String",
-          ],
-        },
-      ],
-    },
-    "partialFailureMessage": "A String", # Output only. Optional message for partial failures (e.g. node type extraction failed).
-  },
-  "unstructuredDataProfileSpec": { # Contains the specification for an unstructured data profile scan. # Optional. Settings for an unstructured data profile scan.
-    "customizedPrompt": "A String", # Optional. Customized prompt for unstructured data profile. The field will be used as part of the prompt, could be some instruction, specifying skill, or specific area to focus.
-    "globalEndpointEnabled": True or False, # Optional. Whether to use the global model.
-    "graphProfilePublishingEnabled": True or False, # Optional. Whether to publish graph-profile as aspect on the catalog entry.
-  },
   "updateTime": "A String", # Output only. The time when the scan was last updated.
 }
 
@@ -990,10 +907,6 @@ 
Method Details

         "encoding": "A String", # Optional. The character encoding of the data. The default is UTF-8.
         "typeInferenceDisabled": True or False, # Optional. Whether to disable the inference of data types for JSON data. If true, all columns are registered as their primitive types (strings, number, or boolean).
       },
-      "unstructuredDataOptions": { # Describes options for unstructured data discovery. # Optional. Specifies configuration for unstructured data discovery.
-        "globalEndpointEnabled": True or False, # Optional. Whether to use the global model endpoint.
-        "semanticInferenceEnabled": True or False, # Optional. Specifies whether deeper semantic inference over the objects' contents using GenAI is enabled.
-      },
     },
   },
   "dataDocumentationResult": { # The output of a DataDocumentation scan. # Output only. The result of a data documentation scan.
@@ -1466,85 +1379,6 @@ 
Method Details

   "state": "A String", # Output only. Current state of the DataScan.
   "type": "A String", # Output only. The type of DataScan.
   "uid": "A String", # Output only. System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name.
-  "unstructuredDataProfileResult": { # Contains the result of an unstructured data profile scan. # Output only. The result of an unstructured data profile scan.
-    "description": "A String", # Output only. The inferred description.
-    "graphProfile": { # Contains the strict structure for graph-profile for semantic inference scan result. # Output only. The inferred graph profile.
-      "edgeTypes": [ # Output only. Edge types.
-        { # Represents a type of edge (relationship) in the graph.
-          "description": "A String", # Output only. Description of the edge type.
-          "extractionHints": { # Extraction hints (edge-level). # Output only. Extraction hints for the edge.
-            "cardinality": "A String", # Output only. Expected connectivity topology and bounds of this relationship. Format: "Topology - Description" Example: "1:N - One company can have multiple financial reports."
-          },
-          "fields": [ # Output only. Fields of the edge type.
-            { # Represents a field in a node or edge type.
-              "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE.
-              "description": "A String", # Output only. Description of the field.
-              "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field.
-                "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2).
-                "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing).
-              },
-              "fields": [ # Output only. Sub-fields of this field (for STRUCT types).
-                # Object with schema name: GoogleCloudDataplexV1GraphProfileField
-              ],
-              "metadataType": "A String", # Output only. The mapped metadata type.
-              "mode": "A String", # Output only. The mode of the field.
-              "name": "A String", # Output only. Name of the field.
-            },
-          ],
-          "foreignKeys": [ # Output only. Defines the Foreign Key constraints for the edge.
-            { # Represents a foreign key constraint.
-              "description": "A String", # Output only. Description of the foreign key.
-              "fieldMappings": [ # Output only. Field Mappings. Mappings between local fields and the fields they reference in the referenced node type.
-                { # Maps a local field to a referenced field.
-                  "field": "A String", # Output only. Local field name forming part of the foreign key.
-                  "referencedField": "A String", # Output only. Field name in the referenced node type.
-                },
-              ],
-              "name": "A String", # Output only. Name of the foreign key constraint.
-              "referencedNodeType": "A String", # Output only. The node type this constraint references.
-            },
-          ],
-          "name": "A String", # Output only. Name of the edge type.
-          "sourceNodeType": "A String", # Output only. Source node type.
-          "targetNodeType": "A String", # Output only. Target node type.
-        },
-      ],
-      "nodeTypes": [ # Output only. Node types.
-        { # Represents a type of node in the graph.
-          "description": "A String", # Output only. Description of the node type.
-          "extractionHints": { # Extraction hints (node-level). # Output only. Extraction hints for the node.
-            "cardinality": "A String", # Output only. Expected occurrence frequency of this node type within a document. Format: "Bounds - Description" Example: "0:N - A document may contain multiple people names."
-          },
-          "fields": [ # Output only. Fields of the node type.
-            { # Represents a field in a node or edge type.
-              "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE.
-              "description": "A String", # Output only. Description of the field.
-              "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field.
-                "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2).
-                "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing).
-              },
-              "fields": [ # Output only. Sub-fields of this field (for STRUCT types).
-                # Object with schema name: GoogleCloudDataplexV1GraphProfileField
-              ],
-              "metadataType": "A String", # Output only. The mapped metadata type.
-              "mode": "A String", # Output only. The mode of the field.
-              "name": "A String", # Output only. Name of the field.
-            },
-          ],
-          "name": "A String", # Output only. Name of the node type.
-          "primaryKeys": [ # Output only. Field names forming the primary keys. The order in this array defines the key's ordinal positions for composite keys.
-            "A String",
-          ],
-        },
-      ],
-    },
-    "partialFailureMessage": "A String", # Output only. Optional message for partial failures (e.g. node type extraction failed).
-  },
-  "unstructuredDataProfileSpec": { # Contains the specification for an unstructured data profile scan. # Optional. Settings for an unstructured data profile scan.
-    "customizedPrompt": "A String", # Optional. Customized prompt for unstructured data profile. The field will be used as part of the prompt, could be some instruction, specifying skill, or specific area to focus.
-    "globalEndpointEnabled": True or False, # Optional. Whether to use the global model.
-    "graphProfilePublishingEnabled": True or False, # Optional. Whether to publish graph-profile as aspect on the catalog entry.
-  },
   "updateTime": "A String", # Output only. The time when the scan was last updated.
 }
@@ -1665,10 +1499,6 @@

Method Details

"encoding": "A String", # Optional. The character encoding of the data. The default is UTF-8. "typeInferenceDisabled": True or False, # Optional. Whether to disable the inference of data types for JSON data. If true, all columns are registered as their primitive types (strings, number, or boolean). }, - "unstructuredDataOptions": { # Describes options for unstructured data discovery. # Optional. Specifies configuration for unstructured data discovery. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model endpoint. - "semanticInferenceEnabled": True or False, # Optional. Specifies whether deeper semantic inference over the objects' contents using GenAI is enabled. - }, }, }, "dataDocumentationResult": { # The output of a DataDocumentation scan. # Output only. The result of a data documentation scan. @@ -2141,85 +1971,6 @@

Method Details

"state": "A String", # Output only. Current state of the DataScan. "type": "A String", # Output only. The type of DataScan. "uid": "A String", # Output only. System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name. - "unstructuredDataProfileResult": { # Contains the result of an unstructured data profile scan. # Output only. The result of an unstructured data profile scan. - "description": "A String", # Output only. The inferred description. - "graphProfile": { # Contains the strict structure for graph-profile for semantic inference scan result. # Output only. The inferred graph profile. - "edgeTypes": [ # Output only. Edge types. - { # Represents a type of edge (relationship) in the graph. - "description": "A String", # Output only. Description of the edge type. - "extractionHints": { # Extraction hints (edge-level). # Output only. Extraction hints for the edge. - "cardinality": "A String", # Output only. Expected connectivity topology and bounds of this relationship. Format: "Topology - Description" Example: "1:N - One company can have multiple financial reports." - }, - "fields": [ # Output only. Fields of the edge type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "foreignKeys": [ # Output only. Defines the Foreign Key constraints for the edge. - { # Represents a foreign key constraint. - "description": "A String", # Output only. Description of the foreign key. - "fieldMappings": [ # Output only. Field Mappings. Mappings between local fields and the fields they reference in the referenced node type. - { # Maps a local field to a referenced field. - "field": "A String", # Output only. Local field name forming part of the foreign key. - "referencedField": "A String", # Output only. Field name in the referenced node type. - }, - ], - "name": "A String", # Output only. Name of the foreign key constraint. - "referencedNodeType": "A String", # Output only. The node type this constraint references. - }, - ], - "name": "A String", # Output only. Name of the edge type. - "sourceNodeType": "A String", # Output only. Source node type. - "targetNodeType": "A String", # Output only. Target node type. - }, - ], - "nodeTypes": [ # Output only. Node types. - { # Represents a type of node in the graph. - "description": "A String", # Output only. Description of the node type. - "extractionHints": { # Extraction hints (node-level). # Output only. Extraction hints for the node. - "cardinality": "A String", # Output only. Expected occurrence frequency of this node type within a document. Format: "Bounds - Description" Example: "0:N - A document may contain multiple people names." - }, - "fields": [ # Output only. Fields of the node type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "name": "A String", # Output only. Name of the node type. - "primaryKeys": [ # Output only. Field names forming the primary keys. The order in this array defines the key's ordinal positions for composite keys. - "A String", - ], - }, - ], - }, - "partialFailureMessage": "A String", # Output only. Optional message for partial failures (e.g. node type extraction failed). - }, - "unstructuredDataProfileSpec": { # Contains the specification for an unstructured data profile scan. # Optional. Settings for an unstructured data profile scan. - "customizedPrompt": "A String", # Optional. Customized prompt for unstructured data profile. The field will be used as part of the prompt, could be some instruction, specifying skill, or specific area to focus. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model. - "graphProfilePublishingEnabled": True or False, # Optional. Whether to publish graph-profile as aspect on the catalog entry. - }, "updateTime": "A String", # Output only. The time when the scan was last updated. }, ], @@ -2301,10 +2052,6 @@

Method Details

"encoding": "A String", # Optional. The character encoding of the data. The default is UTF-8. "typeInferenceDisabled": True or False, # Optional. Whether to disable the inference of data types for JSON data. If true, all columns are registered as their primitive types (strings, number, or boolean). }, - "unstructuredDataOptions": { # Describes options for unstructured data discovery. # Optional. Specifies configuration for unstructured data discovery. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model endpoint. - "semanticInferenceEnabled": True or False, # Optional. Specifies whether deeper semantic inference over the objects' contents using GenAI is enabled. - }, }, }, "dataDocumentationResult": { # The output of a DataDocumentation scan. # Output only. The result of a data documentation scan. @@ -2777,85 +2524,6 @@

Method Details

"state": "A String", # Output only. Current state of the DataScan. "type": "A String", # Output only. The type of DataScan. "uid": "A String", # Output only. System generated globally unique ID for the scan. This ID will be different if the scan is deleted and re-created with the same name. - "unstructuredDataProfileResult": { # Contains the result of an unstructured data profile scan. # Output only. The result of an unstructured data profile scan. - "description": "A String", # Output only. The inferred description. - "graphProfile": { # Contains the strict structure for graph-profile for semantic inference scan result. # Output only. The inferred graph profile. - "edgeTypes": [ # Output only. Edge types. - { # Represents a type of edge (relationship) in the graph. - "description": "A String", # Output only. Description of the edge type. - "extractionHints": { # Extraction hints (edge-level). # Output only. Extraction hints for the edge. - "cardinality": "A String", # Output only. Expected connectivity topology and bounds of this relationship. Format: "Topology - Description" Example: "1:N - One company can have multiple financial reports." - }, - "fields": [ # Output only. Fields of the edge type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "foreignKeys": [ # Output only. Defines the Foreign Key constraints for the edge. - { # Represents a foreign key constraint. - "description": "A String", # Output only. Description of the foreign key. - "fieldMappings": [ # Output only. Field Mappings. Mappings between local fields and the fields they reference in the referenced node type. - { # Maps a local field to a referenced field. - "field": "A String", # Output only. Local field name forming part of the foreign key. - "referencedField": "A String", # Output only. Field name in the referenced node type. - }, - ], - "name": "A String", # Output only. Name of the foreign key constraint. - "referencedNodeType": "A String", # Output only. The node type this constraint references. - }, - ], - "name": "A String", # Output only. Name of the edge type. - "sourceNodeType": "A String", # Output only. Source node type. - "targetNodeType": "A String", # Output only. Target node type. - }, - ], - "nodeTypes": [ # Output only. Node types. - { # Represents a type of node in the graph. - "description": "A String", # Output only. Description of the node type. - "extractionHints": { # Extraction hints (node-level). # Output only. Extraction hints for the node. - "cardinality": "A String", # Output only. Expected occurrence frequency of this node type within a document. Format: "Bounds - Description" Example: "0:N - A document may contain multiple people names." - }, - "fields": [ # Output only. Fields of the node type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "name": "A String", # Output only. Name of the node type. - "primaryKeys": [ # Output only. Field names forming the primary keys. The order in this array defines the key's ordinal positions for composite keys. - "A String", - ], - }, - ], - }, - "partialFailureMessage": "A String", # Output only. Optional message for partial failures (e.g. node type extraction failed). - }, - "unstructuredDataProfileSpec": { # Contains the specification for an unstructured data profile scan. # Optional. Settings for an unstructured data profile scan. - "customizedPrompt": "A String", # Optional. Customized prompt for unstructured data profile. The field will be used as part of the prompt, could be some instruction, specifying skill, or specific area to focus. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model. - "graphProfilePublishingEnabled": True or False, # Optional. Whether to publish graph-profile as aspect on the catalog entry. - }, "updateTime": "A String", # Output only. The time when the scan was last updated. } @@ -2955,10 +2623,6 @@

Method Details

"encoding": "A String", # Optional. The character encoding of the data. The default is UTF-8. "typeInferenceDisabled": True or False, # Optional. Whether to disable the inference of data types for JSON data. If true, all columns are registered as their primitive types (strings, number, or boolean). }, - "unstructuredDataOptions": { # Describes options for unstructured data discovery. # Optional. Specifies configuration for unstructured data discovery. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model endpoint. - "semanticInferenceEnabled": True or False, # Optional. Specifies whether deeper semantic inference over the objects' contents using GenAI is enabled. - }, }, }, "dataDocumentationResult": { # The output of a DataDocumentation scan. # Output only. The result of a data documentation scan. @@ -3403,85 +3067,6 @@

Method Details

"state": "A String", # Output only. Execution state for the DataScanJob. "type": "A String", # Output only. The type of the parent DataScan. "uid": "A String", # Output only. System generated globally unique ID for the DataScanJob. - "unstructuredDataProfileResult": { # Contains the result of an unstructured data profile scan. # Output only. The result of an unstructured data profile scan. - "description": "A String", # Output only. The inferred description. - "graphProfile": { # Contains the strict structure for graph-profile for semantic inference scan result. # Output only. The inferred graph profile. - "edgeTypes": [ # Output only. Edge types. - { # Represents a type of edge (relationship) in the graph. - "description": "A String", # Output only. Description of the edge type. - "extractionHints": { # Extraction hints (edge-level). # Output only. Extraction hints for the edge. - "cardinality": "A String", # Output only. Expected connectivity topology and bounds of this relationship. Format: "Topology - Description" Example: "1:N - One company can have multiple financial reports." - }, - "fields": [ # Output only. Fields of the edge type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "foreignKeys": [ # Output only. Defines the Foreign Key constraints for the edge. - { # Represents a foreign key constraint. - "description": "A String", # Output only. Description of the foreign key. - "fieldMappings": [ # Output only. Field Mappings. Mappings between local fields and the fields they reference in the referenced node type. - { # Maps a local field to a referenced field. - "field": "A String", # Output only. Local field name forming part of the foreign key. - "referencedField": "A String", # Output only. Field name in the referenced node type. - }, - ], - "name": "A String", # Output only. Name of the foreign key constraint. - "referencedNodeType": "A String", # Output only. The node type this constraint references. - }, - ], - "name": "A String", # Output only. Name of the edge type. - "sourceNodeType": "A String", # Output only. Source node type. - "targetNodeType": "A String", # Output only. Target node type. - }, - ], - "nodeTypes": [ # Output only. Node types. - { # Represents a type of node in the graph. - "description": "A String", # Output only. Description of the node type. - "extractionHints": { # Extraction hints (node-level). # Output only. Extraction hints for the node. - "cardinality": "A String", # Output only. Expected occurrence frequency of this node type within a document. Format: "Bounds - Description" Example: "0:N - A document may contain multiple people names." - }, - "fields": [ # Output only. Fields of the node type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "name": "A String", # Output only. Name of the node type. - "primaryKeys": [ # Output only. Field names forming the primary keys. The order in this array defines the key's ordinal positions for composite keys. - "A String", - ], - }, - ], - }, - "partialFailureMessage": "A String", # Output only. Optional message for partial failures (e.g. node type extraction failed). - }, - "unstructuredDataProfileSpec": { # Contains the specification for an unstructured data profile scan. # Output only. Settings for an unstructured data profile scan. - "customizedPrompt": "A String", # Optional. Customized prompt for unstructured data profile. The field will be used as part of the prompt, could be some instruction, specifying skill, or specific area to focus. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model. - "graphProfilePublishingEnabled": True or False, # Optional. Whether to publish graph-profile as aspect on the catalog entry. - }, }, } diff --git a/docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html b/docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html index 320425044d..006c2a70e7 100644 --- a/docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html +++ b/docs/dyn/dataplex_v1.projects.locations.dataScans.jobs.html @@ -305,10 +305,6 @@

Method Details

"encoding": "A String", # Optional. The character encoding of the data. The default is UTF-8. "typeInferenceDisabled": True or False, # Optional. Whether to disable the inference of data types for JSON data. If true, all columns are registered as their primitive types (strings, number, or boolean). }, - "unstructuredDataOptions": { # Describes options for unstructured data discovery. # Optional. Specifies configuration for unstructured data discovery. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model endpoint. - "semanticInferenceEnabled": True or False, # Optional. Specifies whether deeper semantic inference over the objects' contents using GenAI is enabled. - }, }, }, "dataDocumentationResult": { # The output of a DataDocumentation scan. # Output only. The result of a data documentation scan. @@ -753,85 +749,6 @@

Method Details

"state": "A String", # Output only. Execution state for the DataScanJob. "type": "A String", # Output only. The type of the parent DataScan. "uid": "A String", # Output only. System generated globally unique ID for the DataScanJob. - "unstructuredDataProfileResult": { # Contains the result of an unstructured data profile scan. # Output only. The result of an unstructured data profile scan. - "description": "A String", # Output only. The inferred description. - "graphProfile": { # Contains the strict structure for graph-profile for semantic inference scan result. # Output only. The inferred graph profile. - "edgeTypes": [ # Output only. Edge types. - { # Represents a type of edge (relationship) in the graph. - "description": "A String", # Output only. Description of the edge type. - "extractionHints": { # Extraction hints (edge-level). # Output only. Extraction hints for the edge. - "cardinality": "A String", # Output only. Expected connectivity topology and bounds of this relationship. Format: "Topology - Description" Example: "1:N - One company can have multiple financial reports." - }, - "fields": [ # Output only. Fields of the edge type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "foreignKeys": [ # Output only. Defines the Foreign Key constraints for the edge. - { # Represents a foreign key constraint. - "description": "A String", # Output only. Description of the foreign key. - "fieldMappings": [ # Output only. Field Mappings. Mappings between local fields and the fields they reference in the referenced node type. - { # Maps a local field to a referenced field. - "field": "A String", # Output only. Local field name forming part of the foreign key. - "referencedField": "A String", # Output only. Field name in the referenced node type. - }, - ], - "name": "A String", # Output only. Name of the foreign key constraint. - "referencedNodeType": "A String", # Output only. The node type this constraint references. - }, - ], - "name": "A String", # Output only. Name of the edge type. - "sourceNodeType": "A String", # Output only. Source node type. - "targetNodeType": "A String", # Output only. Target node type. - }, - ], - "nodeTypes": [ # Output only. Node types. - { # Represents a type of node in the graph. - "description": "A String", # Output only. Description of the node type. - "extractionHints": { # Extraction hints (node-level). # Output only. Extraction hints for the node. - "cardinality": "A String", # Output only. Expected occurrence frequency of this node type within a document. Format: "Bounds - Description" Example: "0:N - A document may contain multiple people names." - }, - "fields": [ # Output only. Fields of the node type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "name": "A String", # Output only. Name of the node type. - "primaryKeys": [ # Output only. Field names forming the primary keys. The order in this array defines the key's ordinal positions for composite keys. - "A String", - ], - }, - ], - }, - "partialFailureMessage": "A String", # Output only. Optional message for partial failures (e.g. node type extraction failed). - }, - "unstructuredDataProfileSpec": { # Contains the specification for an unstructured data profile scan. # Output only. Settings for an unstructured data profile scan. - "customizedPrompt": "A String", # Optional. Customized prompt for unstructured data profile. The field will be used as part of the prompt, could be some instruction, specifying skill, or specific area to focus. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model. - "graphProfilePublishingEnabled": True or False, # Optional. Whether to publish graph-profile as aspect on the catalog entry. - }, } @@ -898,10 +815,6 @@

Method Details

"encoding": "A String", # Optional. The character encoding of the data. The default is UTF-8. "typeInferenceDisabled": True or False, # Optional. Whether to disable the inference of data types for JSON data. If true, all columns are registered as their primitive types (strings, number, or boolean). }, - "unstructuredDataOptions": { # Describes options for unstructured data discovery. # Optional. Specifies configuration for unstructured data discovery. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model endpoint. - "semanticInferenceEnabled": True or False, # Optional. Specifies whether deeper semantic inference over the objects' contents using GenAI is enabled. - }, }, }, "dataDocumentationResult": { # The output of a DataDocumentation scan. # Output only. The result of a data documentation scan. @@ -1346,85 +1259,6 @@

Method Details

"state": "A String", # Output only. Execution state for the DataScanJob. "type": "A String", # Output only. The type of the parent DataScan. "uid": "A String", # Output only. System generated globally unique ID for the DataScanJob. - "unstructuredDataProfileResult": { # Contains the result of an unstructured data profile scan. # Output only. The result of an unstructured data profile scan. - "description": "A String", # Output only. The inferred description. - "graphProfile": { # Contains the strict structure for graph-profile for semantic inference scan result. # Output only. The inferred graph profile. - "edgeTypes": [ # Output only. Edge types. - { # Represents a type of edge (relationship) in the graph. - "description": "A String", # Output only. Description of the edge type. - "extractionHints": { # Extraction hints (edge-level). # Output only. Extraction hints for the edge. - "cardinality": "A String", # Output only. Expected connectivity topology and bounds of this relationship. Format: "Topology - Description" Example: "1:N - One company can have multiple financial reports." - }, - "fields": [ # Output only. Fields of the edge type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "foreignKeys": [ # Output only. Defines the Foreign Key constraints for the edge. - { # Represents a foreign key constraint. - "description": "A String", # Output only. Description of the foreign key. - "fieldMappings": [ # Output only. Field Mappings. Mappings between local fields and the fields they reference in the referenced node type. - { # Maps a local field to a referenced field. - "field": "A String", # Output only. Local field name forming part of the foreign key. - "referencedField": "A String", # Output only. Field name in the referenced node type. - }, - ], - "name": "A String", # Output only. Name of the foreign key constraint. - "referencedNodeType": "A String", # Output only. The node type this constraint references. - }, - ], - "name": "A String", # Output only. Name of the edge type. - "sourceNodeType": "A String", # Output only. Source node type. - "targetNodeType": "A String", # Output only. Target node type. - }, - ], - "nodeTypes": [ # Output only. Node types. - { # Represents a type of node in the graph. - "description": "A String", # Output only. Description of the node type. - "extractionHints": { # Extraction hints (node-level). # Output only. Extraction hints for the node. - "cardinality": "A String", # Output only. Expected occurrence frequency of this node type within a document. Format: "Bounds - Description" Example: "0:N - A document may contain multiple people names." - }, - "fields": [ # Output only. Fields of the node type. - { # Represents a field in a node or edge type. - "dataType": "A String", # Output only. The data type of the field, e.g., STRING, INTEGER, DATE. - "description": "A String", # Output only. Description of the field. - "extractionHints": { # Extraction hints (field-level). # Output only. Extraction hints for the field. - "normalization": "A String", # Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2). - "synthesis": "A String", # Output only. Generates value from other data instead of direct extraction (e.g., hashing). - }, - "fields": [ # Output only. Sub-fields of this field (for STRUCT types). - # Object with schema name: GoogleCloudDataplexV1GraphProfileField - ], - "metadataType": "A String", # Output only. The mapped metadata type. - "mode": "A String", # Output only. The mode of the field. - "name": "A String", # Output only. Name of the field. - }, - ], - "name": "A String", # Output only. Name of the node type. - "primaryKeys": [ # Output only. Field names forming the primary keys. The order in this array defines the key's ordinal positions for composite keys. - "A String", - ], - }, - ], - }, - "partialFailureMessage": "A String", # Output only. Optional message for partial failures (e.g. node type extraction failed). - }, - "unstructuredDataProfileSpec": { # Contains the specification for an unstructured data profile scan. # Output only. Settings for an unstructured data profile scan. - "customizedPrompt": "A String", # Optional. Customized prompt for unstructured data profile. The field will be used as part of the prompt, could be some instruction, specifying skill, or specific area to focus. - "globalEndpointEnabled": True or False, # Optional. Whether to use the global model. - "graphProfilePublishingEnabled": True or False, # Optional. Whether to publish graph-profile as aspect on the catalog entry. - }, }, ], "nextPageToken": "A String", # Token to retrieve the next page of results, or empty if there are no more results in the list. diff --git a/googleapiclient/discovery_cache/documents/dataplex.v1.json b/googleapiclient/discovery_cache/documents/dataplex.v1.json index be86729e48..189a33b8c2 100644 --- a/googleapiclient/discovery_cache/documents/dataplex.v1.json +++ b/googleapiclient/discovery_cache/documents/dataplex.v1.json @@ -7576,7 +7576,7 @@ } } }, -"revision": "20260929", +"revision": "20261005", "rootUrl": "https://dataplex.googleapis.com/", "schemas": { "Empty": { @@ -9085,10 +9085,6 @@ "jsonOptions": { "$ref": "GoogleCloudDataplexV1DataDiscoverySpecStorageConfigJsonOptions", "description": "Optional. Configuration for JSON data." -}, -"unstructuredDataOptions": { -"$ref": "GoogleCloudDataplexV1DataDiscoverySpecStorageConfigUnstructuredDataOptions", -"description": "Optional. Specifies configuration for unstructured data discovery." } }, "type": "object" @@ -9136,21 +9132,6 @@ }, "type": "object" }, -"GoogleCloudDataplexV1DataDiscoverySpecStorageConfigUnstructuredDataOptions": { -"description": "Describes options for unstructured data discovery.", -"id": "GoogleCloudDataplexV1DataDiscoverySpecStorageConfigUnstructuredDataOptions", -"properties": { -"globalEndpointEnabled": { -"description": "Optional. Whether to use the global model endpoint.", -"type": "boolean" -}, -"semanticInferenceEnabled": { -"description": "Optional. Specifies whether deeper semantic inference over the objects' contents using GenAI is enabled.", -"type": "boolean" -} -}, -"type": "object" -}, "GoogleCloudDataplexV1DataDocumentationResult": { "description": "The output of a DataDocumentation scan.", "id": "GoogleCloudDataplexV1DataDocumentationResult", @@ -11092,16 +11073,14 @@ "DATA_QUALITY", "DATA_PROFILE", "DATA_DISCOVERY", -"DATA_DOCUMENTATION", -"UNSTRUCTURED_DATA_PROFILE" +"DATA_DOCUMENTATION" ], "enumDescriptions": [ "The data scan type is unspecified.", "Data quality scan.", "Data profile scan.", "Data discovery scan.", -"Data documentation scan.", -"Unstructured data profile scan." +"Data documentation scan." ], "readOnly": true, "type": "string" @@ -11111,15 +11090,6 @@ "readOnly": true, "type": "string" }, -"unstructuredDataProfileResult": { -"$ref": "GoogleCloudDataplexV1UnstructuredDataProfileResult", -"description": "Output only. The result of an unstructured data profile scan.", -"readOnly": true -}, -"unstructuredDataProfileSpec": { -"$ref": "GoogleCloudDataplexV1UnstructuredDataProfileSpec", -"description": "Optional. Settings for an unstructured data profile scan." -}, "updateTime": { "description": "Output only. The time when the scan was last updated.", "format": "google-datetime", @@ -11624,16 +11594,14 @@ "DATA_QUALITY", "DATA_PROFILE", "DATA_DISCOVERY", -"DATA_DOCUMENTATION", -"UNSTRUCTURED_DATA_PROFILE" +"DATA_DOCUMENTATION" ], "enumDescriptions": [ "The data scan type is unspecified.", "Data quality scan.", "Data profile scan.", "Data discovery scan.", -"Data documentation scan.", -"Unstructured data profile scan." +"Data documentation scan." ], "readOnly": true, "type": "string" @@ -11642,16 +11610,6 @@ "description": "Output only. System generated globally unique ID for the DataScanJob.", "readOnly": true, "type": "string" -}, -"unstructuredDataProfileResult": { -"$ref": "GoogleCloudDataplexV1UnstructuredDataProfileResult", -"description": "Output only. The result of an unstructured data profile scan.", -"readOnly": true -}, -"unstructuredDataProfileSpec": { -"$ref": "GoogleCloudDataplexV1UnstructuredDataProfileSpec", -"description": "Output only. Settings for an unstructured data profile scan.", -"readOnly": true } }, "type": "object" @@ -12862,284 +12820,6 @@ }, "type": "object" }, -"GoogleCloudDataplexV1GraphProfile": { -"description": "Contains the strict structure for graph-profile for semantic inference scan result.", -"id": "GoogleCloudDataplexV1GraphProfile", -"properties": { -"edgeTypes": { -"description": "Output only. Edge types.", -"items": { -"$ref": "GoogleCloudDataplexV1GraphProfileEdgeType" -}, -"readOnly": true, -"type": "array" -}, -"nodeTypes": { -"description": "Output only. Node types.", -"items": { -"$ref": "GoogleCloudDataplexV1GraphProfileNodeType" -}, -"readOnly": true, -"type": "array" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1GraphProfileEdgeType": { -"description": "Represents a type of edge (relationship) in the graph.", -"id": "GoogleCloudDataplexV1GraphProfileEdgeType", -"properties": { -"description": { -"description": "Output only. Description of the edge type.", -"readOnly": true, -"type": "string" -}, -"extractionHints": { -"$ref": "GoogleCloudDataplexV1GraphProfileEdgeTypeExtractionHints", -"description": "Output only. Extraction hints for the edge.", -"readOnly": true -}, -"fields": { -"description": "Output only. Fields of the edge type.", -"items": { -"$ref": "GoogleCloudDataplexV1GraphProfileField" -}, -"readOnly": true, -"type": "array" -}, -"foreignKeys": { -"description": "Output only. Defines the Foreign Key constraints for the edge.", -"items": { -"$ref": "GoogleCloudDataplexV1GraphProfileEdgeTypeForeignKey" -}, -"readOnly": true, -"type": "array" -}, -"name": { -"description": "Output only. Name of the edge type.", -"readOnly": true, -"type": "string" -}, -"sourceNodeType": { -"description": "Output only. Source node type.", -"readOnly": true, -"type": "string" -}, -"targetNodeType": { -"description": "Output only. Target node type.", -"readOnly": true, -"type": "string" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1GraphProfileEdgeTypeExtractionHints": { -"description": "Extraction hints (edge-level).", -"id": "GoogleCloudDataplexV1GraphProfileEdgeTypeExtractionHints", -"properties": { -"cardinality": { -"description": "Output only. Expected connectivity topology and bounds of this relationship. Format: \"Topology - Description\" Example: \"1:N - One company can have multiple financial reports.\"", -"readOnly": true, -"type": "string" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1GraphProfileEdgeTypeForeignKey": { -"description": "Represents a foreign key constraint.", -"id": "GoogleCloudDataplexV1GraphProfileEdgeTypeForeignKey", -"properties": { -"description": { -"description": "Output only. Description of the foreign key.", -"readOnly": true, -"type": "string" -}, -"fieldMappings": { -"description": "Output only. Field Mappings. Mappings between local fields and the fields they reference in the referenced node type.", -"items": { -"$ref": "GoogleCloudDataplexV1GraphProfileEdgeTypeForeignKeyFieldMapping" -}, -"readOnly": true, -"type": "array" -}, -"name": { -"description": "Output only. Name of the foreign key constraint.", -"readOnly": true, -"type": "string" -}, -"referencedNodeType": { -"description": "Output only. The node type this constraint references.", -"readOnly": true, -"type": "string" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1GraphProfileEdgeTypeForeignKeyFieldMapping": { -"description": "Maps a local field to a referenced field.", -"id": "GoogleCloudDataplexV1GraphProfileEdgeTypeForeignKeyFieldMapping", -"properties": { -"field": { -"description": "Output only. Local field name forming part of the foreign key.", -"readOnly": true, -"type": "string" -}, -"referencedField": { -"description": "Output only. Field name in the referenced node type.", -"readOnly": true, -"type": "string" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1GraphProfileField": { -"description": "Represents a field in a node or edge type.", -"id": "GoogleCloudDataplexV1GraphProfileField", -"properties": { -"dataType": { -"description": "Output only. The data type of the field, e.g., STRING, INTEGER, DATE.", -"readOnly": true, -"type": "string" -}, -"description": { -"description": "Output only. Description of the field.", -"readOnly": true, -"type": "string" -}, -"extractionHints": { -"$ref": "GoogleCloudDataplexV1GraphProfileFieldExtractionHints", -"description": "Output only. Extraction hints for the field.", -"readOnly": true -}, -"fields": { -"description": "Output only. Sub-fields of this field (for STRUCT types).", -"items": { -"$ref": "GoogleCloudDataplexV1GraphProfileField" -}, -"readOnly": true, -"type": "array" -}, -"metadataType": { -"description": "Output only. The mapped metadata type.", -"enum": [ -"METADATA_TYPE_UNSPECIFIED", -"BOOLEAN", -"NUMBER", -"STRING", -"BYTES", -"DATETIME", -"TIMESTAMP", -"GEOSPATIAL", -"STRUCT", -"OTHER" -], -"enumDescriptions": [ -"Unspecified metadata type.", -"Boolean type.", -"Numeric type.", -"String type.", -"Bytes type.", -"Date and time type.", -"Timestamp type.", -"Geospatial type.", -"Struct (record) type.", -"Other types not covered above." -], -"readOnly": true, -"type": "string" -}, -"mode": { -"description": "Output only. The mode of the field.", -"enum": [ -"MODE_UNSPECIFIED", -"NULLABLE", -"REPEATED", -"REQUIRED" -], -"enumDescriptions": [ -"Unspecified mode.", -"Field can be null.", -"Field can be repeated.", -"Field is required." -], -"readOnly": true, -"type": "string" -}, -"name": { -"description": "Output only. Name of the field.", -"readOnly": true, -"type": "string" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1GraphProfileFieldExtractionHints": { -"description": "Extraction hints (field-level).", -"id": "GoogleCloudDataplexV1GraphProfileFieldExtractionHints", -"properties": { -"normalization": { -"description": "Output only. Standardizes extracted data (e.g., to ISO 3166-1 alpha-2).", -"readOnly": true, -"type": "string" -}, -"synthesis": { -"description": "Output only. Generates value from other data instead of direct extraction (e.g., hashing).", -"readOnly": true, -"type": "string" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1GraphProfileNodeType": { -"description": "Represents a type of node in the graph.", -"id": "GoogleCloudDataplexV1GraphProfileNodeType", -"properties": { -"description": { -"description": "Output only. Description of the node type.", -"readOnly": true, -"type": "string" -}, -"extractionHints": { -"$ref": "GoogleCloudDataplexV1GraphProfileNodeTypeExtractionHints", -"description": "Output only. Extraction hints for the node.", -"readOnly": true -}, -"fields": { -"description": "Output only. Fields of the node type.", -"items": { -"$ref": "GoogleCloudDataplexV1GraphProfileField" -}, -"readOnly": true, -"type": "array" -}, -"name": { -"description": "Output only. Name of the node type.", -"readOnly": true, -"type": "string" -}, -"primaryKeys": { -"description": "Output only. Field names forming the primary keys. The order in this array defines the key's ordinal positions for composite keys.", -"items": { -"type": "string" -}, -"readOnly": true, -"type": "array" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1GraphProfileNodeTypeExtractionHints": { -"description": "Extraction hints (node-level).", -"id": "GoogleCloudDataplexV1GraphProfileNodeTypeExtractionHints", -"properties": { -"cardinality": { -"description": "Output only. Expected occurrence frequency of this node type within a document. Format: \"Bounds - Description\" Example: \"0:N - A document may contain multiple people names.\"", -"readOnly": true, -"type": "string" -} -}, -"type": "object" -}, "GoogleCloudDataplexV1ImportItem": { "description": "An object that describes the values that you want to set for an entry and its attached aspects when you import metadata. Used when you run a metadata import job. See CreateMetadataJob.You provide a collection of import items in a metadata import file. For more information about how to create a metadata import file, see Metadata import file (https://cloud.google.com/dataplex/docs/import-metadata#metadata-import-file).", "id": "GoogleCloudDataplexV1ImportItem", @@ -15649,47 +15329,6 @@ }, "type": "object" }, -"GoogleCloudDataplexV1UnstructuredDataProfileResult": { -"description": "Contains the result of an unstructured data profile scan.", -"id": "GoogleCloudDataplexV1UnstructuredDataProfileResult", -"properties": { -"description": { -"description": "Output only. The inferred description.", -"readOnly": true, -"type": "string" -}, -"graphProfile": { -"$ref": "GoogleCloudDataplexV1GraphProfile", -"description": "Output only. The inferred graph profile.", -"readOnly": true -}, -"partialFailureMessage": { -"description": "Output only. Optional message for partial failures (e.g. node type extraction failed).", -"readOnly": true, -"type": "string" -} -}, -"type": "object" -}, -"GoogleCloudDataplexV1UnstructuredDataProfileSpec": { -"description": "Contains the specification for an unstructured data profile scan.", -"id": "GoogleCloudDataplexV1UnstructuredDataProfileSpec", -"properties": { -"customizedPrompt": { -"description": "Optional. Customized prompt for unstructured data profile. The field will be used as part of the prompt, could be some instruction, specifying skill, or specific area to focus.", -"type": "string" -}, -"globalEndpointEnabled": { -"description": "Optional. Whether to use the global model.", -"type": "boolean" -}, -"graphProfilePublishingEnabled": { -"description": "Optional. Whether to publish graph-profile as aspect on the catalog entry.", -"type": "boolean" -} -}, -"type": "object" -}, "GoogleCloudDataplexV1UpdateEntryRequest": { "description": "Update Entry request.", "id": "GoogleCloudDataplexV1UpdateEntryRequest", From c712eb12651e3d1121cd6b80af073ba886a83e52 Mon Sep 17 00:00:00 2001 From: Yoshi Automation Date: Tue, 13 Oct 2026 07:31:44 +0000 Subject: [PATCH 11/32] fix(developerconnect): update the api #### developerconnect:v1 The following keys were changed: - endpoints (Total Keys: 1) --- .../documents/developerconnect.v1.json | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) diff --git a/googleapiclient/discovery_cache/documents/developerconnect.v1.json b/googleapiclient/discovery_cache/documents/developerconnect.v1.json index 06ec1e1377..c9c5c74881 100644 --- a/googleapiclient/discovery_cache/documents/developerconnect.v1.json +++ b/googleapiclient/discovery_cache/documents/developerconnect.v1.json @@ -63,6 +63,11 @@ }, { "description": "Regional Endpoint", +"endpointUrl": "https://developerconnect.asia-southeast3.rep.googleapis.com/", +"location": "asia-southeast3" +}, +{ +"description": "Regional Endpoint", "endpointUrl": "https://developerconnect.australia-southeast1.rep.googleapis.com/", "location": "australia-southeast1" }, @@ -83,6 +88,11 @@ }, { "description": "Regional Endpoint", +"endpointUrl": "https://developerconnect.europe-north2.rep.googleapis.com/", +"location": "europe-north2" +}, +{ +"description": "Regional Endpoint", "endpointUrl": "https://developerconnect.europe-southwest1.rep.googleapis.com/", "location": "europe-southwest1" }, @@ -1955,7 +1965,7 @@ } } }, -"revision": "20260914", +"revision": "20261002", "rootUrl": "https://developerconnect.googleapis.com/", "schemas": { "AccountConnector": { From 2f3a581f3a3ce5cf1d8d471a07cc693b6fb0cfaf Mon Sep 17 00:00:00 2001 From: Yoshi Automation Date: Tue, 13 Oct 2026 07:31:44 +0000 Subject: [PATCH 12/32] feat(devicerun): update the api #### devicerun:v1alpha The following keys were added: - resources.projects.resources.locations.resources.sessions.methods.batchGet (Total Keys: 14) - schemas.BatchGetSessionsResponse (Total Keys: 4) --- ...n_v1alpha.projects.locations.sessions.html | 360 ++++++++++++++++++ .../documents/devicerun.v1alpha.json | 47 ++- 2 files changed, 406 insertions(+), 1 deletion(-) diff --git a/docs/dyn/devicerun_v1alpha.projects.locations.sessions.html b/docs/dyn/devicerun_v1alpha.projects.locations.sessions.html index bf0d8256fd..d014b44249 100644 --- a/docs/dyn/devicerun_v1alpha.projects.locations.sessions.html +++ b/docs/dyn/devicerun_v1alpha.projects.locations.sessions.html @@ -74,6 +74,9 @@

Device Run API . projects . locations . sessions

Instance Methods

+

+ batchGet(parent, names=None, x__xgafv=None)

+

Retrieves multiple automation sessions in a single batch request. Sessions are returned in the same order as the `names` in the request. If any of the requested sessions does not exist, the whole request fails with `NOT_FOUND` and no sessions are returned. When calling this method over HTTP/REST with a large number of `names`, the request URL may exceed the maximum URL length (about 16 KB) and be rejected. In that case, send a `POST` request to the same URL with the `X-HTTP-Method-Override: GET` header and pass the request parameters in a JSON (`application/json`) or form-encoded (`application/x-www-form-urlencoded`) body. See https://cloud.google.com/apis/docs/http#long_request_urls.

cancel(name, body=None, x__xgafv=None)

Cancels an in-progress automation session. This RPC returns immediately and cancellation proceeds asynchronously. If the session is already finished, this RPC will have no effect.

@@ -96,6 +99,363 @@

Instance Methods

list_next(previous_request, previous_response)

Retrieves the next page of results.

Method Details

+
+ batchGet(parent, names=None, x__xgafv=None) + 
Retrieves multiple automation sessions in a single batch request. Sessions are returned in the same order as the `names` in the request. If any of the requested sessions does not exist, the whole request fails with `NOT_FOUND` and no sessions are returned. When calling this method over HTTP/REST with a large number of `names`, the request URL may exceed the maximum URL length (about 16 KB) and be rejected. In that case, send a `POST` request to the same URL with the `X-HTTP-Method-Override: GET` header and pass the request parameters in a JSON (`application/json`) or form-encoded (`application/x-www-form-urlencoded`) body. See https://cloud.google.com/apis/docs/http#long_request_urls.
+
+Args:
+  parent: string, Required. The parent resource shared by all sessions being retrieved. Format: `projects/{project}/locations/{location}`. The `parent` field in the `BatchGetSessionsRequest` message must match the `parent` of all `Session` resource names in `names`. (required)
+  names: string, Required. The names of the sessions to retrieve. A maximum of 500 sessions can be retrieved in a batch. Format: `projects/{project}/locations/{location}/sessions/{session}`. (repeated)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response including the requested sessions.
+  "sessions": [ # The requested sessions, in the same order as the `names` in the request.
+    { # A session resource in the AutomationSession API. At a high level, `Session` describes the configuration of one or multiple jobs, the state transitions it goes through, and the results.
+      "name": "A String", # Identifier. The resource name of the session. Format: `projects/{project}/locations/{location}/sessions/{session}`.
+      "sessionConfig": { # SessionConfig is used to create a session. # Required. Configuration used to create the session.
+        "displayName": "A String", # Optional. User-settable, human-readable name for the session. Maximum size is 63 bytes when encoded as UTF-8. If set, must match regex: `^A-Za-z0-9*$`.
+        "jobConfigs": [ # Required. Configs of the jobs in the session.
+          { # The configuration of a job.
+            "action": { # The action to be performed in a job. # Required. Job action.
+              "androidInstrumentationTest": { # The configuration of an Android instrumentation test. See https://developer.android.com/training/testing/instrumented-tests for more information on Android instrumentation tests. # Android instrumentation test.
+                "additionalTestOptions": { # Optional. Additional test options to pass to the test runner. Passed to `am instrument` command as `-e` options, which will be passed to the instrumentation test runner using its `onCreate()` method. Formats supported in test_targets are not allowed to be used here. Limits: - Maximum number of entries: 32. - Maximum key size: 64 bytes (UTF-8). - Maximum value size: 1024 bytes (UTF-8).
+                  "a_key": "A String",
+                },
+                "enableCodeCoverage": True or False, # Optional. Whether to enable code coverage collection for the test. A coverage file `coverage.ec` will be uploaded to the results folder. For this to work, your classes have to be instrumented offline (build time) by EMMA/JaCoCo.
+                "instrumentationTimeout": "A String", # Optional. The timeout of the instrumentation test. Default value: 5 min. Range: [1 min, 3 hours].
+                "orchestratorVersion": "A String", # Optional. The version of the Android Test Orchestrator to use for the test. The available orchestrator versions can be retrieved from the catalog service. If set to "auto", the default orchestrator is used. If not set, no orchestrator is used.
+                "smartSharding": { # The smart sharding strategy to split the job into multiple shards based on the test methods and their recorded execution time. # Optional. Smart sharding strategy to split the job into multiple shards based on the test methods and their execution time.
+                  "maxShardCount": 42, # Optional. The maximum number of shards to create. If unset or less than 1, system-defined max limits are used. This limit takes precedence if the targeted_shard_duration cannot be satisfied. Limits: - For physical devices, the number of shards must be <= 20. - For virtual devices, the number of shards must be <= 200.
+                  "targetedShardDuration": "A String", # Required. The targeted duration of each shard. Limits: - Must be at least 2 minutes. - Must be at most 3 hours. Shard duration is not guaranteed because smart sharding uses test case history and default durations which may not be accurate. Durations are calculated based on the following inputs: - Timing records from previous runs of the same test case. - For new test cases, the average duration of other known test cases. - A system-chosen, default duration if there are no previous timing records available. Because the actual shard duration can exceed the targeted shard duration, we recommend that you set the targeted value at least 5 minutes less than the maximum allowed instrumentation timeout. This approach avoids cancelling the shard before all tests can finish.
+                  "timingRecord": { # Input file. # Required. The timing record file to use for smart sharding. If the file does not exist, smart sharding will use default test time (30s) for each test method to shard the job into multiple shards. This file will be overwritten with the latest timing record after the job is completed.
+                    "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                      "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                    },
+                  },
+                },
+                "testInstallable": { # An Android Installable represents the file(s) for installing an Android package on a device. This can be an APK, an Android App Bundle (AAB), or an APK Set. # Required. The test package to install and run the test.
+                  "files": [ # Required. Files that make up the package. Supported formats are distinguished by their file extension: - APK: One or more files with extension `.apk`. - App Bundle: A single file with extension `.aab`. - APK Set: A single file with extension `.apks`.
+                    { # Input file.
+                      "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                        "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                      },
+                    },
+                  ],
+                },
+                "testRunnerClass": "A String", # Optional. Full class name of the test runner class. The class must be `androidx.test.runner.AndroidJUnitRunner` or a subclass of it. The default value is determined by examining the application's manifest. If multiple instrumentations are found, the first one in the manifest will be used.
+                "testTargets": [ # Optional. A list of test targets or target filters to run. Each target must be fully qualified with the package name or class name, in one of these formats: - `package package_name` - `notPackage com.package.to.skip` - `class package_name.class_name` - `class package_name.class_name#method_name` - `notClass com.foo.ClassToSkip` - `notClass com.foo.ClassName#testMethodToSkip` - `annotation com.foo.AnnotationToRun` - `notAnnotation com.foo.AnnotationToSkip` - `size [small|medium|large]` Formats like `testfile` or `notTestfile` won't be supported. If empty, all targets in the module will be run. Limits: - Maximum number of entries: 1024.
+                  "A String",
+                ],
+                "uniformSharding": { # Uniformly shards test cases given a total number of shards. It will be translated to `-e numShard` and `-e shardIndex` AndroidJUnitRunner arguments. With uniform sharding enabled, specifying either of these sharding arguments via `environment_variables` is invalid. Based on the sharding mechanism AndroidJUnitRunner uses, there is no guarantee that test cases will be distributed uniformly across all shards. # Optional. Uniform sharding strategy to split the job into multiple shards with equal number of test methods.
+                  "shardCount": 42, # Required. The total number of shards to create. This must always be a positive number that is no greater than the total number of test cases. Limits: - For physical devices, the number of shards must be <= 20. - For virtual devices, the number of shards must be <= 200.
+                },
+              },
+              "androidNativeBinary": { # The configuration of an Android native binary execution. # Android native binary execution.
+                "androidNativeBinary": { # Input file. # Required. The file path of the Android native binary.
+                  "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                    "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                  },
+                },
+                "args": [ # Optional. Arguments for running the binary file. The flags will be appended to the command line that invokes the binary. Limits: - Maximum number of entries: 64 - Maximum entry size: 1024 bytes (UTF-8)
+                  "A String",
+                ],
+                "envVars": { # Optional. A map of environment variables to set for the binary process. The keys are the variable names and the values are the variable values. Limits: - Maximum number of entries: 32 - Maximum key size: 64 bytes (UTF-8) - Key regex: `a-zA-Z_*` - Maximum value size: 1024 bytes (UTF-8)
+                  "a_key": "A String",
+                },
+                "executionTimeout": "A String", # Optional. The timeout of the execution. Default value: 5 min. Range: [1 min, 3 hours].
+              },
+              "iosXcTest": { # The configuration of an iOS XCTest. # iOS XCTest.
+                "testsZip": { # Input file. # Required. The .zip containing the .xctestrun file and the contents of the DerivedData/Build/Products directory.
+                  "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                    "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                  },
+                },
+                "xcTestTimeout": "A String", # Optional. The timeout of the test. Default value: 5 min. Range: [1 min, 3 hours].
+                "xcodeVersion": "A String", # Optional. The Xcode version that should be used for the test. If not set, a system-default Xcode version is used. The available Xcode versions can be retrieved from the catalog service.
+                "xctestrun": { # Input file. # Optional. An .xctestrun file that will override the .xctestrun file in the tests zip.
+                  "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                    "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                  },
+                },
+              },
+            },
+            "allocationConfig": { # Allocation config. # Required. Allocation config.
+              "deviceConfigs": [ # Required. At least one device config is required. If more than one device config is required, the multiple devices are allocated to each shard of the OmniLab job to run multi-device-interaction tests.
+                { # The configuration of a run on a device.
+                  "actions": [ # Optional. The actions to be performed on the device. Actions will be executed in the order they are specified in the list. Each action type can at most have 1 instance in the list.
+                    { # The action to be performed on a device.
+                      "androidBugreport": { # Captures a bugreport from the device. The output will be written to a file named `bugreport.zip` in the execution output directory. # Captures a bugreport from the device unless the test result is pass.
+                        "collectOnPass": True or False, # Optional. Whether to deliver the bugreport when the test passes. If false, the bugreport is skipped on pass to save time (default behavior). If true, the bugreport is always delivered.
+                      },
+                      "androidDumpsys": { # Captures dumpsys output from the device. The output will be written to a file named `dumpsys.log` in the execution output directory. # Captures a dumpsys from the device.
+                        "collectOnPass": True or False, # Optional. Whether to deliver the dumpsys when the test passes. If false, the dumpsys is skipped on pass to save time (default behavior). If true, the dumpsys is always delivered.
+                      },
+                      "androidInstallPackages": { # Installs Android packages on the device. At least one installable is specified when using this device action. Limits: - A maximum of 20 installables in total are allowed. - A maximum of 100 files are allowed in total across all installables. # Installs Android packages on the device.
+                        "installables": [ # Optional. Deprecated: use `pre_target_app_installables`, `target_app` and `post_target_app_installables` instead. The Android packages to install on the device. The installation will be performed in the order specified, before the installables of all other fields.
+                          { # An Android Installable represents the file(s) for installing an Android package on a device. This can be an APK, an Android App Bundle (AAB), or an APK Set.
+                            "files": [ # Required. Files that make up the package. Supported formats are distinguished by their file extension: - APK: One or more files with extension `.apk`. - App Bundle: A single file with extension `.aab`. - APK Set: A single file with extension `.apks`.
+                              { # Input file.
+                                "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                                  "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                                },
+                              },
+                            ],
+                          },
+                        ],
+                        "postTargetAppInstallables": [ # Optional. The Android packages to install on the device after `target_app` (if specified) is installed. The installation will be performed in the order specified.
+                          { # An Android Installable represents the file(s) for installing an Android package on a device. This can be an APK, an Android App Bundle (AAB), or an APK Set.
+                            "files": [ # Required. Files that make up the package. Supported formats are distinguished by their file extension: - APK: One or more files with extension `.apk`. - App Bundle: A single file with extension `.aab`. - APK Set: A single file with extension `.apks`.
+                              { # Input file.
+                                "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                                  "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                                },
+                              },
+                            ],
+                          },
+                        ],
+                        "preTargetAppInstallables": [ # Optional. The Android packages to install on the device before `target_app` (if specified) is installed. The installation will be performed in the order specified.
+                          { # An Android Installable represents the file(s) for installing an Android package on a device. This can be an APK, an Android App Bundle (AAB), or an APK Set.
+                            "files": [ # Required. Files that make up the package. Supported formats are distinguished by their file extension: - APK: One or more files with extension `.apk`. - App Bundle: A single file with extension `.aab`. - APK Set: A single file with extension `.apks`.
+                              { # Input file.
+                                "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                                  "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                                },
+                              },
+                            ],
+                          },
+                        ],
+                        "targetApp": { # An Android Installable represents the file(s) for installing an Android package on a device. This can be an APK, an Android App Bundle (AAB), or an APK Set. # Optional. The primary Android package to install, serving as the target package for subsequent actions and as the installation ordering anchor. Whether this package is treated as the application under test depends on the job action: - Actions that require an explicit target package (such as performance metrics collection, or accessibility scans) use this package to identify the application to inspect or drive. - Actions that discover or manage targets independently (such as Android instrumentation tests, where target packages are defined in the test runner manifest) treat this field primarily as an installation order anchor between pre- and post-installables. Optional. If omitted, all packages in `pre_target_app_installables` and `post_target_app_installables` are installed without a designated target package.
+                          "files": [ # Required. Files that make up the package. Supported formats are distinguished by their file extension: - APK: One or more files with extension `.apk`. - App Bundle: A single file with extension `.aab`. - APK Set: A single file with extension `.apks`.
+                            { # Input file.
+                              "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                                "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                              },
+                            },
+                          ],
+                        },
+                      },
+                      "androidLogcat": { # Collects logcat output from the device. The output will be written to a file named `logcat.txt` in the execution output directory. # Collects logcat output from the device.
+                      },
+                      "androidMockLocation": { # Mocks the location of the Android device. # Mocks the location of the device.
+                        "location": { # An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. # Required. The mock location to set on the device.
+                          "latitude": 3.14, # The latitude in degrees. It must be in the range [-90.0, +90.0].
+                          "longitude": 3.14, # The longitude in degrees. It must be in the range [-180.0, +180.0].
+                        },
+                      },
+                      "androidOrientation": { # Sets the orientation of the device. # Sets the orientation of the device.
+                        "orientation": "A String", # Required. The orientation to set the device to. One of `portrait` or `landscape`.
+                      },
+                      "androidPullFiles": { # Pulls directories and files from the device at the end of the run. Files will be copied to the '/artifacts' directory, with the absolute path structure preserved. Note that: 1. A clean device is provided for the run. 2. Any existing files in the output directory may be overwritten. 3. Pulling files is best effort. Will skip files if they don't exist on the device. # Pulls directories and files from the device at the end of the run.
+                        "paths": [ # Required. Absolute directory or file paths to pull from the device. Limits: - A maximum of 10 paths are allowed.
+                          "A String",
+                        ],
+                      },
+                      "androidPushFiles": { # Pushes files to the device at the beginning of the run. Files are overwritten if a file with the same path already exists on the device, if device permissions allow. # Pushes files to the device at the beginning of the run.
+                        "fileConfigs": [ # Required. Configs of pushing files to the device. Limits: - A maximum of 50 files are allowed.
+                          { # The configuration of pushing a file to the device.
+                            "destinationPath": "A String", # Required. The destination path on the device.
+                            "sourceFile": { # Input file. # Required. The file to be pushed to the device.
+                              "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                                "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                              },
+                            },
+                          },
+                        ],
+                      },
+                      "androidRecordVideo": { # Records a video of the device screen during the run. The video will be written to a file named `video.mp4` in the execution output directory. # Records a video of the device screen during the run.
+                        "discardOnPass": True or False, # Optional. Whether to discard and not upload the recording when the test passes. Default is false.
+                      },
+                      "androidSwitchLocale": { # Switches the locale (language and region) of the device. # Switches the locale (language and region) of the device.
+                        "localeCode": "A String", # Required. The locale (language and region) to switch the device to. The format is `language-region`, e.g. "en-US", "zh-CN", etc. The typical language value is a two or three-letter language code as defined in ISO639. The typical region value is a two-letter ISO 3166 code or a three-digit UN M.49 area code.
+                      },
+                      "iosAppPrivacyReport": { # Collects the exported iOS App Privacy Report during the test run. When enabled, the iOS device records application activity (such as network access, domain requests, and sensitive resource access like photos, camera, or location) and exports Apple's official App Privacy Report. The report will be written to a file named `AppActivityReport.ndjson` in the execution output directory. # Collects the exported iOS App Privacy Report during the run.
+                      },
+                      "iosInstallPackages": { # Installs iOS packages on the device. # Installs additional iOS packages on the device.
+                        "ipas": [ # Required. Additional iOS packages (IPAs) to install on the device. Limits: - A maximum of 20 IPAs are allowed.
+                          { # Input file.
+                            "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                              "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                            },
+                          },
+                        ],
+                      },
+                      "iosPullFiles": { # Pulls directories and files from the iOS device sandbox at the end of the run. # Pulls directories and files from the iOS device sandbox at the end of the run.
+                        "paths": [ # Required. Absolute directory or file paths to pull from the device. Limits: - A maximum of 10 paths are allowed.
+                          { # The configuration of pulling a file or directory from the iOS device.
+                            "bundleId": "A String", # Required. The bundle ID of the application sandbox.
+                            "devicePath": "A String", # Required. The device path relative to the app sandbox, e.g. "/Documents/output/".
+                          },
+                        ],
+                      },
+                      "iosPushFiles": { # Pushes files to the iOS device sandbox at the beginning of the run. # Pushes files to the iOS device sandbox at the beginning of the run.
+                        "fileConfigs": [ # Required. Configs of pushing files to the device. Limits: - A maximum of 50 files are allowed.
+                          { # The configuration of pushing a file to the iOS device.
+                            "bundleId": "A String", # Required. The bundle ID of the application sandbox.
+                            "destinationPath": "A String", # Required. The destination path relative to the app sandbox, e.g. "/Documents/file.txt".
+                            "sourceFile": { # Input file. # Required. The file to be pushed.
+                              "gcsInputFile": { # A path to a file or directory in Google Cloud Storage. # An input file in Google Cloud Storage.
+                                "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                              },
+                            },
+                          },
+                        ],
+                      },
+                      "iosRecordVideo": { # Records a video of the iOS device screen during the run. The video will be written to a file named `video.mp4` in the execution output directory. # Records a video of the iOS device screen during the run.
+                        "discardOnPass": True or False, # Optional. Whether to discard the video if the test passes. If not specified, the default is false (always keep the video).
+                      },
+                      "iosSwitchLocale": { # Switches the locale (language and region) of the iOS application. # Switches the locale (language and region) of the iOS application.
+                        "localeCode": "A String", # Required. The locale (language and region) to switch the app to. The format is `language-region` or `language`, e.g. "en-US", "zh-CN", "ja", etc.
+                      },
+                    },
+                  ],
+                  "requirement": { # The requirement of a device. # Required. The requirement of the device.
+                    "deviceId": "A String", # The device ID of a device in the catalog. The device ID is the last part of a device's resource name.
+                  },
+                },
+              ],
+            },
+            "displayName": "A String", # Optional. User-settable, human-readable name for the job. If set, it must be unique within the session. If not set, the display name will default to `job-`, where `` is the 0-based index of the job in the session formatted as three digits (e.g., job-000, job-001, ...). Maximum size is 63 bytes when encoded as UTF-8. If set, must match regex: `^A-Za-z0-9*$`.
+            "labels": { # Optional. User-defined metadata for tracking or categorization. These labels do not affect job execution and are surfaced in the JobReport. Limits: - Maximum number of entries: 16. - Maximum key size: 32 bytes (UTF-8). - Maximum value size: 1024 bytes (UTF-8).
+              "a_key": "A String",
+            },
+            "settings": { # Job settings to control the job execution. # Optional. Job settings.
+              "retrySettings": { # Retry settings. # Optional. The retry settings of the job.
+                "flakyTestRetryStrategy": { # Default retry strategy. It will retry on test failures for up to flaky_test_attempts (including the initial run). It also retries on infra issues for up to 2 attempts (including the initial run). So in total, an execution can run up to flaky_test_attempts * 2 times in the worst case. # Optional. The default retry strategy. Allows an Execution to retry on test failures and infrastructure errors.
+                  "flakyTestAttempts": 42, # Required. The total attempts for flaky tests, including the initial run. Default value: 1 (no retry). Range: [1, 5].
+                  "parallelRetry": True or False, # Optional. Whether to retry the test failures in parallel. By default, the test is retried sequentially. If true, when the initial attempt fails, (flaky_test_attempts - 1) attempts will be triggered at the same time to run in parallel.
+                  "testReductionMode": "A String", # Optional. The mode of test reduction for retry. If the test runner doesn't support the specified test reduction mode, the request will be rejected with an `INVALID_ARGUMENT` error.
+                },
+              },
+            },
+          },
+        ],
+        "notificationConfig": { # Config to control session notification. # Optional. Notification config for the session.
+          "pubsubTopic": [ # Optional. The Pub/Sub topics to which session events are published. Format: `projects/{project}/topics/{topic}`. See https://cloud.google.com/pubsub/docs/admin#topic_and_subscription_name_restrictions
+            "A String",
+          ],
+        },
+        "outputDirectoryConfig": { # Config to control session output file directory. # Required. Output file directory config for the session.
+          "flatDirectoryStructure": True or False, # Optional. Whether to write output files directly under the output directory instead of nesting them under service-generated subdirectories. By default (`false`), output files are stored under `////`. When `true`, the session ID subdirectory is never appended, and the job display name subdirectory is appended only when the session has more than one job. Output files are therefore stored under: - `//` for a single-job session. - `///` for a multi-job session. Set this to `true` when the output directory is already unique per session (for example, when a CI system generates it), to avoid redundant nesting.
+          "gcsOutputDirectory": { # A path to a file or directory in Google Cloud Storage. # The Google Cloud Storage path of the output directory (e.g. `gs://my-bucket/output`). The bucket must exist. If the bucket is located in another project or uses fine-grained access controls, ensure the Device Run Service Agent of the project (`service-@gcp-sa-devicerun.iam.gserviceaccount.com`) is granted access to the bucket (such as `roles/storage.objectUser`).
+            "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+          },
+        },
+      },
+      "sessionReport": { # The runtime information and result report of a session. # Output only. The runtime information and result report of the session.
+        "endTime": "A String", # Output only. The end time of the session.
+        "id": "A String", # Output only. The unique identifier of the session.
+        "jobReports": [ # Output only. Reports of the jobs in the session.
+          { # The runtime information and result report of a job.
+            "displayName": "A String", # Output only. The display_name set by users in the JobConfig.
+            "endTime": "A String", # Output only. The end time of the job.
+            "executionReports": [ # Output only. Reports of the execution attempts of the job.
+              { # The runtime information and result report of a single on-device execution attempt.
+                "displayName": "A String", # Output only. The display_name set by users in the ExecutionConfig.
+                "endTime": "A String", # Output only. The end time of the execution.
+                "id": "A String", # Output only. The unique identifier of the execution.
+                "outputFiles": [ # Output only. The output files of the execution.
+                  { # Output file.
+                    "gcsOutputFile": { # A path to a file or directory in Google Cloud Storage. # An output file in Google Cloud Storage.
+                      "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                    },
+                  },
+                ],
+                "result": { # The result of a session/job/execution. # Output only. The result of the execution.
+                  "cause": { # Describes the cause of the non-passed result occurred during the execution. # Output only. Detailed result cause diagnostics. Set if type is not PASSED.
+                    "summary": { # Describes the summary of an issue (error or warning) with structured details. # Output only. Structured cause detail.
+                      "message": "A String", # Output only. Human-readable explanation of the issue in English.
+                      "reason": "A String", # Output only. The reason of the issue. This is a constant value that identifies the proximate cause of the issue. This should be at most 63 characters and match a regular expression of `A-Z*[A-Z0-9]`, which represents UPPER_SNAKE_CASE.
+                      "type": "A String", # Output only. The issue classification based on responsibility.
+                    },
+                  },
+                  "resultType": "A String", # Output only. The result type of the session/job/execution.
+                },
+                "startTime": "A String", # Output only. The start time of the execution.
+                "status": { # The status of a session/job/execution. # Output only. The status of the execution.
+                  "progressMessages": [ # Output only. Human-readable, detailed descriptions of the session/job/execution's progress. For example: "Provisioning a device", "Starting Test". Each message should contain only one line of text. During the course of execution new data may be appended to the end of progress_messages.
+                    "A String",
+                  ],
+                  "statusType": "A String", # Output only. The status type of the session/job/execution.
+                },
+                "warnings": [ # Output only. Non-fatal warnings collected during the execution.
+                  { # Non-fatal operational anomaly, lint observation, or execution insight.
+                    "summary": { # Describes the summary of an issue (error or warning) with structured details. # Output only. Detailed warning summary.
+                      "message": "A String", # Output only. Human-readable explanation of the issue in English.
+                      "reason": "A String", # Output only. The reason of the issue. This is a constant value that identifies the proximate cause of the issue. This should be at most 63 characters and match a regular expression of `A-Z*[A-Z0-9]`, which represents UPPER_SNAKE_CASE.
+                      "type": "A String", # Output only. The issue classification based on responsibility.
+                    },
+                  },
+                ],
+              },
+            ],
+            "id": "A String", # Output only. The unique identifier of the job.
+            "labels": { # Output only. The original labels provided by the user during job creation.
+              "a_key": "A String",
+            },
+            "outputFiles": [ # Output only. The output files of the job.
+              { # Output file.
+                "gcsOutputFile": { # A path to a file or directory in Google Cloud Storage. # An output file in Google Cloud Storage.
+                  "path": "A String", # Required. The Google Cloud Storage path of the file or directory. Format: `gs:///`.
+                },
+              },
+            ],
+            "result": { # The result of a session/job/execution. # Output only. The result of the job.
+              "cause": { # Describes the cause of the non-passed result occurred during the execution. # Output only. Detailed result cause diagnostics. Set if type is not PASSED.
+                "summary": { # Describes the summary of an issue (error or warning) with structured details. # Output only. Structured cause detail.
+                  "message": "A String", # Output only. Human-readable explanation of the issue in English.
+                  "reason": "A String", # Output only. The reason of the issue. This is a constant value that identifies the proximate cause of the issue. This should be at most 63 characters and match a regular expression of `A-Z*[A-Z0-9]`, which represents UPPER_SNAKE_CASE.
+                  "type": "A String", # Output only. The issue classification based on responsibility.
+                },
+              },
+              "resultType": "A String", # Output only. The result type of the session/job/execution.
+            },
+            "startTime": "A String", # Output only. The start time of the job.
+            "status": { # The status of a session/job/execution. # Output only. The status of the job.
+              "progressMessages": [ # Output only. Human-readable, detailed descriptions of the session/job/execution's progress. For example: "Provisioning a device", "Starting Test". Each message should contain only one line of text. During the course of execution new data may be appended to the end of progress_messages.
+                "A String",
+              ],
+              "statusType": "A String", # Output only. The status type of the session/job/execution.
+            },
+            "warnings": [ # Output only. Non-fatal warnings collected during the job.
+              { # Non-fatal operational anomaly, lint observation, or execution insight.
+                "summary": { # Describes the summary of an issue (error or warning) with structured details. # Output only. Detailed warning summary.
+                  "message": "A String", # Output only. Human-readable explanation of the issue in English.
+                  "reason": "A String", # Output only. The reason of the issue. This is a constant value that identifies the proximate cause of the issue. This should be at most 63 characters and match a regular expression of `A-Z*[A-Z0-9]`, which represents UPPER_SNAKE_CASE.
+                  "type": "A String", # Output only. The issue classification based on responsibility.
+                },
+              },
+            ],
+          },
+        ],
+        "result": { # The result of a session/job/execution. # Output only. The result of the session.
+          "cause": { # Describes the cause of the non-passed result occurred during the execution. # Output only. Detailed result cause diagnostics. Set if type is not PASSED.
+            "summary": { # Describes the summary of an issue (error or warning) with structured details. # Output only. Structured cause detail.
+              "message": "A String", # Output only. Human-readable explanation of the issue in English.
+              "reason": "A String", # Output only. The reason of the issue. This is a constant value that identifies the proximate cause of the issue. This should be at most 63 characters and match a regular expression of `A-Z*[A-Z0-9]`, which represents UPPER_SNAKE_CASE.
+              "type": "A String", # Output only. The issue classification based on responsibility.
+            },
+          },
+          "resultType": "A String", # Output only. The result type of the session/job/execution.
+        },
+        "startTime": "A String", # Output only. The start time of the session.
+        "status": { # The status of a session/job/execution. # Output only. The status of the session.
+          "progressMessages": [ # Output only. Human-readable, detailed descriptions of the session/job/execution's progress. For example: "Provisioning a device", "Starting Test". Each message should contain only one line of text. During the course of execution new data may be appended to the end of progress_messages.
+            "A String",
+          ],
+          "statusType": "A String", # Output only. The status type of the session/job/execution.
+        },
+      },
+    },
+  ],
+}
+
+
cancel(name, body=None, x__xgafv=None) 
Cancels an in-progress automation session. This RPC returns immediately and cancellation proceeds asynchronously. If the session is already finished, this RPC will have no effect.
diff --git a/googleapiclient/discovery_cache/documents/devicerun.v1alpha.json b/googleapiclient/discovery_cache/documents/devicerun.v1alpha.json
index 15548e3d86..db04abb2d4 100644
--- a/googleapiclient/discovery_cache/documents/devicerun.v1alpha.json
+++ b/googleapiclient/discovery_cache/documents/devicerun.v1alpha.json
@@ -383,6 +383,37 @@
 },
 "sessions": {
 "methods": {
+"batchGet": {
+"description": "Retrieves multiple automation sessions in a single batch request. Sessions are returned in the same order as the `names` in the request. If any of the requested sessions does not exist, the whole request fails with `NOT_FOUND` and no sessions are returned. When calling this method over HTTP/REST with a large number of `names`, the request URL may exceed the maximum URL length (about 16 KB) and be rejected. In that case, send a `POST` request to the same URL with the `X-HTTP-Method-Override: GET` header and pass the request parameters in a JSON (`application/json`) or form-encoded (`application/x-www-form-urlencoded`) body. See https://cloud.google.com/apis/docs/http#long_request_urls.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/sessions:batchGet",
+"httpMethod": "GET",
+"id": "devicerun.projects.locations.sessions.batchGet",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"names": {
+"description": "Required. The names of the sessions to retrieve. A maximum of 500 sessions can be retrieved in a batch. Format: `projects/{project}/locations/{location}/sessions/{session}`.",
+"location": "query",
+"repeated": true,
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent resource shared by all sessions being retrieved. Format: `projects/{project}/locations/{location}`. The `parent` field in the `BatchGetSessionsRequest` message must match the `parent` of all `Session` resource names in `names`.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+parent}/sessions:batchGet",
+"response": {
+"$ref": "BatchGetSessionsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
 "cancel": {
 "description": "Cancels an in-progress automation session. This RPC returns immediately and cancellation proceeds asynchronously. If the session is already finished, this RPC will have no effect.",
 "flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/sessions/{sessionsId}:cancel",
@@ -657,7 +688,7 @@
 }
 }
 },
-"revision": "20261001",
+"revision": "20261006",
 "rootUrl": "https://devicerun.googleapis.com/",
 "schemas": {
 "AllocationConfig": {
@@ -949,6 +980,20 @@
 },
 "type": "object"
 },
+"BatchGetSessionsResponse": {
+"description": "Response including the requested sessions.",
+"id": "BatchGetSessionsResponse",
+"properties": {
+"sessions": {
+"description": "The requested sessions, in the same order as the `names` in the request.",
+"items": {
+"$ref": "Session"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "CancelSessionRequest": {
 "description": "Request to cancel a session.",
 "id": "CancelSessionRequest",

From 15949492b2d75197fb8fb4fe27265611a995a978 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:44 +0000
Subject: [PATCH 13/32] feat(discoveryengine): update the api

#### discoveryengine:v1

The following keys were added:
- schemas.GoogleCloudDiscoveryengineV1FeedbackConversationInfo.properties.taskName.type (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1WidgetConfigUiSettingsModelConfigInfo.properties.autoModelId (Total Keys: 2)

The following keys were changed:
- endpoints (Total Keys: 1)

#### discoveryengine:v1alpha

The following keys were added:
- resources.projects.resources.locations.resources.collections.resources.engines.resources.assistants.resources.agents.resources.toolCalls.resources.operations.methods.get (Total Keys: 11)
- schemas.GoogleCloudDiscoveryengineV1alphaFeedbackConversationInfo.properties.taskName.type (Total Keys: 1)
- schemas.GoogleCloudDiscoveryengineV1alphaWidgetConfigUiSettingsModelConfigInfo.properties.autoModelId (Total Keys: 2)

The following keys were changed:
- endpoints (Total Keys: 1)

#### discoveryengine:v1beta

The following keys were added:
- schemas.GoogleCloudDiscoveryengineV1betaFeedbackConversationInfo.properties.taskName.type (Total Keys: 1)

The following keys were changed:
- endpoints (Total Keys: 1)
---
 ...collections.dataStores.servingConfigs.html |   1 +
 ...ons.collections.dataStores.userEvents.html |   3 +
 ....collections.dataStores.widgetConfigs.html |   3 +
 ...ns.collections.engines.servingConfigs.html |   1 +
 ...ons.collections.engines.widgetConfigs.html |   3 +
 ...s.locations.dataStores.servingConfigs.html |   1 +
 ...jects.locations.dataStores.userEvents.html |   3 +
 ...ts.locations.dataStores.widgetConfigs.html |   3 +
 ...gine_v1.projects.locations.userEvents.html |   3 +
 ...collections.dataStores.servingConfigs.html |   1 +
 ...ons.collections.dataStores.userEvents.html |   3 +
 ....collections.dataStores.widgetConfigs.html |   3 +
 ...collections.engines.assistants.agents.html |   5 +
 ...s.engines.assistants.agents.toolCalls.html |  91 +++++++++++++
 ...ssistants.agents.toolCalls.operations.html | 124 ++++++++++++++++++
 ...ns.collections.engines.servingConfigs.html |   1 +
 ...ons.collections.engines.widgetConfigs.html |   3 +
 ...s.locations.dataStores.servingConfigs.html |   1 +
 ...jects.locations.dataStores.userEvents.html |   3 +
 ...ts.locations.dataStores.widgetConfigs.html |   3 +
 ...v1alpha.projects.locations.userEvents.html |   3 +
 ...collections.dataStores.servingConfigs.html |   1 +
 ...ons.collections.dataStores.userEvents.html |   3 +
 ...ns.collections.engines.servingConfigs.html |   1 +
 ...s.locations.dataStores.servingConfigs.html |   1 +
 ...jects.locations.dataStores.userEvents.html |   3 +
 ..._v1beta.projects.locations.userEvents.html |   3 +
 .../documents/discoveryengine.v1.json         |  46 ++-----
 .../documents/discoveryengine.v1alpha.json    |  81 +++++++-----
 .../documents/discoveryengine.v1beta.json     |  41 +-----
 30 files changed, 334 insertions(+), 108 deletions(-)
 create mode 100644 docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.toolCalls.html
 create mode 100644 docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.toolCalls.operations.html

diff --git a/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.servingConfigs.html
index fb22b0f9a9..d33db79dc1 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.servingConfigs.html
@@ -1454,6 +1454,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.userEvents.html b/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.userEvents.html
index 1741f3eda6..e25b9cf203 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.userEvents.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.userEvents.html
@@ -204,6 +204,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -431,6 +432,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -583,6 +585,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.widgetConfigs.html b/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.widgetConfigs.html
index 11ea95e992..ad243504c1 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.widgetConfigs.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.collections.dataStores.widgetConfigs.html
@@ -354,6 +354,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -643,6 +644,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -931,6 +933,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
diff --git a/docs/dyn/discoveryengine_v1.projects.locations.collections.engines.servingConfigs.html b/docs/dyn/discoveryengine_v1.projects.locations.collections.engines.servingConfigs.html
index f09591cdaa..356ed95ee4 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.collections.engines.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.collections.engines.servingConfigs.html
@@ -1454,6 +1454,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1.projects.locations.collections.engines.widgetConfigs.html b/docs/dyn/discoveryengine_v1.projects.locations.collections.engines.widgetConfigs.html
index 7948576dd7..92fd7411dd 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.collections.engines.widgetConfigs.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.collections.engines.widgetConfigs.html
@@ -354,6 +354,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -643,6 +644,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -931,6 +933,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
diff --git a/docs/dyn/discoveryengine_v1.projects.locations.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1.projects.locations.dataStores.servingConfigs.html
index 12aac679b8..1407eb2f6e 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.dataStores.servingConfigs.html
@@ -1454,6 +1454,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1.projects.locations.dataStores.userEvents.html b/docs/dyn/discoveryengine_v1.projects.locations.dataStores.userEvents.html
index 6e1b91943c..2f2aed06f4 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.dataStores.userEvents.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.dataStores.userEvents.html
@@ -204,6 +204,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -431,6 +432,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -583,6 +585,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1.projects.locations.dataStores.widgetConfigs.html b/docs/dyn/discoveryengine_v1.projects.locations.dataStores.widgetConfigs.html
index 0b3a30b8cb..60114178d0 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.dataStores.widgetConfigs.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.dataStores.widgetConfigs.html
@@ -354,6 +354,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -643,6 +644,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -931,6 +933,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
diff --git a/docs/dyn/discoveryengine_v1.projects.locations.userEvents.html b/docs/dyn/discoveryengine_v1.projects.locations.userEvents.html
index 5a30217571..39ddb5c1e3 100644
--- a/docs/dyn/discoveryengine_v1.projects.locations.userEvents.html
+++ b/docs/dyn/discoveryengine_v1.projects.locations.userEvents.html
@@ -201,6 +201,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -385,6 +386,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -537,6 +539,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html
index 1682049ac4..ec00527f70 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.servingConfigs.html
@@ -1714,6 +1714,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.userEvents.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.userEvents.html
index 678acf41b5..7f4f9b425f 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.userEvents.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.userEvents.html
@@ -241,6 +241,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -505,6 +506,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -694,6 +696,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.widgetConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.widgetConfigs.html
index b9f620ab18..56a7d504e1 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.widgetConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.dataStores.widgetConfigs.html
@@ -359,6 +359,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -653,6 +654,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -946,6 +948,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.html
index b7a136cb07..87e7cfd28b 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.html
@@ -84,6 +84,11 @@ 
Instance Methods

 

 
Returns the operations Resource.

 
+

+  toolCalls()
+

+
Returns the toolCalls Resource.

+
 

   close()

 
Close httplib2 connections.

diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.toolCalls.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.toolCalls.html
new file mode 100644
index 0000000000..f3c39b2b05
--- /dev/null
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.toolCalls.html
@@ -0,0 +1,91 @@
+
+
+
+
Discovery Engine API . projects . locations . collections . engines . assistants . agents . toolCalls

+
Instance Methods

+

+  operations()
+

+
Returns the operations Resource.

+
+

+  close()

+
Close httplib2 connections.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.toolCalls.operations.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.toolCalls.operations.html
new file mode 100644
index 0000000000..3a1ea5dda3
--- /dev/null
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.assistants.agents.toolCalls.operations.html
@@ -0,0 +1,124 @@
+
+
+
+
Discovery Engine API . projects . locations . collections . engines . assistants . agents . toolCalls . operations

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    get(name, x__xgafv=None)
+  
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
+
+Args:
+  name: string, The name of the operation resource. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.servingConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.servingConfigs.html
index 99027036cd..2651c81505 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.servingConfigs.html
@@ -1714,6 +1714,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.widgetConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.widgetConfigs.html
index e31370f965..94b301326a 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.widgetConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.collections.engines.widgetConfigs.html
@@ -359,6 +359,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -653,6 +654,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -946,6 +948,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.servingConfigs.html
index 94dc72e55f..c6745db009 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.servingConfigs.html
@@ -1714,6 +1714,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.userEvents.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.userEvents.html
index 385e610325..c4ce56645d 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.userEvents.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.userEvents.html
@@ -241,6 +241,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -505,6 +506,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -694,6 +696,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.widgetConfigs.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.widgetConfigs.html
index 30ed0180cc..f10fb4fe36 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.widgetConfigs.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.dataStores.widgetConfigs.html
@@ -359,6 +359,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -653,6 +654,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
@@ -946,6 +948,7 @@ 
Method Details

     "googleDrivePickerEnabled": True or False, # Output only. Whether the Google Drive file picker is available to end-users. Declared `optional` for the same field-presence reason as `onedrive_picker_enabled` above.
     "interactionType": "A String", # Describes widget (or web app) interaction type
     "modelConfigInfo": { # The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization. # Output only. The resolved, server-side view of model selector configuration. Holds both the ordered list of models that should appear in the model selector dropdown and the model that should be selected by default. Clients should render this directly without applying their own filtering, ordering, or localization. The legacy `model_configs` map above is retained for backward compatibility with clients that have not yet migrated to consuming this field.
+      "autoModelId": "A String", # Output only. The `model_id` a client must send when the end-user picks the "Auto" entry (the empty `model_id`). Populated only for surfaces known to have no true "Auto" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where "Auto" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.
       "defaultModelId": "A String", # Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.
       "resolvedModels": [ # Output only. The list of models that are available to the end-user in the model selector, in the order in which they should be displayed.
         { # A single model that is resolved to be available to the end-user in the model selector, with all of its localized display metadata.
diff --git a/docs/dyn/discoveryengine_v1alpha.projects.locations.userEvents.html b/docs/dyn/discoveryengine_v1alpha.projects.locations.userEvents.html
index a59ea3593f..7174a0a254 100644
--- a/docs/dyn/discoveryengine_v1alpha.projects.locations.userEvents.html
+++ b/docs/dyn/discoveryengine_v1alpha.projects.locations.userEvents.html
@@ -238,6 +238,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -459,6 +460,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -648,6 +650,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.servingConfigs.html
index b2cbd62e31..679380e9c2 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.servingConfigs.html
@@ -1551,6 +1551,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.userEvents.html b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.userEvents.html
index 0e2a8ad70a..30752db899 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.userEvents.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.dataStores.userEvents.html
@@ -204,6 +204,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -431,6 +432,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -583,6 +585,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.servingConfigs.html b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.servingConfigs.html
index e996f8b2ff..93339632c8 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.collections.engines.servingConfigs.html
@@ -1551,6 +1551,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.servingConfigs.html b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.servingConfigs.html
index 769b1b38e3..ef12908aaf 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.servingConfigs.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.servingConfigs.html
@@ -1551,6 +1551,7 @@ 
Method Details

         },
         "questionIndex": 42, # The index of the user input within the conversation messages.
         "session": "A String", # Name of the newly generated or continued session.
+        "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
       },
       "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
       "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.userEvents.html b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.userEvents.html
index fc8db23504..2ffe557538 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.userEvents.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.dataStores.userEvents.html
@@ -204,6 +204,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -431,6 +432,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -583,6 +585,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/docs/dyn/discoveryengine_v1beta.projects.locations.userEvents.html b/docs/dyn/discoveryengine_v1beta.projects.locations.userEvents.html
index 9834b60b14..b858947e56 100644
--- a/docs/dyn/discoveryengine_v1beta.projects.locations.userEvents.html
+++ b/docs/dyn/discoveryengine_v1beta.projects.locations.userEvents.html
@@ -201,6 +201,7 @@ 
Method Details

             },
             "questionIndex": 42, # The index of the user input within the conversation messages.
             "session": "A String", # Name of the newly generated or continued session.
+            "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
           },
           "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
           "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -385,6 +386,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
@@ -537,6 +539,7 @@ 
Method Details

       },
       "questionIndex": 42, # The index of the user input within the conversation messages.
       "session": "A String", # Name of the newly generated or continued session.
+      "taskName": "A String", # Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}
     },
     "dataTermsAccepted": True or False, # Optional. Whether the customer accepted data use terms.
     "feedbackSource": "A String", # Optional. The UI component the user feedback comes from, which could be GOOGLE_CONSOLE, GOOGLE_WIDGET, GOOGLE_WEBAPP.
diff --git a/googleapiclient/discovery_cache/documents/discoveryengine.v1.json b/googleapiclient/discovery_cache/documents/discoveryengine.v1.json
index 19d19a702f..965da06794 100644
--- a/googleapiclient/discovery_cache/documents/discoveryengine.v1.json
+++ b/googleapiclient/discovery_cache/documents/discoveryengine.v1.json
@@ -30,43 +30,8 @@
 "endpoints": [
 {
 "description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.asia-northeast1.rep.googleapis.com/",
-"location": "asia-northeast1"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.europe-west2.rep.googleapis.com/",
-"location": "europe-west2"
-},
-{
-"description": "Regional Endpoint",
 "endpointUrl": "https://discoveryengine.us.rep.googleapis.com/",
 "location": "us"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.eu.rep.googleapis.com/",
-"location": "eu"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.in.rep.googleapis.com/",
-"location": "in"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.asia-southeast1.rep.googleapis.com/",
-"location": "asia-southeast1"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.europe-west3.rep.googleapis.com/",
-"location": "europe-west3"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.ca.rep.googleapis.com/",
-"location": "ca"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -9937,7 +9902,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261004",
 "rootUrl": "https://discoveryengine.googleapis.com/",
 "schemas": {
 "A2aV1APIKeySecurityScheme": {
@@ -17563,6 +17528,10 @@
 "session": {
 "description": "Name of the newly generated or continued session.",
 "type": "string"
+},
+"taskName": {
+"description": "Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}",
+"type": "string"
 }
 },
 "type": "object"
@@ -23587,6 +23556,11 @@ false
 "description": "The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization.",
 "id": "GoogleCloudDiscoveryengineV1WidgetConfigUiSettingsModelConfigInfo",
 "properties": {
+"autoModelId": {
+"description": "Output only. The `model_id` a client must send when the end-user picks the \"Auto\" entry (the empty `model_id`). Populated only for surfaces known to have no true \"Auto\" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where \"Auto\" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.",
+"readOnly": true,
+"type": "string"
+},
 "defaultModelId": {
 "description": "Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.",
 "readOnly": true,
diff --git a/googleapiclient/discovery_cache/documents/discoveryengine.v1alpha.json b/googleapiclient/discovery_cache/documents/discoveryengine.v1alpha.json
index b0388dd89c..ef0ee2568a 100644
--- a/googleapiclient/discovery_cache/documents/discoveryengine.v1alpha.json
+++ b/googleapiclient/discovery_cache/documents/discoveryengine.v1alpha.json
@@ -30,43 +30,8 @@
 "endpoints": [
 {
 "description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.asia-northeast1.rep.googleapis.com/",
-"location": "asia-northeast1"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.europe-west2.rep.googleapis.com/",
-"location": "europe-west2"
-},
-{
-"description": "Regional Endpoint",
 "endpointUrl": "https://discoveryengine.us.rep.googleapis.com/",
 "location": "us"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.eu.rep.googleapis.com/",
-"location": "eu"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.in.rep.googleapis.com/",
-"location": "in"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.asia-southeast1.rep.googleapis.com/",
-"location": "asia-southeast1"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.europe-west3.rep.googleapis.com/",
-"location": "europe-west3"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.ca.rep.googleapis.com/",
-"location": "ca"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -6437,6 +6402,41 @@
 ]
 }
 }
+},
+"toolCalls": {
+"resources": {
+"operations": {
+"methods": {
+"get": {
+"description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.",
+"flatPath": "v1alpha/projects/{projectsId}/locations/{locationsId}/collections/{collectionsId}/engines/{enginesId}/assistants/{assistantsId}/agents/{agentsId}/toolCalls/{toolCallsId}/operations/{operationsId}",
+"httpMethod": "GET",
+"id": "discoveryengine.projects.locations.collections.engines.assistants.agents.toolCalls.operations.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "The name of the operation resource.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/collections/[^/]+/engines/[^/]+/assistants/[^/]+/agents/[^/]+/toolCalls/[^/]+/operations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1alpha/{+name}",
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/discoveryengine.readwrite",
+"https://www.googleapis.com/auth/discoveryengine.serving.readwrite"
+]
+}
+}
+}
+}
 }
 }
 },
@@ -13692,7 +13692,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261004",
 "rootUrl": "https://discoveryengine.googleapis.com/",
 "schemas": {
 "GoogleApiDistribution": {
@@ -27223,6 +27223,10 @@
 "session": {
 "description": "Name of the newly generated or continued session.",
 "type": "string"
+},
+"taskName": {
+"description": "Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}",
+"type": "string"
 }
 },
 "type": "object"
@@ -35993,6 +35997,11 @@ false
 "description": "The resolved, server-side view of model selector configuration for the end-user. The backend computes this per-request by applying, in order: Mendel flag evaluation, regional availability rules based on the engine's location, and admin-panel overrides from `model_configs`. The backend is the single source of truth for this configuration; clients should render `resolved_models` directly in the model selector dropdown, in the order provided, without applying their own filtering, ordering, or localization.",
 "id": "GoogleCloudDiscoveryengineV1alphaWidgetConfigUiSettingsModelConfigInfo",
 "properties": {
+"autoModelId": {
+"description": "Output only. The `model_id` a client must send when the end-user picks the \"Auto\" entry (the empty `model_id`). Populated only for surfaces known to have no true \"Auto\" mode, where leaving the model unset would fall back to a platform default rather than a backend-chosen model. Empty on every other surface, where \"Auto\" is resolved server-side, and when none of the surface's ranked models is available. When set, it is always one of the non-empty `model_id`s present in `resolved_models`.",
+"readOnly": true,
+"type": "string"
+},
 "defaultModelId": {
 "description": "Output only. The `model_id` of the model that should be selected by default in the model selector when the end-user has not made an explicit choice. The value is always one of the `model_id`s present in `resolved_models`.",
 "readOnly": true,
diff --git a/googleapiclient/discovery_cache/documents/discoveryengine.v1beta.json b/googleapiclient/discovery_cache/documents/discoveryengine.v1beta.json
index 27bcd7bfd5..9c741581db 100644
--- a/googleapiclient/discovery_cache/documents/discoveryengine.v1beta.json
+++ b/googleapiclient/discovery_cache/documents/discoveryengine.v1beta.json
@@ -30,43 +30,8 @@
 "endpoints": [
 {
 "description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.asia-northeast1.rep.googleapis.com/",
-"location": "asia-northeast1"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.europe-west2.rep.googleapis.com/",
-"location": "europe-west2"
-},
-{
-"description": "Regional Endpoint",
 "endpointUrl": "https://discoveryengine.us.rep.googleapis.com/",
 "location": "us"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.eu.rep.googleapis.com/",
-"location": "eu"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.in.rep.googleapis.com/",
-"location": "in"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.asia-southeast1.rep.googleapis.com/",
-"location": "asia-southeast1"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.europe-west3.rep.googleapis.com/",
-"location": "europe-west3"
-},
-{
-"description": "Regional Endpoint",
-"endpointUrl": "https://discoveryengine.ca.rep.googleapis.com/",
-"location": "ca"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -9680,7 +9645,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261004",
 "rootUrl": "https://discoveryengine.googleapis.com/",
 "schemas": {
 "GoogleApiDistribution": {
@@ -28897,6 +28862,10 @@ false
 "session": {
 "description": "Name of the newly generated or continued session.",
 "type": "string"
+},
+"taskName": {
+"description": "Optional. The full resource name of the Sobi task if the conversation was handled by a long-running agent task. Format: projects/{project}/locations/{location}/tasks/{task_id}",
+"type": "string"
 }
 },
 "type": "object"

From a752408f2ecbe71da8ec71952042d5ad3f63ce33 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:44 +0000
Subject: [PATCH 14/32] feat(displayvideo): update the api

#### displayvideo:v2

The following keys were deleted:
- schemas.LineItem.properties.youtubeAndPartnersSettings.readOnly (Total Keys: 1)

The following keys were added:
- schemas.BiddingStrategy.properties.youtubeAndPartnersBid.$ref (Total Keys: 1)

#### displayvideo:v3

The following keys were deleted:
- schemas.LineItem.properties.youtubeAndPartnersSettings.readOnly (Total Keys: 1)
- schemas.TargetingExpansionConfig.properties.audienceExpansionLevel (Total Keys: 2)
- schemas.TargetingExpansionConfig.properties.audienceExpansionSeedListExcluded (Total Keys: 2)

#### displayvideo:v4

The following keys were deleted:
- schemas.LineItem.properties.youtubeAndPartnersSettings.readOnly (Total Keys: 1)
---
 docs/dyn/displayvideo_v2.advertisers.html     |  18 +-
 ...yvideo_v2.advertisers.insertionOrders.html |  36 ++
 ...displayvideo_v2.advertisers.lineItems.html |  96 +++--
 ...rgetingTypes.assignedTargetingOptions.html |  28 +-
 ...rgetingTypes.assignedTargetingOptions.html |  28 +-
 ...ideo_v2.advertisers.youtubeAdGroupAds.html |  12 +-
 ...yvideo_v2.advertisers.youtubeAdGroups.html |   6 +-
 ...rgetingTypes.assignedTargetingOptions.html |  14 +-
 docs/dyn/displayvideo_v2.partners.html        |  12 +-
 ...rgetingTypes.assignedTargetingOptions.html |  28 +-
 ...eo_v2.targetingTypes.targetingOptions.html |   9 +-
 ...isplayvideo_v3.advertisers.adGroupAds.html |  36 +-
 .../displayvideo_v3.advertisers.adGroups.html |  24 +-
 ...rgetingTypes.assignedTargetingOptions.html |  28 +-
 docs/dyn/displayvideo_v3.advertisers.html     |  18 +-
 ...displayvideo_v3.advertisers.lineItems.html |  68 ++-
 ...rgetingTypes.assignedTargetingOptions.html |  28 +-
 ...rgetingTypes.assignedTargetingOptions.html |  28 +-
 docs/dyn/displayvideo_v3.partners.html        |  12 +-
 ...rgetingTypes.assignedTargetingOptions.html |  28 +-
 ...eo_v3.targetingTypes.targetingOptions.html |   9 +-
 ...isplayvideo_v4.advertisers.adGroupAds.html |  36 +-
 .../displayvideo_v4.advertisers.adGroups.html |  12 +-
 ...rgetingTypes.assignedTargetingOptions.html |  24 +-
 docs/dyn/displayvideo_v4.advertisers.html     |  18 +-
 ...displayvideo_v4.advertisers.lineItems.html |  54 +--
 ...rgetingTypes.assignedTargetingOptions.html |  24 +-
 ...layvideo_v4.advertisers.reachForecast.html |   4 +-
 ...rgetingTypes.assignedTargetingOptions.html |  24 +-
 docs/dyn/displayvideo_v4.partners.html        |  12 +-
 ...rgetingTypes.assignedTargetingOptions.html |  24 +-
 ...eo_v4.targetingTypes.targetingOptions.html |   6 +-
 .../documents/displayvideo.v2.json            | 369 ++++++----------
 .../documents/displayvideo.v3.json            | 393 ++++++------------
 .../documents/displayvideo.v4.json            | 369 ++++++----------
 35 files changed, 806 insertions(+), 1129 deletions(-)

diff --git a/docs/dyn/displayvideo_v2.advertisers.html b/docs/dyn/displayvideo_v2.advertisers.html
index 66ecfe5ab1..d4f9cb96df 100644
--- a/docs/dyn/displayvideo_v2.advertisers.html
+++ b/docs/dyn/displayvideo_v2.advertisers.html
@@ -485,7 +485,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -506,7 +506,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -565,7 +565,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -798,7 +798,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -819,7 +819,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -878,7 +878,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1266,7 +1266,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1287,7 +1287,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1346,7 +1346,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v2.advertisers.insertionOrders.html b/docs/dyn/displayvideo_v2.advertisers.insertionOrders.html
index c1ad894f77..42ea287b96 100644
--- a/docs/dyn/displayvideo_v2.advertisers.insertionOrders.html
+++ b/docs/dyn/displayvideo_v2.advertisers.insertionOrders.html
@@ -134,6 +134,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "billableOutcome": "A String", # Immutable. The billable outcome of the insertion order. Outcome based buying is deprecated. `BILLABLE_OUTCOME_PAY_PER_IMPRESSION` is the only valid value.
   "budget": { # Settings that control how insertion order budget is allocated. # Required. The budget allocation settings of the insertion order.
@@ -233,6 +239,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "billableOutcome": "A String", # Immutable. The billable outcome of the insertion order. Outcome based buying is deprecated. `BILLABLE_OUTCOME_PAY_PER_IMPRESSION` is the only valid value.
   "budget": { # Settings that control how insertion order budget is allocated. # Required. The budget allocation settings of the insertion order.
@@ -359,6 +371,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "billableOutcome": "A String", # Immutable. The billable outcome of the insertion order. Outcome based buying is deprecated. `BILLABLE_OUTCOME_PAY_PER_IMPRESSION` is the only valid value.
   "budget": { # Settings that control how insertion order budget is allocated. # Required. The budget allocation settings of the insertion order.
@@ -471,6 +489,12 @@ 
Method Details

           "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
           "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
         },
+        "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+          "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+          "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+          "type": "A String", # The type of the bidding strategy.
+          "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+        },
       },
       "billableOutcome": "A String", # Immutable. The billable outcome of the insertion order. Outcome based buying is deprecated. `BILLABLE_OUTCOME_PAY_PER_IMPRESSION` is the only valid value.
       "budget": { # Settings that control how insertion order budget is allocated. # Required. The budget allocation settings of the insertion order.
@@ -590,6 +614,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "billableOutcome": "A String", # Immutable. The billable outcome of the insertion order. Outcome based buying is deprecated. `BILLABLE_OUTCOME_PAY_PER_IMPRESSION` is the only valid value.
   "budget": { # Settings that control how insertion order budget is allocated. # Required. The budget allocation settings of the insertion order.
@@ -690,6 +720,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "billableOutcome": "A String", # Immutable. The billable outcome of the insertion order. Outcome based buying is deprecated. `BILLABLE_OUTCOME_PAY_PER_IMPRESSION` is the only valid value.
   "budget": { # Settings that control how insertion order budget is allocated. # Required. The budget allocation settings of the insertion order.
diff --git a/docs/dyn/displayvideo_v2.advertisers.lineItems.html b/docs/dyn/displayvideo_v2.advertisers.lineItems.html
index 99b445aff7..28f3893628 100644
--- a/docs/dyn/displayvideo_v2.advertisers.lineItems.html
+++ b/docs/dyn/displayvideo_v2.advertisers.lineItems.html
@@ -245,7 +245,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -266,7 +266,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -325,7 +325,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -602,7 +602,7 @@ 
Method Details

           "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
         },
         "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
         },
         "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
           "environment": "A String", # Required. The serving environment.
@@ -623,7 +623,7 @@ 
Method Details

           "householdIncome": "A String", # Required. The household income of the audience.
         },
         "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
           "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
         },
         "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -682,7 +682,7 @@ 
Method Details

           "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
         },
         "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-          "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+          "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
         },
         "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
           "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -833,6 +833,12 @@ 
Method Details

         "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
         "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
       },
+      "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+        "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+        "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+        "type": "A String", # The type of the bidding strategy.
+        "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+      },
     },
     "budget": { # Settings that control how budget is allocated. # Required. The budget allocation setting of the line item.
       "budgetAllocationType": "A String", # Required. The type of the budget allocation. `LINE_ITEM_BUDGET_ALLOCATION_TYPE_AUTOMATIC` is only applicable when automatic budget allocation is enabled for the parent insertion order. This field must be set to `LINE_ITEM_BUDGET_ALLOCATION_TYPE_FIXED` for Demand Gen line items.
@@ -954,7 +960,7 @@ 
Method Details

     "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
       "A String",
     ],
-    "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+    "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
       "biddingStrategy": { # Settings that control the bid strategy for YouTube and Partners resources. # Required. The bidding strategy of the YouTube and Partners line item.
         "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
         "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
@@ -976,8 +982,8 @@ 
Method Details

       ],
       "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
         "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-        "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-        "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+        "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+        "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
       },
       "thirdPartyMeasurementSettings": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement settings of the line item.
         "brandLiftVendorConfigs": [ # The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR`
@@ -1104,6 +1110,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "budget": { # Settings that control how budget is allocated. # Required. The budget allocation setting of the line item.
     "budgetAllocationType": "A String", # Required. The type of the budget allocation. `LINE_ITEM_BUDGET_ALLOCATION_TYPE_AUTOMATIC` is only applicable when automatic budget allocation is enabled for the parent insertion order. This field must be set to `LINE_ITEM_BUDGET_ALLOCATION_TYPE_FIXED` for Demand Gen line items.
@@ -1225,7 +1237,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "biddingStrategy": { # Settings that control the bid strategy for YouTube and Partners resources. # Required. The bidding strategy of the YouTube and Partners line item.
       "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
       "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
@@ -1247,8 +1259,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementSettings": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement settings of the line item.
       "brandLiftVendorConfigs": [ # The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR`
@@ -1335,6 +1347,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "budget": { # Settings that control how budget is allocated. # Required. The budget allocation setting of the line item.
     "budgetAllocationType": "A String", # Required. The type of the budget allocation. `LINE_ITEM_BUDGET_ALLOCATION_TYPE_AUTOMATIC` is only applicable when automatic budget allocation is enabled for the parent insertion order. This field must be set to `LINE_ITEM_BUDGET_ALLOCATION_TYPE_FIXED` for Demand Gen line items.
@@ -1456,7 +1474,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "biddingStrategy": { # Settings that control the bid strategy for YouTube and Partners resources. # Required. The bidding strategy of the YouTube and Partners line item.
       "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
       "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
@@ -1478,8 +1496,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementSettings": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement settings of the line item.
       "brandLiftVendorConfigs": [ # The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR`
@@ -1621,6 +1639,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "budget": { # Settings that control how budget is allocated. # Required. The budget allocation setting of the line item.
     "budgetAllocationType": "A String", # Required. The type of the budget allocation. `LINE_ITEM_BUDGET_ALLOCATION_TYPE_AUTOMATIC` is only applicable when automatic budget allocation is enabled for the parent insertion order. This field must be set to `LINE_ITEM_BUDGET_ALLOCATION_TYPE_FIXED` for Demand Gen line items.
@@ -1742,7 +1766,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "biddingStrategy": { # Settings that control the bid strategy for YouTube and Partners resources. # Required. The bidding strategy of the YouTube and Partners line item.
       "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
       "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
@@ -1764,8 +1788,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementSettings": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement settings of the line item.
       "brandLiftVendorConfigs": [ # The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR`
@@ -1865,6 +1889,12 @@ 
Method Details

           "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
           "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
         },
+        "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+          "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+          "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+          "type": "A String", # The type of the bidding strategy.
+          "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+        },
       },
       "budget": { # Settings that control how budget is allocated. # Required. The budget allocation setting of the line item.
         "budgetAllocationType": "A String", # Required. The type of the budget allocation. `LINE_ITEM_BUDGET_ALLOCATION_TYPE_AUTOMATIC` is only applicable when automatic budget allocation is enabled for the parent insertion order. This field must be set to `LINE_ITEM_BUDGET_ALLOCATION_TYPE_FIXED` for Demand Gen line items.
@@ -1986,7 +2016,7 @@ 
Method Details

       "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
         "A String",
       ],
-      "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+      "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
         "biddingStrategy": { # Settings that control the bid strategy for YouTube and Partners resources. # Required. The bidding strategy of the YouTube and Partners line item.
           "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
           "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
@@ -2008,8 +2038,8 @@ 
Method Details

         ],
         "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
           "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-          "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-          "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+          "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+          "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
         },
         "thirdPartyMeasurementSettings": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement settings of the line item.
           "brandLiftVendorConfigs": [ # The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR`
@@ -2116,6 +2146,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "budget": { # Settings that control how budget is allocated. # Required. The budget allocation setting of the line item.
     "budgetAllocationType": "A String", # Required. The type of the budget allocation. `LINE_ITEM_BUDGET_ALLOCATION_TYPE_AUTOMATIC` is only applicable when automatic budget allocation is enabled for the parent insertion order. This field must be set to `LINE_ITEM_BUDGET_ALLOCATION_TYPE_FIXED` for Demand Gen line items.
@@ -2237,7 +2273,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "biddingStrategy": { # Settings that control the bid strategy for YouTube and Partners resources. # Required. The bidding strategy of the YouTube and Partners line item.
       "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
       "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
@@ -2259,8 +2295,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementSettings": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement settings of the line item.
       "brandLiftVendorConfigs": [ # The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR`
@@ -2348,6 +2384,12 @@ 
Method Details

       "performanceGoalAmountMicros": "A String", # Required. The performance goal the bidding strategy will attempt to meet or beat, in micros of the advertiser's currency or in micro of the ROAS (Return On Advertising Spend) value which is also based on advertiser's currency. Must be greater than or equal to a billable unit of the given currency and smaller or equal to upper bounds. Each performance_goal_type has its upper bound: * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA`, upper bound is 10000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, upper bound is 1000.00 USD. * when performance_goal_type is `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`, upper bound is 1000.00 and lower bound is 0.01. Example: If set to `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM`, the bid price will be based on the probability that each available impression will be viewable. For example, if viewable CPM target is $2 and an impression is 40% likely to be viewable, the bid price will be $0.80 CPM (40% of $2). For example, 1500000 represents 1.5 standard units of the currency or ROAS value.
       "performanceGoalType": "A String", # Required. The type of the performance goal that the bidding strategy will try to meet or beat. For line item level usage, the value must be one of: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CPC` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CUSTOM_ALGO`.
     },
+    "youtubeAndPartnersBid": { # Settings that control the bid strategy for YouTube and Partners resources. # A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity.
+      "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
+      "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
+      "type": "A String", # The type of the bidding strategy.
+      "value": "A String", # The value used by the bidding strategy. When the bidding strategy is assigned at the line item level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` When the bidding strategy is assigned at the ad group level, this field is only applicable for the following strategy types: * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_MANUAL_CPV` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPA` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_RESERVE_CPM` * `YOUTUBE_AND_PARTNERS_BIDDING_STRATEGY_TYPE_TARGET_ROAS` If not using an applicable strategy, the value of this field will be 0.
+    },
   },
   "budget": { # Settings that control how budget is allocated. # Required. The budget allocation setting of the line item.
     "budgetAllocationType": "A String", # Required. The type of the budget allocation. `LINE_ITEM_BUDGET_ALLOCATION_TYPE_AUTOMATIC` is only applicable when automatic budget allocation is enabled for the parent insertion order. This field must be set to `LINE_ITEM_BUDGET_ALLOCATION_TYPE_FIXED` for Demand Gen line items.
@@ -2469,7 +2511,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "biddingStrategy": { # Settings that control the bid strategy for YouTube and Partners resources. # Required. The bidding strategy of the YouTube and Partners line item.
       "adGroupEffectiveTargetCpaSource": "A String", # Output only. Source of the effective target CPA value for ad group.
       "adGroupEffectiveTargetCpaValue": "A String", # Output only. The effective target CPA for ad group, in micros of advertiser's currency.
@@ -2491,8 +2533,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementSettings": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement settings of the line item.
       "brandLiftVendorConfigs": [ # The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR`
diff --git a/docs/dyn/displayvideo_v2.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v2.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
index 01db811888..83b4d36a35 100644
--- a/docs/dyn/displayvideo_v2.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v2.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
@@ -138,7 +138,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -276,7 +275,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -297,7 +296,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -356,7 +355,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -574,7 +573,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -595,7 +594,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -654,7 +653,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -789,7 +788,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -861,7 +859,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1005,7 +1002,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1026,7 +1023,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1085,7 +1082,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1220,7 +1217,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1369,7 +1365,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1390,7 +1386,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1449,7 +1445,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v2.advertisers.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v2.advertisers.targetingTypes.assignedTargetingOptions.html
index e9eebd1ca7..7674b681f6 100644
--- a/docs/dyn/displayvideo_v2.advertisers.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v2.advertisers.targetingTypes.assignedTargetingOptions.html
@@ -137,7 +137,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -275,7 +274,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -296,7 +295,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -355,7 +354,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -573,7 +572,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -594,7 +593,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -653,7 +652,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -787,7 +786,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -858,7 +856,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1002,7 +999,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1023,7 +1020,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1082,7 +1079,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1216,7 +1213,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1365,7 +1361,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1386,7 +1382,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1445,7 +1441,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroupAds.html b/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroupAds.html
index e6f58c14ae..d1528f6935 100644
--- a/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroupAds.html
+++ b/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroupAds.html
@@ -143,7 +143,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -171,7 +171,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -221,7 +221,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -342,7 +342,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -370,7 +370,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -420,7 +420,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
diff --git a/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroups.html b/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroups.html
index 65539a74ee..76ccd2a3c1 100644
--- a/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroups.html
+++ b/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroups.html
@@ -237,7 +237,7 @@ 
Method Details

           "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
         },
         "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
         },
         "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
           "environment": "A String", # Required. The serving environment.
@@ -258,7 +258,7 @@ 
Method Details

           "householdIncome": "A String", # Required. The household income of the audience.
         },
         "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
           "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
         },
         "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -317,7 +317,7 @@ 
Method Details

           "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
         },
         "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-          "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+          "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
         },
         "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
           "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroups.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroups.targetingTypes.assignedTargetingOptions.html
index 16865ce4f7..383468d329 100644
--- a/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroups.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v2.advertisers.youtubeAdGroups.targetingTypes.assignedTargetingOptions.html
@@ -132,7 +132,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -276,7 +275,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -297,7 +296,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -356,7 +355,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -491,7 +490,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -640,7 +638,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -661,7 +659,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -720,7 +718,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v2.partners.html b/docs/dyn/displayvideo_v2.partners.html
index 48b7640da2..4cae5cecd1 100644
--- a/docs/dyn/displayvideo_v2.partners.html
+++ b/docs/dyn/displayvideo_v2.partners.html
@@ -234,7 +234,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -255,7 +255,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -314,7 +314,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -547,7 +547,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -568,7 +568,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -627,7 +627,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v2.partners.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v2.partners.targetingTypes.assignedTargetingOptions.html
index ab26676d6d..6e6a199e0a 100644
--- a/docs/dyn/displayvideo_v2.partners.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v2.partners.targetingTypes.assignedTargetingOptions.html
@@ -137,7 +137,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -275,7 +274,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -296,7 +295,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -355,7 +354,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -573,7 +572,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -594,7 +593,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -653,7 +652,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -787,7 +786,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -858,7 +856,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1002,7 +999,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1023,7 +1020,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1082,7 +1079,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1216,7 +1213,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1365,7 +1361,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1386,7 +1382,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1445,7 +1441,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v2.targetingTypes.targetingOptions.html b/docs/dyn/displayvideo_v2.targetingTypes.targetingOptions.html
index a88a13171d..9203dc557d 100644
--- a/docs/dyn/displayvideo_v2.targetingTypes.targetingOptions.html
+++ b/docs/dyn/displayvideo_v2.targetingTypes.targetingOptions.html
@@ -136,7 +136,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -258,7 +257,7 @@ 
Method Details

     "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
   },
   "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-    "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+    "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
   },
   "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
     "displayName": "A String", # Output only. The display name of the sub-exchange.
@@ -315,7 +314,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -443,7 +441,7 @@ 
Method Details

         "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
       },
       "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-        "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+        "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
       },
       "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
         "displayName": "A String", # Output only. The display name of the sub-exchange.
@@ -516,7 +514,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -658,7 +655,7 @@ 
Method Details

         "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
       },
       "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-        "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+        "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
       },
       "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
         "displayName": "A String", # Output only. The display name of the sub-exchange.
diff --git a/docs/dyn/displayvideo_v3.advertisers.adGroupAds.html b/docs/dyn/displayvideo_v3.advertisers.adGroupAds.html
index 3e0ca785c3..67947b9c22 100644
--- a/docs/dyn/displayvideo_v3.advertisers.adGroupAds.html
+++ b/docs/dyn/displayvideo_v3.advertisers.adGroupAds.html
@@ -279,7 +279,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -502,7 +502,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -552,7 +552,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -792,7 +792,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1015,7 +1015,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1065,7 +1065,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1332,7 +1332,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1555,7 +1555,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1605,7 +1605,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1858,7 +1858,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2081,7 +2081,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2131,7 +2131,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2391,7 +2391,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2614,7 +2614,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2664,7 +2664,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2905,7 +2905,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -3128,7 +3128,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -3178,7 +3178,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
diff --git a/docs/dyn/displayvideo_v3.advertisers.adGroups.html b/docs/dyn/displayvideo_v3.advertisers.adGroups.html
index 6a94f42fd3..43d6b86c8d 100644
--- a/docs/dyn/displayvideo_v3.advertisers.adGroups.html
+++ b/docs/dyn/displayvideo_v3.advertisers.adGroups.html
@@ -265,7 +265,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -286,7 +286,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -345,7 +345,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -663,7 +663,7 @@ 
Method Details

           "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
         },
         "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
         },
         "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
           "environment": "A String", # Required. The serving environment.
@@ -684,7 +684,7 @@ 
Method Details

           "householdIncome": "A String", # Required. The household income of the audience.
         },
         "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
           "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
         },
         "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -743,7 +743,7 @@ 
Method Details

           "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
         },
         "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-          "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+          "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
         },
         "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
           "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -952,8 +952,6 @@ 
Method Details

     "productMatchType": "A String", # How products are selected by the product feed.
   },
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # Optional. The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the ad group.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -1029,8 +1027,6 @@ 
Method Details

     "productMatchType": "A String", # How products are selected by the product feed.
   },
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # Optional. The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the ad group.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -1133,8 +1129,6 @@ 
Method Details

     "productMatchType": "A String", # How products are selected by the product feed.
   },
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # Optional. The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the ad group.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -1223,8 +1217,6 @@ 
Method Details

         "productMatchType": "A String", # How products are selected by the product feed.
       },
       "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # Optional. The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the ad group.
-        "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-        "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
         "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
         "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
       },
@@ -1320,8 +1312,6 @@ 
Method Details

     "productMatchType": "A String", # How products are selected by the product feed.
   },
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # Optional. The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the ad group.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -1398,8 +1388,6 @@ 
Method Details

     "productMatchType": "A String", # How products are selected by the product feed.
   },
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # Optional. The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the ad group.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
diff --git a/docs/dyn/displayvideo_v3.advertisers.adGroups.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v3.advertisers.adGroups.targetingTypes.assignedTargetingOptions.html
index bee3a328f7..844e289c24 100644
--- a/docs/dyn/displayvideo_v3.advertisers.adGroups.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v3.advertisers.adGroups.targetingTypes.assignedTargetingOptions.html
@@ -138,7 +138,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -300,7 +299,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -321,7 +320,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -380,7 +379,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -641,7 +640,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -662,7 +661,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -721,7 +720,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -876,7 +875,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -949,7 +947,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1117,7 +1114,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1138,7 +1135,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1197,7 +1194,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1352,7 +1349,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1525,7 +1521,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1546,7 +1542,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1605,7 +1601,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v3.advertisers.html b/docs/dyn/displayvideo_v3.advertisers.html
index 0b11a370da..9839bf0ef6 100644
--- a/docs/dyn/displayvideo_v3.advertisers.html
+++ b/docs/dyn/displayvideo_v3.advertisers.html
@@ -509,7 +509,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -530,7 +530,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -589,7 +589,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -865,7 +865,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -886,7 +886,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -945,7 +945,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1382,7 +1382,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1403,7 +1403,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1462,7 +1462,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v3.advertisers.lineItems.html b/docs/dyn/displayvideo_v3.advertisers.lineItems.html
index 0d2b6ecdac..c17e08a1fd 100644
--- a/docs/dyn/displayvideo_v3.advertisers.lineItems.html
+++ b/docs/dyn/displayvideo_v3.advertisers.lineItems.html
@@ -268,7 +268,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -289,7 +289,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -348,7 +348,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -668,7 +668,7 @@ 
Method Details

           "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
         },
         "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
         },
         "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
           "environment": "A String", # Required. The serving environment.
@@ -689,7 +689,7 @@ 
Method Details

           "householdIncome": "A String", # Required. The household income of the audience.
         },
         "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
           "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
         },
         "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -748,7 +748,7 @@ 
Method Details

           "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
         },
         "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-          "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+          "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
         },
         "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
           "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1038,8 +1038,6 @@ 
Method Details

     },
     "reservationType": "A String", # Output only. The reservation type of the line item.
     "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. This config is only applicable for display, video, or audio line items that use automated bidding and positively target eligible audience lists.
-      "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-      "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
       "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
       "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
     },
@@ -1047,7 +1045,7 @@ 
Method Details

     "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
       "A String",
     ],
-    "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+    "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
       "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
       "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
       "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -1062,8 +1060,8 @@ 
Method Details

       ],
       "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
         "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-        "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-        "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+        "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+        "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
       },
       "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
         "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -1309,8 +1307,6 @@ 
Method Details

   },
   "reservationType": "A String", # Output only. The reservation type of the line item.
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. This config is only applicable for display, video, or audio line items that use automated bidding and positively target eligible audience lists.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -1318,7 +1314,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -1333,8 +1329,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -1540,8 +1536,6 @@ 
Method Details

   },
   "reservationType": "A String", # Output only. The reservation type of the line item.
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. This config is only applicable for display, video, or audio line items that use automated bidding and positively target eligible audience lists.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -1549,7 +1543,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -1564,8 +1558,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -1826,8 +1820,6 @@ 
Method Details

   },
   "reservationType": "A String", # Output only. The reservation type of the line item.
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. This config is only applicable for display, video, or audio line items that use automated bidding and positively target eligible audience lists.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -1835,7 +1827,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -1850,8 +1842,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -2070,8 +2062,6 @@ 
Method Details

       },
       "reservationType": "A String", # Output only. The reservation type of the line item.
       "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. This config is only applicable for display, video, or audio line items that use automated bidding and positively target eligible audience lists.
-        "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-        "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
         "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
         "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
       },
@@ -2079,7 +2069,7 @@ 
Method Details

       "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
         "A String",
       ],
-      "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+      "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
         "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
         "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
         "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -2094,8 +2084,8 @@ 
Method Details

         ],
         "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
           "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-          "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-          "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+          "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+          "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
         },
         "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
           "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -2321,8 +2311,6 @@ 
Method Details

   },
   "reservationType": "A String", # Output only. The reservation type of the line item.
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. This config is only applicable for display, video, or audio line items that use automated bidding and positively target eligible audience lists.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -2330,7 +2318,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -2345,8 +2333,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -2553,8 +2541,6 @@ 
Method Details

   },
   "reservationType": "A String", # Output only. The reservation type of the line item.
   "targetingExpansion": { # Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. # The [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item. This config is only applicable for display, video, or audio line items that use automated bidding and positively target eligible audience lists.
-    "audienceExpansionLevel": "A String", # Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.
-    "audienceExpansionSeedListExcluded": True or False, # Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.
     "enableOptimizedTargeting": True or False, # Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.
     "excludeDemographicExpansion": True or False, # Optional. Whether to exclude demographic expansion for Optimized Targeting. This field can only be set for Demand Gen ad groups.
   },
@@ -2562,7 +2548,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -2577,8 +2563,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
diff --git a/docs/dyn/displayvideo_v3.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v3.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
index e0441cb689..4bf2df7563 100644
--- a/docs/dyn/displayvideo_v3.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v3.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
@@ -138,7 +138,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -300,7 +299,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -321,7 +320,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -380,7 +379,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -641,7 +640,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -662,7 +661,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -721,7 +720,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -876,7 +875,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -949,7 +947,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1117,7 +1114,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1138,7 +1135,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1197,7 +1194,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1352,7 +1349,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1525,7 +1521,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1546,7 +1542,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1605,7 +1601,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v3.advertisers.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v3.advertisers.targetingTypes.assignedTargetingOptions.html
index bc8fdb0227..74360bbe1f 100644
--- a/docs/dyn/displayvideo_v3.advertisers.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v3.advertisers.targetingTypes.assignedTargetingOptions.html
@@ -137,7 +137,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -299,7 +298,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -320,7 +319,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -379,7 +378,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -640,7 +639,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -661,7 +660,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -720,7 +719,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -874,7 +873,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -946,7 +944,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1114,7 +1111,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1135,7 +1132,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1194,7 +1191,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1348,7 +1345,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1521,7 +1517,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1542,7 +1538,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1601,7 +1597,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v3.partners.html b/docs/dyn/displayvideo_v3.partners.html
index aaf6994170..e1b56e9c68 100644
--- a/docs/dyn/displayvideo_v3.partners.html
+++ b/docs/dyn/displayvideo_v3.partners.html
@@ -257,7 +257,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -278,7 +278,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -337,7 +337,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -613,7 +613,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -634,7 +634,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -693,7 +693,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v3.partners.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v3.partners.targetingTypes.assignedTargetingOptions.html
index 0d01db4831..a4546bfa30 100644
--- a/docs/dyn/displayvideo_v3.partners.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v3.partners.targetingTypes.assignedTargetingOptions.html
@@ -137,7 +137,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -299,7 +298,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -320,7 +319,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -379,7 +378,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -640,7 +639,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -661,7 +660,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -720,7 +719,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -874,7 +873,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -946,7 +944,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1114,7 +1111,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1135,7 +1132,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1194,7 +1191,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1348,7 +1345,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -1521,7 +1517,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1542,7 +1538,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1601,7 +1597,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v3.targetingTypes.targetingOptions.html b/docs/dyn/displayvideo_v3.targetingTypes.targetingOptions.html
index 3b1de218ad..eb40225754 100644
--- a/docs/dyn/displayvideo_v3.targetingTypes.targetingOptions.html
+++ b/docs/dyn/displayvideo_v3.targetingTypes.targetingOptions.html
@@ -136,7 +136,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -262,7 +261,7 @@ 
Method Details

     "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
   },
   "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-    "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+    "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
   },
   "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
     "displayName": "A String", # Output only. The display name of the sub-exchange.
@@ -319,7 +318,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -451,7 +449,7 @@ 
Method Details

         "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
       },
       "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-        "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+        "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
       },
       "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
         "displayName": "A String", # Output only. The display name of the sub-exchange.
@@ -524,7 +522,6 @@ 
Method Details

       TARGETING_TYPE_NEGATIVE_KEYWORD_LIST - Target ads to a specific negative keyword list.
       TARGETING_TYPE_VIEWABILITY - Target ads to a specific viewability (for example, 80% viewable).
       TARGETING_TYPE_CATEGORY - Target ads to a specific content category (for example, arts & entertainment).
-      TARGETING_TYPE_INVENTORY_SOURCE - Purchase impressions from specific deals and auction packages.
       TARGETING_TYPE_LANGUAGE - Target ads to a specific language (for example, English or Japanese).
       TARGETING_TYPE_AUTHORIZED_SELLER_STATUS - Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the "Authorized Direct Sellers and Resellers" option by default.
       TARGETING_TYPE_GEO_REGION - Target ads to a specific regional location (for example, a city or state).
@@ -670,7 +667,7 @@ 
Method Details

         "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
       },
       "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-        "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+        "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
       },
       "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
         "displayName": "A String", # Output only. The display name of the sub-exchange.
diff --git a/docs/dyn/displayvideo_v4.advertisers.adGroupAds.html b/docs/dyn/displayvideo_v4.advertisers.adGroupAds.html
index 698f3a5f20..71562d4cd9 100644
--- a/docs/dyn/displayvideo_v4.advertisers.adGroupAds.html
+++ b/docs/dyn/displayvideo_v4.advertisers.adGroupAds.html
@@ -279,7 +279,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -502,7 +502,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -552,7 +552,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -792,7 +792,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1015,7 +1015,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1065,7 +1065,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1332,7 +1332,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1555,7 +1555,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1605,7 +1605,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -1858,7 +1858,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2081,7 +2081,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2131,7 +2131,7 @@ 
Method Details

           "displayUrl": "A String", # Required. The webpage address that appears with the ad.
           "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
           "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-          "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+          "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
             "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
             "unavailableReason": "A String", # Output only. The reason why the video data is not available.
             "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2391,7 +2391,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2614,7 +2614,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2664,7 +2664,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -2905,7 +2905,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -3128,7 +3128,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
@@ -3178,7 +3178,7 @@ 
Method Details

       "displayUrl": "A String", # Required. The webpage address that appears with the ad.
       "finalUrl": "A String", # Required. The URL address of the webpage that people reach after they click the ad.
       "trackingUrl": "A String", # Output only. The URL address loaded in the background for tracking purposes.
-      "video": { # Details of a YouTube video. # Required. The YouTube video of the ad.
+      "video": { # Details of a YouTube video. # Required. Immutable. The YouTube video of the ad.
         "id": "A String", # Output only. The YouTube video ID which can be searched on YouTube webpage.
         "unavailableReason": "A String", # Output only. The reason why the video data is not available.
         "videoAssetId": "A String", # Required. The YouTube video asset id. This is the adAssetId of an AdAsset resource.
diff --git a/docs/dyn/displayvideo_v4.advertisers.adGroups.html b/docs/dyn/displayvideo_v4.advertisers.adGroups.html
index 911692a325..c228c02877 100644
--- a/docs/dyn/displayvideo_v4.advertisers.adGroups.html
+++ b/docs/dyn/displayvideo_v4.advertisers.adGroups.html
@@ -270,7 +270,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -291,7 +291,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -350,7 +350,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -668,7 +668,7 @@ 
Method Details

           "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
         },
         "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
         },
         "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
           "environment": "A String", # Required. The serving environment.
@@ -689,7 +689,7 @@ 
Method Details

           "householdIncome": "A String", # Required. The household income of the audience.
         },
         "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
           "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
         },
         "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -748,7 +748,7 @@ 
Method Details

           "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
         },
         "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-          "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+          "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
         },
         "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
           "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v4.advertisers.adGroups.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v4.advertisers.adGroups.targetingTypes.assignedTargetingOptions.html
index 0b8d4a2d27..3f6cc79ec7 100644
--- a/docs/dyn/displayvideo_v4.advertisers.adGroups.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v4.advertisers.adGroups.targetingTypes.assignedTargetingOptions.html
@@ -300,7 +300,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -321,7 +321,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -380,7 +380,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -641,7 +641,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -662,7 +662,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -721,7 +721,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1117,7 +1117,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1138,7 +1138,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1197,7 +1197,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1525,7 +1525,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1546,7 +1546,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1605,7 +1605,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v4.advertisers.html b/docs/dyn/displayvideo_v4.advertisers.html
index 3a57a74c23..a0151e827f 100644
--- a/docs/dyn/displayvideo_v4.advertisers.html
+++ b/docs/dyn/displayvideo_v4.advertisers.html
@@ -519,7 +519,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -540,7 +540,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -599,7 +599,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -875,7 +875,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -896,7 +896,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -955,7 +955,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1392,7 +1392,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1413,7 +1413,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1472,7 +1472,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v4.advertisers.lineItems.html b/docs/dyn/displayvideo_v4.advertisers.lineItems.html
index 45682e8a16..b2c5a511d2 100644
--- a/docs/dyn/displayvideo_v4.advertisers.lineItems.html
+++ b/docs/dyn/displayvideo_v4.advertisers.lineItems.html
@@ -273,7 +273,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -294,7 +294,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -353,7 +353,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -673,7 +673,7 @@ 
Method Details

           "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
         },
         "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+          "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
         },
         "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
           "environment": "A String", # Required. The serving environment.
@@ -694,7 +694,7 @@ 
Method Details

           "householdIncome": "A String", # Required. The household income of the audience.
         },
         "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+        "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
           "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
         },
         "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -753,7 +753,7 @@ 
Method Details

           "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
         },
         "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-          "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+          "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
         },
         "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
           "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1052,7 +1052,7 @@ 
Method Details

     "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
       "A String",
     ],
-    "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+    "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
       "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
       "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
       "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -1067,8 +1067,8 @@ 
Method Details

       ],
       "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
         "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-        "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-        "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+        "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+        "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
       },
       "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
         "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -1323,7 +1323,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -1338,8 +1338,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -1554,7 +1554,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -1569,8 +1569,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -1840,7 +1840,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -1855,8 +1855,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -2084,7 +2084,7 @@ 
Method Details

       "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
         "A String",
       ],
-      "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+      "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
         "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
         "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
         "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -2099,8 +2099,8 @@ 
Method Details

         ],
         "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
           "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-          "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-          "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+          "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+          "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
         },
         "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
           "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -2335,7 +2335,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -2350,8 +2350,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
@@ -2567,7 +2567,7 @@ 
Method Details

   "warningMessages": [ # Output only. The warning messages generated by the line item. These warnings do not block saving the line item, but some may block the line item from running.
     "A String",
   ],
-  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Output only. Settings specific to YouTube and Partners line items.
+  "youtubeAndPartnersSettings": { # Settings for YouTube and Partners line items. # Optional. Settings specific to YouTube and Partners line items.
     "contentCategory": "A String", # Output only. The kind of content on which the YouTube and Partners ads will be shown. *Warning*: This field will be removed in the near future. Use effective_content_category instead.
     "effectiveContentCategory": "A String", # Output only. The content category which takes effect when serving the line item. When content category is set in both line item and advertiser, the stricter one will take effect when serving the line item. New line items will only inherit the advertiser level setting.
     "inventorySourceSettings": { # Settings that control what YouTube related inventories the YouTube and Partners line item will target. # Settings that control what YouTube and Partners inventories the line item will target.
@@ -2582,8 +2582,8 @@ 
Method Details

     ],
     "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times you want ads from this line item to show to the same person over a certain period of time.
       "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+      "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+      "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
     },
     "thirdPartyMeasurementConfigs": { # Settings that control what third-party vendors are measuring specific line item metrics. # Optional. The third-party measurement configs of the line item.
       "brandLiftVendorConfigs": [ # Optional. The third-party vendors measuring brand lift. The following third-party vendors are applicable: * `THIRD_PARTY_VENDOR_DYNATA` * `THIRD_PARTY_VENDOR_KANTAR` * `THIRD_PARTY_VENDOR_INTAGE` * `THIRD_PARTY_VENDOR_MACROMILL`
diff --git a/docs/dyn/displayvideo_v4.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v4.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
index 3b96ea5c16..66e8955970 100644
--- a/docs/dyn/displayvideo_v4.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v4.advertisers.lineItems.targetingTypes.assignedTargetingOptions.html
@@ -300,7 +300,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -321,7 +321,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -380,7 +380,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -641,7 +641,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -662,7 +662,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -721,7 +721,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1117,7 +1117,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1138,7 +1138,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1197,7 +1197,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1525,7 +1525,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1546,7 +1546,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1605,7 +1605,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v4.advertisers.reachForecast.html b/docs/dyn/displayvideo_v4.advertisers.reachForecast.html
index fb1c32042e..25e8b247a4 100644
--- a/docs/dyn/displayvideo_v4.advertisers.reachForecast.html
+++ b/docs/dyn/displayvideo_v4.advertisers.reachForecast.html
@@ -168,8 +168,8 @@ 
Method Details

         },
         "targetFrequency": { # Setting that controls the average number of times the ads will show to the same person over a certain period of time. # Optional. The average number of times the ads will show to the same person over a certain period of time.
           "targetCount": "A String", # The target number of times, on average, the ads will be shown to the same person in the timespan dictated by time_unit and time_unit_count.
-          "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`
-          "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1
+          "timeUnit": "A String", # The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`
+          "timeUnitCount": 42, # The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1
         },
         "userInterestIds": [ # Optional. The user interest IDs to target. Plannable user interests can be retrieved using the `RetrievePlannableUserInterests` method.
           "A String",
diff --git a/docs/dyn/displayvideo_v4.advertisers.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v4.advertisers.targetingTypes.assignedTargetingOptions.html
index ea8860ade8..1432fc7e24 100644
--- a/docs/dyn/displayvideo_v4.advertisers.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v4.advertisers.targetingTypes.assignedTargetingOptions.html
@@ -299,7 +299,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -320,7 +320,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -379,7 +379,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -640,7 +640,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -661,7 +661,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -720,7 +720,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1114,7 +1114,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1135,7 +1135,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1194,7 +1194,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1521,7 +1521,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1542,7 +1542,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1601,7 +1601,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v4.partners.html b/docs/dyn/displayvideo_v4.partners.html
index 2872fea96c..8961167c9c 100644
--- a/docs/dyn/displayvideo_v4.partners.html
+++ b/docs/dyn/displayvideo_v4.partners.html
@@ -257,7 +257,7 @@ 
Method Details

             "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
           },
           "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+            "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
           },
           "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
             "environment": "A String", # Required. The serving environment.
@@ -278,7 +278,7 @@ 
Method Details

             "householdIncome": "A String", # Required. The household income of the audience.
           },
           "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+          "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
             "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
           },
           "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -337,7 +337,7 @@ 
Method Details

             "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
           },
           "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-            "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+            "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
           },
           "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
             "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -613,7 +613,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -634,7 +634,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -693,7 +693,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v4.partners.targetingTypes.assignedTargetingOptions.html b/docs/dyn/displayvideo_v4.partners.targetingTypes.assignedTargetingOptions.html
index 8c4458f132..2a56521c77 100644
--- a/docs/dyn/displayvideo_v4.partners.targetingTypes.assignedTargetingOptions.html
+++ b/docs/dyn/displayvideo_v4.partners.targetingTypes.assignedTargetingOptions.html
@@ -299,7 +299,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -320,7 +320,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -379,7 +379,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -640,7 +640,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -661,7 +661,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -720,7 +720,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1114,7 +1114,7 @@ 
Method Details

     "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
   },
   "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+    "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
   },
   "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
     "environment": "A String", # Required. The serving environment.
@@ -1135,7 +1135,7 @@ 
Method Details

     "householdIncome": "A String", # Required. The household income of the audience.
   },
   "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+  "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
     "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
   },
   "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1194,7 +1194,7 @@ 
Method Details

     "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
   },
   "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-    "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+    "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
   },
   "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
     "sessionPosition": "A String", # The position where the ad will show in a session.
@@ -1521,7 +1521,7 @@ 
Method Details

         "youtubeAndPartnersBidMultiplier": 3.14, # Optional. Bid multiplier allows you to show your ads more or less frequently based on the device type. It will apply a multiplier on the original bid price. When this field is 0, it indicates this field is not applicable instead of multiplying 0 on the original bid price. For example, if the bid price without multiplier is $10.0 and the multiplier is 1.5 for Tablet, the resulting bid price for Tablet will be $15.0. Only applicable to YouTube and Partners line items.
       },
       "digitalContentLabelExclusionDetails": { # Targeting details for digital content label. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. # Digital content label details. This field will be populated when the targeting_type is `TARGETING_TYPE_DIGITAL_CONTENT_LABEL_EXCLUSION`. Digital content labels are targeting exclusions. Advertiser level digital content label exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude content labels in addition to advertiser exclusions, but can't override them. A line item won't serve if all the digital content labels are excluded.
-        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**
+        "excludedContentRatingTier": "A String", # Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.
       },
       "environmentDetails": { # Assigned environment targeting option details. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_ENVIRONMENT`. # Environment details. This field will be populated when the targeting_type is `TARGETING_TYPE_ENVIRONMENT`.
         "environment": "A String", # Required. The serving environment.
@@ -1542,7 +1542,7 @@ 
Method Details

         "householdIncome": "A String", # Required. The household income of the audience.
       },
       "inheritance": "A String", # Output only. The inheritance status of the assigned targeting option.
-      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.
+      "inventorySourceDetails": { # Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`. # Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.
         "inventorySourceId": "A String", # Required. ID of the inventory source. Should refer to the inventory_source_id field of an InventorySource resource.
       },
       "inventorySourceGroupDetails": { # Targeting details for inventory source group. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`. # Inventory source group details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE_GROUP`.
@@ -1601,7 +1601,7 @@ 
Method Details

         "regionalLocationListId": "A String", # Required. ID of the regional location list. Should refer to the location_list_id field of a LocationList resource whose type is `TARGETING_LOCATION_TYPE_REGIONAL`.
       },
       "sensitiveCategoryExclusionDetails": { # Targeting details for sensitive category. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive category details. This field will be populated when the targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. Sensitive categories are targeting exclusions. Advertiser level sensitive category exclusions, if set, are always applied in serving (even though they aren't visible in resource settings). Resource settings can exclude sensitive categories in addition to advertiser exclusions, but can't override them.
-        "excludedSensitiveCategory": "A String", # Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**
+        "excludedSensitiveCategory": "A String", # Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`
       },
       "sessionPositionDetails": { # Details for session position assigned targeting option. This will be populated in the session_position_details field when targeting_type is `TARGETING_TYPE_SESSION_POSITION`. # Session position details. This field will be populated when the targeting_type is `TARGETING_TYPE_SESSION_POSITION`.
         "sessionPosition": "A String", # The position where the ad will show in a session.
diff --git a/docs/dyn/displayvideo_v4.targetingTypes.targetingOptions.html b/docs/dyn/displayvideo_v4.targetingTypes.targetingOptions.html
index f1bba765ac..b750587cda 100644
--- a/docs/dyn/displayvideo_v4.targetingTypes.targetingOptions.html
+++ b/docs/dyn/displayvideo_v4.targetingTypes.targetingOptions.html
@@ -262,7 +262,7 @@ 
Method Details

     "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
   },
   "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-    "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+    "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
   },
   "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
     "displayName": "A String", # Output only. The display name of the sub-exchange.
@@ -451,7 +451,7 @@ 
Method Details

         "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
       },
       "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-        "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+        "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
       },
       "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
         "displayName": "A String", # Output only. The display name of the sub-exchange.
@@ -670,7 +670,7 @@ 
Method Details

         "longitude": 3.14, # Output only. Longitude of the POI rounding to 6th decimal place.
       },
       "sensitiveCategoryDetails": { # Represents a targetable sensitive category. This will be populated in the sensitive_category_details field of the TargetingOption when targeting_type is `TARGETING_TYPE_SENSITIVE_CATEGORY_EXCLUSION`. # Sensitive Category details.
-        "sensitiveCategory": "A String", # Output only. An enum for the DV360 Sensitive category content classifier.
+        "sensitiveCategory": "A String", # Output only. An enum for the Display & Video 360 Sensitive category content classifier.
       },
       "subExchangeDetails": { # Represents a targetable sub-exchange. This will be populated in the sub_exchange_details field of a TargetingOption when targeting_type is `TARGETING_TYPE_SUB_EXCHANGE`. # Sub-exchange details.
         "displayName": "A String", # Output only. The display name of the sub-exchange.
diff --git a/googleapiclient/discovery_cache/documents/displayvideo.v2.json b/googleapiclient/discovery_cache/documents/displayvideo.v2.json
index daae8abcb6..ccc05374ed 100644
--- a/googleapiclient/discovery_cache/documents/displayvideo.v2.json
+++ b/googleapiclient/discovery_cache/documents/displayvideo.v2.json
@@ -1924,7 +1924,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -1976,7 +1975,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -2082,7 +2080,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -2134,7 +2131,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -2237,7 +2233,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -2289,7 +2284,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -2405,7 +2399,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -2457,7 +2450,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -3519,7 +3511,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -3571,7 +3562,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -3668,7 +3658,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -3720,7 +3709,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -3814,7 +3802,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -3866,7 +3853,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -3973,7 +3959,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -4025,7 +4010,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -4354,7 +4338,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -4406,7 +4389,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -4522,7 +4504,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -4574,7 +4555,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -6608,7 +6588,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -6660,7 +6639,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -6757,7 +6735,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -6809,7 +6786,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -6903,7 +6879,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -6955,7 +6930,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7062,7 +7036,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7114,7 +7087,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7269,7 +7241,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7321,7 +7292,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7425,7 +7395,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7477,7 +7446,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7554,7 +7522,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7606,7 +7573,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7823,7 +7789,7 @@
 }
 }
 },
-"revision": "20260923",
+"revision": "20261006",
 "rootUrl": "https://displayvideo.googleapis.com/",
 "schemas": {
 "ActivateManualTriggerRequest": {
@@ -8659,7 +8625,7 @@
 },
 "inventorySourceDetails": {
 "$ref": "InventorySourceAssignedTargetingOptionDetails",
-"description": "Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`."
+"description": "Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`."
 },
 "inventorySourceGroupDetails": {
 "$ref": "InventorySourceGroupAssignedTargetingOptionDetails",
@@ -8760,7 +8726,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -8812,7 +8777,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -9168,6 +9132,10 @@
 "performanceGoalAutoBid": {
 "$ref": "PerformanceGoalBidStrategy",
 "description": "A strategy that automatically adjusts the bid to meet or beat a specified performance goal. It is to be used only for a line item entity."
+},
+"youtubeAndPartnersBid": {
+"$ref": "YoutubeAndPartnersBiddingStrategy",
+"description": "A bid strategy used by YouTube and Partners resources. It can only be used for a YouTube and Partners line item or ad group entity."
 }
 },
 "type": "object"
@@ -9787,28 +9755,7 @@
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -9850,28 +9797,7 @@
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -10349,7 +10275,7 @@
 },
 "video": {
 "$ref": "YoutubeVideoDetails",
-"description": "Required. The YouTube video of the ad."
+"description": "Required. Immutable. The YouTube video of the ad."
 }
 },
 "type": "object"
@@ -10748,7 +10674,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -10800,7 +10725,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -11726,7 +11650,6 @@ false
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -11778,7 +11701,6 @@ false
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -11975,7 +11897,7 @@ false
 "id": "DigitalContentLabelAssignedTargetingOptionDetails",
 "properties": {
 "excludedContentRatingTier": {
-"description": "Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**",
+"description": "Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.",
 "enum": [
 "CONTENT_RATING_TIER_UNSPECIFIED",
 "CONTENT_RATING_TIER_UNRATED",
@@ -11985,14 +11907,23 @@ false
 "CONTENT_RATING_TIER_MATURE",
 "CONTENT_RATING_TIER_FAMILIES"
 ],
+"enumDeprecated": [
+false,
+false,
+true,
+true,
+true,
+true,
+true
+],
 "enumDescriptions": [
-"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating.",
 "Content that has not been labeled.",
-"Content suitable for general audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for most audiences with parental guidance. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for teen and older audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable only for mature audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**"
+"Deprecated: This content rating tier is no longer supported. Content suitable for general audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for most audiences with parental guidance.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for teen and older audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable only for mature audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items."
 ],
 "type": "string"
 }
@@ -12014,14 +11945,23 @@ false
 "CONTENT_RATING_TIER_MATURE",
 "CONTENT_RATING_TIER_FAMILIES"
 ],
+"enumDeprecated": [
+false,
+false,
+true,
+true,
+true,
+true,
+true
+],
 "enumDescriptions": [
-"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating.",
 "Content that has not been labeled.",
-"Content suitable for general audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for most audiences with parental guidance. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for teen and older audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable only for mature audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**"
+"Deprecated: This content rating tier is no longer supported. Content suitable for general audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for most audiences with parental guidance.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for teen and older audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable only for mature audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items."
 ],
 "readOnly": true,
 "type": "string"
@@ -13686,28 +13626,7 @@ false
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -13749,28 +13668,7 @@ false
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -13848,28 +13746,7 @@ false
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -13911,28 +13788,7 @@ false
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -14942,7 +14798,7 @@ true
 "type": "object"
 },
 "InventorySourceAssignedTargetingOptionDetails": {
-"description": "Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.",
+"description": "Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.",
 "id": "InventorySourceAssignedTargetingOptionDetails",
 "properties": {
 "inventorySourceId": {
@@ -15419,8 +15275,7 @@ true
 },
 "youtubeAndPartnersSettings": {
 "$ref": "YoutubeAndPartnersSettings",
-"description": "Output only. Settings specific to YouTube and Partners line items.",
-"readOnly": true
+"description": "Optional. Settings specific to YouTube and Partners line items."
 }
 },
 "type": "object"
@@ -17899,7 +17754,7 @@ false
 "id": "SensitiveCategoryAssignedTargetingOptionDetails",
 "properties": {
 "excludedSensitiveCategory": {
-"description": "Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**",
+"description": "Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`",
 "enum": [
 "SENSITIVE_CATEGORY_UNSPECIFIED",
 "SENSITIVE_CATEGORY_ADULT",
@@ -17922,25 +17777,47 @@ false
 "SENSITIVE_CATEGORY_EMBEDDED_VIDEO",
 "SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO"
 ],
+"enumDeprecated": [
+false,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+false,
+false
+],
 "enumDescriptions": [
-"This enum is only a placeholder and doesn't specify a DV360 sensitive category.",
-"Adult or pornographic text, image, or video content. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to audio, video, or software downloads. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to betting or wagering in a real-world or online setting. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to alcoholic beverages, alcohol brands, recipes, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Political news and media, including discussions of social, governmental, and public policy. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to religious thought or beliefs. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to death, disasters, accidents, war, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to motor vehicle, aviation or other transportation accidents. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States). **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Serves as a placeholder and doesn't specify a Display & Video 360 sensitive category.",
+"Deprecated: This sensitive category is no longer supported. Adult or pornographic text, image, or video content.",
+"Deprecated: This sensitive category is no longer supported. Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context.",
+"Deprecated: This sensitive category is no longer supported. Content related to audio, video, or software downloads.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to betting or wagering in a real-world or online setting.",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc.",
+"Deprecated: This sensitive category is no longer supported. Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult.",
+"Deprecated: This sensitive category is no longer supported. Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to alcoholic beverages, alcohol brands, recipes, etc.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc.",
+"Deprecated: This sensitive category is no longer supported. Political news and media, including discussions of social, governmental, and public policy.",
+"Deprecated: This sensitive category is no longer supported. Content related to religious thought or beliefs.",
+"Deprecated: This sensitive category is no longer supported. Content related to death, disasters, accidents, war, etc.",
+"Deprecated: This sensitive category is no longer supported. Content related to motor vehicle, aviation or other transportation accidents.",
+"Deprecated: This sensitive category is no longer supported. Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States).",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor.",
 "YouTube videos embedded on websites outside of YouTube.com.",
 "Video of live events streamed over the internet."
 ],
@@ -17954,7 +17831,7 @@ false
 "id": "SensitiveCategoryTargetingOptionDetails",
 "properties": {
 "sensitiveCategory": {
-"description": "Output only. An enum for the DV360 Sensitive category content classifier.",
+"description": "Output only. An enum for the Display & Video 360 Sensitive category content classifier.",
 "enum": [
 "SENSITIVE_CATEGORY_UNSPECIFIED",
 "SENSITIVE_CATEGORY_ADULT",
@@ -17977,25 +17854,47 @@ false
 "SENSITIVE_CATEGORY_EMBEDDED_VIDEO",
 "SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO"
 ],
+"enumDeprecated": [
+false,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+false,
+false
+],
 "enumDescriptions": [
-"This enum is only a placeholder and doesn't specify a DV360 sensitive category.",
-"Adult or pornographic text, image, or video content. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to audio, video, or software downloads. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to betting or wagering in a real-world or online setting. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to alcoholic beverages, alcohol brands, recipes, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Political news and media, including discussions of social, governmental, and public policy. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to religious thought or beliefs. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to death, disasters, accidents, war, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to motor vehicle, aviation or other transportation accidents. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States). **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Serves as a placeholder and doesn't specify a Display & Video 360 sensitive category.",
+"Deprecated: This sensitive category is no longer supported. Adult or pornographic text, image, or video content.",
+"Deprecated: This sensitive category is no longer supported. Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context.",
+"Deprecated: This sensitive category is no longer supported. Content related to audio, video, or software downloads.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to betting or wagering in a real-world or online setting.",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc.",
+"Deprecated: This sensitive category is no longer supported. Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult.",
+"Deprecated: This sensitive category is no longer supported. Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to alcoholic beverages, alcohol brands, recipes, etc.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc.",
+"Deprecated: This sensitive category is no longer supported. Political news and media, including discussions of social, governmental, and public policy.",
+"Deprecated: This sensitive category is no longer supported. Content related to religious thought or beliefs.",
+"Deprecated: This sensitive category is no longer supported. Content related to death, disasters, accidents, war, etc.",
+"Deprecated: This sensitive category is no longer supported. Content related to motor vehicle, aviation or other transportation accidents.",
+"Deprecated: This sensitive category is no longer supported. Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States).",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor.",
 "YouTube videos embedded on websites outside of YouTube.com.",
 "Video of live events streamed over the internet."
 ],
@@ -18100,7 +17999,7 @@ false
 "type": "string"
 },
 "timeUnit": {
-"description": "The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`",
+"description": "The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`",
 "enum": [
 "TIME_UNIT_UNSPECIFIED",
 "TIME_UNIT_LIFETIME",
@@ -18131,7 +18030,7 @@ false
 "type": "string"
 },
 "timeUnitCount": {
-"description": "The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1",
+"description": "The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1",
 "format": "int32",
 "type": "integer"
 }
@@ -18353,7 +18252,6 @@ true
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -18405,7 +18303,6 @@ true
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -18571,7 +18468,8 @@ true
 "THIRD_PARTY_VENDOR_ISPOT_TV",
 "THIRD_PARTY_VENDOR_INTAGE",
 "THIRD_PARTY_VENDOR_MACROMILL",
-"THIRD_PARTY_VENDOR_VIDEO_RESEARCH"
+"THIRD_PARTY_VENDOR_VIDEO_RESEARCH",
+"THIRD_PARTY_VENDOR_AQUILA"
 ],
 "enumDescriptions": [
 "Unknown third-party vendor.",
@@ -18594,7 +18492,8 @@ true
 "Ispot TV.",
 "Intage.",
 "Macromill.",
-"Video Research."
+"Video Research.",
+"Aquila."
 ],
 "type": "string"
 }
diff --git a/googleapiclient/discovery_cache/documents/displayvideo.v3.json b/googleapiclient/discovery_cache/documents/displayvideo.v3.json
index 5f6963c93c..a5efebf5e7 100644
--- a/googleapiclient/discovery_cache/documents/displayvideo.v3.json
+++ b/googleapiclient/discovery_cache/documents/displayvideo.v3.json
@@ -910,7 +910,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -963,7 +962,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -1070,7 +1068,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -1123,7 +1120,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -1227,7 +1223,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -1280,7 +1275,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -1397,7 +1391,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -1450,7 +1443,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -3041,7 +3033,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -3094,7 +3085,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -3201,7 +3191,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -3254,7 +3243,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -3358,7 +3346,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -3411,7 +3398,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -3528,7 +3514,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -3581,7 +3566,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -4409,7 +4393,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -4462,7 +4445,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -4560,7 +4542,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -4613,7 +4594,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -4708,7 +4688,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -4761,7 +4740,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -4869,7 +4847,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -4922,7 +4899,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7131,7 +7107,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7184,7 +7159,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7282,7 +7256,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7335,7 +7308,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7430,7 +7402,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7483,7 +7454,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7591,7 +7561,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7644,7 +7613,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7800,7 +7768,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -7853,7 +7820,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -7958,7 +7924,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -8011,7 +7976,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -8089,7 +8053,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -8142,7 +8105,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -8360,7 +8322,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261006",
 "rootUrl": "https://displayvideo.googleapis.com/",
 "schemas": {
 "ActiveViewVideoViewabilityMetricConfig": {
@@ -10931,7 +10893,7 @@
 },
 "inventorySourceDetails": {
 "$ref": "InventorySourceAssignedTargetingOptionDetails",
-"description": "Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`."
+"description": "Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`."
 },
 "inventorySourceGroupDetails": {
 "$ref": "InventorySourceGroupAssignedTargetingOptionDetails",
@@ -11032,7 +10994,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -11085,7 +11046,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -12138,28 +12098,7 @@
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -12201,28 +12140,7 @@
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -12735,7 +12653,7 @@
 },
 "video": {
 "$ref": "YoutubeVideoDetails",
-"description": "Required. The YouTube video of the ad."
+"description": "Required. Immutable. The YouTube video of the ad."
 }
 },
 "type": "object"
@@ -13238,7 +13156,6 @@
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -13291,7 +13208,6 @@
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -14392,7 +14308,6 @@ false
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -14445,7 +14360,6 @@ false
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -15012,7 +14926,7 @@ false
 "id": "DigitalContentLabelAssignedTargetingOptionDetails",
 "properties": {
 "excludedContentRatingTier": {
-"description": "Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**",
+"description": "Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.",
 "enum": [
 "CONTENT_RATING_TIER_UNSPECIFIED",
 "CONTENT_RATING_TIER_UNRATED",
@@ -15022,14 +14936,23 @@ false
 "CONTENT_RATING_TIER_MATURE",
 "CONTENT_RATING_TIER_FAMILIES"
 ],
+"enumDeprecated": [
+false,
+false,
+true,
+true,
+true,
+true,
+true
+],
 "enumDescriptions": [
-"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating.",
 "Content that has not been labeled.",
-"Content suitable for general audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for most audiences with parental guidance. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for teen and older audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable only for mature audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**"
+"Deprecated: This content rating tier is no longer supported. Content suitable for general audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for most audiences with parental guidance.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for teen and older audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable only for mature audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items."
 ],
 "type": "string"
 }
@@ -15051,14 +14974,23 @@ false
 "CONTENT_RATING_TIER_MATURE",
 "CONTENT_RATING_TIER_FAMILIES"
 ],
+"enumDeprecated": [
+false,
+false,
+true,
+true,
+true,
+true,
+true
+],
 "enumDescriptions": [
-"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating.",
 "Content that has not been labeled.",
-"Content suitable for general audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for most audiences with parental guidance. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for teen and older audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable only for mature audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**"
+"Deprecated: This content rating tier is no longer supported. Content suitable for general audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for most audiences with parental guidance.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for teen and older audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable only for mature audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items."
 ],
 "readOnly": true,
 "type": "string"
@@ -16817,28 +16749,7 @@ false
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -16880,28 +16791,7 @@ false
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -16979,28 +16869,7 @@ false
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -17042,28 +16911,7 @@ false
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -18095,7 +17943,7 @@ false
 "type": "object"
 },
 "InventorySourceAssignedTargetingOptionDetails": {
-"description": "Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.",
+"description": "Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.",
 "id": "InventorySourceAssignedTargetingOptionDetails",
 "properties": {
 "inventorySourceId": {
@@ -18646,8 +18494,7 @@ false
 },
 "youtubeAndPartnersSettings": {
 "$ref": "YoutubeAndPartnersSettings",
-"description": "Output only. Settings specific to YouTube and Partners line items.",
-"readOnly": true
+"description": "Optional. Settings specific to YouTube and Partners line items."
 }
 },
 "type": "object"
@@ -21159,7 +21006,7 @@ false
 "id": "SensitiveCategoryAssignedTargetingOptionDetails",
 "properties": {
 "excludedSensitiveCategory": {
-"description": "Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**",
+"description": "Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`",
 "enum": [
 "SENSITIVE_CATEGORY_UNSPECIFIED",
 "SENSITIVE_CATEGORY_ADULT",
@@ -21182,25 +21029,47 @@ false
 "SENSITIVE_CATEGORY_EMBEDDED_VIDEO",
 "SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO"
 ],
+"enumDeprecated": [
+false,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+false,
+false
+],
 "enumDescriptions": [
-"This enum is only a placeholder and doesn't specify a DV360 sensitive category.",
-"Adult or pornographic text, image, or video content. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to audio, video, or software downloads. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to betting or wagering in a real-world or online setting. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to alcoholic beverages, alcohol brands, recipes, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Political news and media, including discussions of social, governmental, and public policy. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to religious thought or beliefs. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to death, disasters, accidents, war, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to motor vehicle, aviation or other transportation accidents. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States). **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Serves as a placeholder and doesn't specify a Display & Video 360 sensitive category.",
+"Deprecated: This sensitive category is no longer supported. Adult or pornographic text, image, or video content.",
+"Deprecated: This sensitive category is no longer supported. Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context.",
+"Deprecated: This sensitive category is no longer supported. Content related to audio, video, or software downloads.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to betting or wagering in a real-world or online setting.",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc.",
+"Deprecated: This sensitive category is no longer supported. Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult.",
+"Deprecated: This sensitive category is no longer supported. Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to alcoholic beverages, alcohol brands, recipes, etc.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc.",
+"Deprecated: This sensitive category is no longer supported. Political news and media, including discussions of social, governmental, and public policy.",
+"Deprecated: This sensitive category is no longer supported. Content related to religious thought or beliefs.",
+"Deprecated: This sensitive category is no longer supported. Content related to death, disasters, accidents, war, etc.",
+"Deprecated: This sensitive category is no longer supported. Content related to motor vehicle, aviation or other transportation accidents.",
+"Deprecated: This sensitive category is no longer supported. Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States).",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor.",
 "YouTube videos embedded on websites outside of YouTube.com.",
 "Video of live events streamed over the internet."
 ],
@@ -21214,7 +21083,7 @@ false
 "id": "SensitiveCategoryTargetingOptionDetails",
 "properties": {
 "sensitiveCategory": {
-"description": "Output only. An enum for the DV360 Sensitive category content classifier.",
+"description": "Output only. An enum for the Display & Video 360 Sensitive category content classifier.",
 "enum": [
 "SENSITIVE_CATEGORY_UNSPECIFIED",
 "SENSITIVE_CATEGORY_ADULT",
@@ -21237,25 +21106,47 @@ false
 "SENSITIVE_CATEGORY_EMBEDDED_VIDEO",
 "SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO"
 ],
+"enumDeprecated": [
+false,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+false,
+false
+],
 "enumDescriptions": [
-"This enum is only a placeholder and doesn't specify a DV360 sensitive category.",
-"Adult or pornographic text, image, or video content. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to audio, video, or software downloads. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to betting or wagering in a real-world or online setting. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to alcoholic beverages, alcohol brands, recipes, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Political news and media, including discussions of social, governmental, and public policy. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to religious thought or beliefs. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to death, disasters, accidents, war, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to motor vehicle, aviation or other transportation accidents. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States). **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Serves as a placeholder and doesn't specify a Display & Video 360 sensitive category.",
+"Deprecated: This sensitive category is no longer supported. Adult or pornographic text, image, or video content.",
+"Deprecated: This sensitive category is no longer supported. Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context.",
+"Deprecated: This sensitive category is no longer supported. Content related to audio, video, or software downloads.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to betting or wagering in a real-world or online setting.",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc.",
+"Deprecated: This sensitive category is no longer supported. Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult.",
+"Deprecated: This sensitive category is no longer supported. Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to alcoholic beverages, alcohol brands, recipes, etc.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc.",
+"Deprecated: This sensitive category is no longer supported. Political news and media, including discussions of social, governmental, and public policy.",
+"Deprecated: This sensitive category is no longer supported. Content related to religious thought or beliefs.",
+"Deprecated: This sensitive category is no longer supported. Content related to death, disasters, accidents, war, etc.",
+"Deprecated: This sensitive category is no longer supported. Content related to motor vehicle, aviation or other transportation accidents.",
+"Deprecated: This sensitive category is no longer supported. Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States).",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor.",
 "YouTube videos embedded on websites outside of YouTube.com.",
 "Video of live events streamed over the internet."
 ],
@@ -21360,7 +21251,7 @@ false
 "type": "string"
 },
 "timeUnit": {
-"description": "The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`",
+"description": "The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`",
 "enum": [
 "TIME_UNIT_UNSPECIFIED",
 "TIME_UNIT_LIFETIME",
@@ -21391,7 +21282,7 @@ false
 "type": "string"
 },
 "timeUnitCount": {
-"description": "The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1",
+"description": "The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1",
 "format": "int32",
 "type": "integer"
 }
@@ -21402,30 +21293,6 @@ false
 "description": "Settings that control the [optimized targeting](//support.google.com/displayvideo/answer/12060859) settings of the line item.",
 "id": "TargetingExpansionConfig",
 "properties": {
-"audienceExpansionLevel": {
-"description": "Output only. Magnitude of expansion for eligible first-party user lists under this ad group. This field only applies to YouTube and Partners line item and ad group resources.",
-"enum": [
-"UNKNOWN",
-"NO_REACH",
-"LEAST_REACH",
-"MID_REACH",
-"MOST_REACH"
-],
-"enumDescriptions": [
-"Audience expansion level is not specified or is unknown in this version.",
-"Audience expansion off.",
-"Conservative audience expansion.",
-"Moderate audience expansion.",
-"Aggressive audience expansion."
-],
-"readOnly": true,
-"type": "string"
-},
-"audienceExpansionSeedListExcluded": {
-"description": "Output only. Whether to exclude seed list for audience expansion. This field only applies to YouTube and Partners line item and ad group resources.",
-"readOnly": true,
-"type": "boolean"
-},
 "enableOptimizedTargeting": {
 "description": "Required. Whether to enable Optimized Targeting for the line item. Optimized targeting is not compatible with all bid strategies. Attempting to set this field to `true` for a line item using the BiddingStrategy field fixed_bid or one of the following combinations of BiddingStrategy fields and BiddingStrategyPerformanceGoalType will result in an error: maximize_auto_spend_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_CIVA` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_IVO_TEN` * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_AV_VIEWED` performance_goal_auto_bid: * `BIDDING_STRATEGY_PERFORMANCE_GOAL_TYPE_VIEWABLE_CPM` This also applies if the line item inherits one of the above bid strategies from the parent insertion order. Bid strategies set at the insertion order-level will be inherited by their line items if the `InsertionOrder` budget field automationType is set to `INSERTION_ORDER_AUTOMATION_TYPE_BUDGET` or `INSERTION_ORDER_AUTOMATION_TYPE_BID_BUDGET`.",
 "type": "boolean"
@@ -21609,7 +21476,6 @@ false
 "TARGETING_TYPE_NEGATIVE_KEYWORD_LIST",
 "TARGETING_TYPE_VIEWABILITY",
 "TARGETING_TYPE_CATEGORY",
-"TARGETING_TYPE_INVENTORY_SOURCE",
 "TARGETING_TYPE_LANGUAGE",
 "TARGETING_TYPE_AUTHORIZED_SELLER_STATUS",
 "TARGETING_TYPE_GEO_REGION",
@@ -21662,7 +21528,6 @@ false
 "Target ads to a specific negative keyword list.",
 "Target ads to a specific viewability (for example, 80% viewable).",
 "Target ads to a specific content category (for example, arts & entertainment).",
-"Purchase impressions from specific deals and auction packages.",
 "Target ads to a specific language (for example, English or Japanese).",
 "Target ads to ads.txt authorized sellers. If no targeting option of this type is assigned, the resource uses the \"Authorized Direct Sellers and Resellers\" option by default.",
 "Target ads to a specific regional location (for example, a city or state).",
@@ -21829,7 +21694,8 @@ false
 "THIRD_PARTY_VENDOR_ISPOT_TV",
 "THIRD_PARTY_VENDOR_INTAGE",
 "THIRD_PARTY_VENDOR_MACROMILL",
-"THIRD_PARTY_VENDOR_VIDEO_RESEARCH"
+"THIRD_PARTY_VENDOR_VIDEO_RESEARCH",
+"THIRD_PARTY_VENDOR_AQUILA"
 ],
 "enumDescriptions": [
 "Unknown third-party vendor.",
@@ -21852,7 +21718,8 @@ false
 "Ispot TV.",
 "Intage.",
 "Macromill.",
-"Video Research."
+"Video Research.",
+"Aquila."
 ],
 "type": "string"
 }
diff --git a/googleapiclient/discovery_cache/documents/displayvideo.v4.json b/googleapiclient/discovery_cache/documents/displayvideo.v4.json
index c2e31ff7ed..705a25fe3d 100644
--- a/googleapiclient/discovery_cache/documents/displayvideo.v4.json
+++ b/googleapiclient/discovery_cache/documents/displayvideo.v4.json
@@ -9618,7 +9618,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261006",
 "rootUrl": "https://displayvideo.googleapis.com/",
 "schemas": {
 "ActiveViewVideoViewabilityMetricConfig": {
@@ -12438,7 +12438,7 @@
 },
 "inventorySourceDetails": {
 "$ref": "InventorySourceAssignedTargetingOptionDetails",
-"description": "Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`."
+"description": "Inventory source details. This field will be populated when the targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`."
 },
 "inventorySourceGroupDetails": {
 "$ref": "InventorySourceGroupAssignedTargetingOptionDetails",
@@ -13673,28 +13673,7 @@
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -13736,28 +13715,7 @@
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -14286,7 +14244,7 @@
 },
 "video": {
 "$ref": "YoutubeVideoDetails",
-"description": "Required. The YouTube video of the ad."
+"description": "Required. Immutable. The YouTube video of the ad."
 }
 },
 "type": "object"
@@ -16725,7 +16683,7 @@ false
 "id": "DigitalContentLabelAssignedTargetingOptionDetails",
 "properties": {
 "excludedContentRatingTier": {
-"description": "Required. The display name of the digital content label rating tier to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept the value `CONTENT_RATING_TIER_UNRATED`. All other values will be deprecated and no longer be accepted.**",
+"description": "Required. The display name of the digital content label rating tier to be EXCLUDED. This field only accepts the value `CONTENT_RATING_TIER_UNRATED`.",
 "enum": [
 "CONTENT_RATING_TIER_UNSPECIFIED",
 "CONTENT_RATING_TIER_UNRATED",
@@ -16735,14 +16693,23 @@ false
 "CONTENT_RATING_TIER_MATURE",
 "CONTENT_RATING_TIER_FAMILIES"
 ],
+"enumDeprecated": [
+false,
+false,
+true,
+true,
+true,
+true,
+true
+],
 "enumDescriptions": [
-"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating.",
 "Content that has not been labeled.",
-"Content suitable for general audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for most audiences with parental guidance. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for teen and older audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable only for mature audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**"
+"Deprecated: This content rating tier is no longer supported. Content suitable for general audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for most audiences with parental guidance.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for teen and older audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable only for mature audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items."
 ],
 "type": "string"
 }
@@ -16764,14 +16731,23 @@ false
 "CONTENT_RATING_TIER_MATURE",
 "CONTENT_RATING_TIER_FAMILIES"
 ],
+"enumDeprecated": [
+false,
+false,
+true,
+true,
+true,
+true,
+true
+],
 "enumDescriptions": [
-"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Content label is not specified in this version. This enum is a place holder for a default value and does not represent a real content rating.",
 "Content that has not been labeled.",
-"Content suitable for general audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for most audiences with parental guidance. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for teen and older audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable only for mature audiences. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**"
+"Deprecated: This content rating tier is no longer supported. Content suitable for general audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for most audiences with parental guidance.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for teen and older audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable only for mature audiences.",
+"Deprecated: This content rating tier is no longer supported. Content suitable for family audiences. It is a subset of CONTENT_RATING_TIER_GENERAL. Only applicable to YouTube and Partners line items."
 ],
 "readOnly": true,
 "type": "string"
@@ -18827,28 +18803,7 @@ false
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -18890,28 +18845,7 @@ false
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -18989,28 +18923,7 @@ false
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -19052,28 +18965,7 @@ false
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -20487,7 +20379,7 @@ false
 "type": "object"
 },
 "InventorySourceAssignedTargetingOptionDetails": {
-"description": "Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is `TARGETING_TYPE_INVENTORY_SOURCE`.",
+"description": "Targeting details for inventory source. This will be populated in the details field of an AssignedTargetingOption when targeting_type is one of `TARGETING_TYPE_INVENTORY_SOURCE` or `TARGETING_TYPE_INVENTORY_SOURCE_DEAL`.",
 "id": "InventorySourceAssignedTargetingOptionDetails",
 "properties": {
 "inventorySourceId": {
@@ -21133,8 +21025,7 @@ false
 },
 "youtubeAndPartnersSettings": {
 "$ref": "YoutubeAndPartnersSettings",
-"description": "Output only. Settings specific to YouTube and Partners line items.",
-"readOnly": true
+"description": "Optional. Settings specific to YouTube and Partners line items."
 }
 },
 "type": "object"
@@ -23066,28 +22957,7 @@ false
 "GEO_REGION_TYPE_COMMUNE",
 "GEO_REGION_TYPE_COLLOQUIAL_AREA",
 "GEO_REGION_TYPE_POST_TOWN",
-"GEO_REGION_TYPE_WARD",
-"GEO_REGION_TYPE_TOWN",
-"GEO_REGION_TYPE_VILLAGE",
-"GEO_REGION_TYPE_CITY_DISTRICT",
-"GEO_REGION_TYPE_SUBURB",
-"GEO_REGION_TYPE_HAMLET",
-"GEO_REGION_TYPE_MUNICIPAL_DISTRICT",
-"GEO_REGION_TYPE_COMMUNITY",
-"GEO_REGION_TYPE_TOWNSHIP",
-"GEO_REGION_TYPE_URBAN_DISTRICT",
-"GEO_REGION_TYPE_RESIDENTIAL_AREA",
-"GEO_REGION_TYPE_INDEPENDENT_CITY",
-"GEO_REGION_TYPE_SECTOR",
-"GEO_REGION_TYPE_AREA",
-"GEO_REGION_TYPE_ESTATE",
-"GEO_REGION_TYPE_PARISH",
-"GEO_REGION_TYPE_SETTLEMENT",
-"GEO_REGION_TYPE_ZONE",
-"GEO_REGION_TYPE_COLONY",
-"GEO_REGION_TYPE_INDUSTRIAL_AREA",
-"GEO_REGION_TYPE_PROVINCIAL_CITY",
-"GEO_REGION_TYPE_RURAL_DISTRICT"
+"GEO_REGION_TYPE_WARD"
 ],
 "enumDescriptions": [
 "The geographic region type is unknown.",
@@ -23129,28 +22999,7 @@ false
 "The geographic region is a commune.",
 "The geographic region is a colloquial area.",
 "The geographic region is a post town.",
-"The geographic region is a ward.",
-"The geographic region is a town.",
-"The geographic region is a village.",
-"The geographic region is a city district.",
-"The geographic region is a suburb.",
-"The geographic region is a hamlet.",
-"The geographic region is a municipal district.",
-"The geographic region is a community.",
-"The geographic region is a township.",
-"The geographic region is an urban district.",
-"The geographic region is a residential area.",
-"The geographic region is an independent city.",
-"The geographic region is a sector.",
-"The geographic region is an area.",
-"The geographic region is an estate.",
-"The geographic region is a parish.",
-"The geographic region is a settlement.",
-"The geographic region is a zone.",
-"The geographic region is a colony.",
-"The geographic region is an industrial area.",
-"The geographic region is a provincial city.",
-"The geographic region is a rural district."
+"The geographic region is a ward."
 ],
 "readOnly": true,
 "type": "string"
@@ -24437,7 +24286,7 @@ false
 "id": "SensitiveCategoryAssignedTargetingOptionDetails",
 "properties": {
 "excludedSensitiveCategory": {
-"description": "Required. An enum for the DV360 Sensitive category content classified to be EXCLUDED. **Starting on *October 1, 2026*, this field will only accept `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` or `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`. All other values will be deprecated and no longer be accepted.**",
+"description": "Required. An enum for the Display & Video 360 Sensitive category content classified to be EXCLUDED. This field only accepts the following values: * `SENSITIVE_CATEGORY_EMBEDDED_VIDEO` * `SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO`",
 "enum": [
 "SENSITIVE_CATEGORY_UNSPECIFIED",
 "SENSITIVE_CATEGORY_ADULT",
@@ -24460,25 +24309,47 @@ false
 "SENSITIVE_CATEGORY_EMBEDDED_VIDEO",
 "SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO"
 ],
+"enumDeprecated": [
+false,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+false,
+false
+],
 "enumDescriptions": [
-"This enum is only a placeholder and doesn't specify a DV360 sensitive category.",
-"Adult or pornographic text, image, or video content. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to audio, video, or software downloads. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to betting or wagering in a real-world or online setting. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to alcoholic beverages, alcohol brands, recipes, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Political news and media, including discussions of social, governmental, and public policy. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to religious thought or beliefs. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to death, disasters, accidents, war, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to motor vehicle, aviation or other transportation accidents. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States). **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Serves as a placeholder and doesn't specify a Display & Video 360 sensitive category.",
+"Deprecated: This sensitive category is no longer supported. Adult or pornographic text, image, or video content.",
+"Deprecated: This sensitive category is no longer supported. Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context.",
+"Deprecated: This sensitive category is no longer supported. Content related to audio, video, or software downloads.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to betting or wagering in a real-world or online setting.",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc.",
+"Deprecated: This sensitive category is no longer supported. Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult.",
+"Deprecated: This sensitive category is no longer supported. Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to alcoholic beverages, alcohol brands, recipes, etc.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc.",
+"Deprecated: This sensitive category is no longer supported. Political news and media, including discussions of social, governmental, and public policy.",
+"Deprecated: This sensitive category is no longer supported. Content related to religious thought or beliefs.",
+"Deprecated: This sensitive category is no longer supported. Content related to death, disasters, accidents, war, etc.",
+"Deprecated: This sensitive category is no longer supported. Content related to motor vehicle, aviation or other transportation accidents.",
+"Deprecated: This sensitive category is no longer supported. Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States).",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor.",
 "YouTube videos embedded on websites outside of YouTube.com.",
 "Video of live events streamed over the internet."
 ],
@@ -24492,7 +24363,7 @@ false
 "id": "SensitiveCategoryTargetingOptionDetails",
 "properties": {
 "sensitiveCategory": {
-"description": "Output only. An enum for the DV360 Sensitive category content classifier.",
+"description": "Output only. An enum for the Display & Video 360 Sensitive category content classifier.",
 "enum": [
 "SENSITIVE_CATEGORY_UNSPECIFIED",
 "SENSITIVE_CATEGORY_ADULT",
@@ -24515,25 +24386,47 @@ false
 "SENSITIVE_CATEGORY_EMBEDDED_VIDEO",
 "SENSITIVE_CATEGORY_LIVE_STREAMING_VIDEO"
 ],
+"enumDeprecated": [
+false,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+true,
+false,
+false
+],
 "enumDescriptions": [
-"This enum is only a placeholder and doesn't specify a DV360 sensitive category.",
-"Adult or pornographic text, image, or video content. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to audio, video, or software downloads. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to betting or wagering in a real-world or online setting. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to alcoholic beverages, alcohol brands, recipes, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Political news and media, including discussions of social, governmental, and public policy. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to religious thought or beliefs. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to death, disasters, accidents, war, etc. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content related to motor vehicle, aviation or other transportation accidents. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States). **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
-"Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor. **Starting on *October 1, 2026*, this value will be deprecated and no longer be accepted as a valid value when assigning targeting.**",
+"Serves as a placeholder and doesn't specify a Display & Video 360 sensitive category.",
+"Deprecated: This sensitive category is no longer supported. Adult or pornographic text, image, or video content.",
+"Deprecated: This sensitive category is no longer supported. Content that may be construed as biased against individuals, groups, or organizations based on criteria such as race, religion, disability, sex, age, veteran status, sexual orientation, gender identity, or political affiliation. May also indicate discussion of such content, for instance, in an academic or journalistic context.",
+"Deprecated: This sensitive category is no longer supported. Content related to audio, video, or software downloads.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to personal weapons, including knives, guns, small firearms, and ammunition. Selecting either \"weapons\" or \"sensitive social issues\" will result in selecting both.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to betting or wagering in a real-world or online setting.",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered graphically violent, gory, gruesome, or shocking, such as street fighting videos, accident photos, descriptions of torture, etc.",
+"Deprecated: This sensitive category is no longer supported. Adult content, as well as suggestive content that's not explicitly pornographic. This category includes all pages categorized as adult.",
+"Deprecated: This sensitive category is no longer supported. Prominent use of words considered indecent, such as curse words and sexual slang. Pages with only very occasional usage, such as news sites that might include such words in a quotation, are not included.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to alcoholic beverages, alcohol brands, recipes, etc.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to the recreational use of legal or illegal drugs, as well as to drug paraphernalia or cultivation.",
+"Deprecated: This sensitive category is no longer supported. Contains content related to tobacco and tobacco accessories, including lighters, humidors, ashtrays, etc.",
+"Deprecated: This sensitive category is no longer supported. Political news and media, including discussions of social, governmental, and public policy.",
+"Deprecated: This sensitive category is no longer supported. Content related to religious thought or beliefs.",
+"Deprecated: This sensitive category is no longer supported. Content related to death, disasters, accidents, war, etc.",
+"Deprecated: This sensitive category is no longer supported. Content related to motor vehicle, aviation or other transportation accidents.",
+"Deprecated: This sensitive category is no longer supported. Issues that evoke strong, opposing views and spark debate. These include issues that are controversial in most countries and markets (such as abortion), as well as those that are controversial in specific countries and markets (such as immigration reform in the United States).",
+"Deprecated: This sensitive category is no longer supported. Content which may be considered shocking or disturbing, such as violent news stories, stunts, or toilet humor.",
 "YouTube videos embedded on websites outside of YouTube.com.",
 "Video of live events streamed over the internet."
 ],
@@ -24794,7 +24687,7 @@ false
 "type": "string"
 },
 "timeUnit": {
-"description": "The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS`",
+"description": "The unit of time in which the target frequency will be applied. The following time unit is applicable: * `TIME_UNIT_WEEKS` * `TIME_UNIT_MONTHS`",
 "enum": [
 "TIME_UNIT_UNSPECIFIED",
 "TIME_UNIT_LIFETIME",
@@ -24825,7 +24718,7 @@ false
 "type": "string"
 },
 "timeUnitCount": {
-"description": "The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1",
+"description": "The number of time_unit the target frequency will last. The following restrictions apply based on the value of time_unit: * `TIME_UNIT_WEEKS` - must be 1 * `TIME_UNIT_MONTHS` - must be 1",
 "format": "int32",
 "type": "integer"
 }
@@ -25392,7 +25285,8 @@ false
 "THIRD_PARTY_VENDOR_ISPOT_TV",
 "THIRD_PARTY_VENDOR_INTAGE",
 "THIRD_PARTY_VENDOR_MACROMILL",
-"THIRD_PARTY_VENDOR_VIDEO_RESEARCH"
+"THIRD_PARTY_VENDOR_VIDEO_RESEARCH",
+"THIRD_PARTY_VENDOR_AQUILA"
 ],
 "enumDescriptions": [
 "Unknown third-party vendor.",
@@ -25415,7 +25309,8 @@ false
 "Ispot TV.",
 "Intage.",
 "Macromill.",
-"Video Research."
+"Video Research.",
+"Aquila."
 ],
 "type": "string"
 }

From 482a94957adfd3cda8a3addd3b76aa03ae0150a2 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 15/32] feat(dns): update the api

#### dns:v1

The following keys were added:
- resources.locations.methods.get (Total Keys: 11)
- resources.locations.methods.list (Total Keys: 21)
- resources.operations.methods.cancel (Total Keys: 11)
- resources.operations.methods.delete (Total Keys: 11)
- resources.operations.methods.get (Total Keys: 11)
- resources.operations.methods.list (Total Keys: 20)
- resources.outboundEndpoints.methods.create (Total Keys: 18)
- resources.outboundEndpoints.methods.delete (Total Keys: 15)
- resources.outboundEndpoints.methods.get (Total Keys: 13)
- resources.outboundEndpoints.methods.list (Total Keys: 18)
- resources.outboundEndpoints.methods.patch (Total Keys: 19)
- schemas.Empty (Total Keys: 2)
- schemas.GoogleLongrunningListOperationsResponse (Total Keys: 7)
- schemas.ListLocationsResponse (Total Keys: 5)
- schemas.ListOutboundEndpointsResponse (Total Keys: 7)
- schemas.Location (Total Keys: 10)
- schemas.ManagedZoneForwardingConfig.properties.outboundEndpoints (Total Keys: 2)
- schemas.ManagedZoneForwardingConfigOutboundEndpoint (Total Keys: 6)
- schemas.OperationMetadata (Total Keys: 18)
- schemas.OutboundEndpoint (Total Keys: 18)
- schemas.PolicyAlternativeNameServerConfig.properties.outboundEndpoints (Total Keys: 2)
- schemas.PolicyAlternativeNameServerConfigOutboundEndpoint (Total Keys: 6)
- schemas.Quota.properties.outboundEndpointsPerManagedZone (Total Keys: 2)
- schemas.Quota.properties.outboundEndpointsPerPolicy (Total Keys: 2)

#### dns:v1beta2

The following keys were added:
- resources.locations.methods.get (Total Keys: 11)
- resources.locations.methods.list (Total Keys: 21)
- resources.operations.methods.cancel (Total Keys: 11)
- resources.operations.methods.delete (Total Keys: 11)
- resources.operations.methods.get (Total Keys: 11)
- resources.operations.methods.list (Total Keys: 20)
- resources.outboundEndpoints.methods.create (Total Keys: 18)
- resources.outboundEndpoints.methods.delete (Total Keys: 15)
- resources.outboundEndpoints.methods.get (Total Keys: 13)
- resources.outboundEndpoints.methods.list (Total Keys: 18)
- resources.outboundEndpoints.methods.patch (Total Keys: 19)
- schemas.Empty (Total Keys: 2)
- schemas.GoogleLongrunningListOperationsResponse (Total Keys: 7)
- schemas.ListLocationsResponse (Total Keys: 5)
- schemas.ListOutboundEndpointsResponse (Total Keys: 7)
- schemas.Location (Total Keys: 10)
- schemas.ManagedZoneForwardingConfig.properties.outboundEndpoints (Total Keys: 2)
- schemas.ManagedZoneForwardingConfigOutboundEndpoint (Total Keys: 6)
- schemas.OperationMetadata (Total Keys: 18)
- schemas.OutboundEndpoint (Total Keys: 18)
- schemas.PolicyAlternativeNameServerConfig.properties.outboundEndpoints (Total Keys: 2)
- schemas.PolicyAlternativeNameServerConfigOutboundEndpoint (Total Keys: 6)
- schemas.Quota.properties.outboundEndpointsPerManagedZone (Total Keys: 2)
- schemas.Quota.properties.outboundEndpointsPerPolicy (Total Keys: 2)
---
 docs/dyn/dns_v1.html                          |  15 +
 docs/dyn/dns_v1.locations.html                | 172 +++++
 docs/dyn/dns_v1.managedZoneOperations.html    |  24 +
 docs/dyn/dns_v1.managedZones.html             |  60 ++
 docs/dyn/dns_v1.operations.html               | 233 ++++++
 docs/dyn/dns_v1.outboundEndpoints.html        | 355 +++++++++
 docs/dyn/dns_v1.policies.html                 |  48 ++
 docs/dyn/dns_v1.projects.html                 |   2 +
 docs/dyn/dns_v1beta2.html                     |  15 +
 docs/dyn/dns_v1beta2.locations.html           | 172 +++++
 .../dns_v1beta2.managedZoneOperations.html    |  24 +
 docs/dyn/dns_v1beta2.managedZones.html        |  60 ++
 docs/dyn/dns_v1beta2.operations.html          | 233 ++++++
 docs/dyn/dns_v1beta2.outboundEndpoints.html   | 355 +++++++++
 docs/dyn/dns_v1beta2.policies.html            |  48 ++
 docs/dyn/dns_v1beta2.projects.html            |   2 +
 .../discovery_cache/documents/dns.v1.json     | 685 +++++++++++++++++-
 .../documents/dns.v1beta2.json                | 685 +++++++++++++++++-
 18 files changed, 3186 insertions(+), 2 deletions(-)
 create mode 100644 docs/dyn/dns_v1.locations.html
 create mode 100644 docs/dyn/dns_v1.operations.html
 create mode 100644 docs/dyn/dns_v1.outboundEndpoints.html
 create mode 100644 docs/dyn/dns_v1beta2.locations.html
 create mode 100644 docs/dyn/dns_v1beta2.operations.html
 create mode 100644 docs/dyn/dns_v1beta2.outboundEndpoints.html

diff --git a/docs/dyn/dns_v1.html b/docs/dyn/dns_v1.html
index ab4f33e804..38b0911e9c 100644
--- a/docs/dyn/dns_v1.html
+++ b/docs/dyn/dns_v1.html
@@ -84,6 +84,11 @@ 
Instance Methods

 

 
Returns the dnsKeys Resource.

 
+

+  locations()
+

+
Returns the locations Resource.

+
 

   managedZoneOperations()
 

@@ -94,6 +99,16 @@ 
Instance Methods

 

 
Returns the managedZones Resource.

 
+

+  operations()
+

+
Returns the operations Resource.

+
+

+  outboundEndpoints()
+

+
Returns the outboundEndpoints Resource.

+
 

   policies()
 

diff --git a/docs/dyn/dns_v1.locations.html b/docs/dyn/dns_v1.locations.html
new file mode 100644
index 0000000000..cbf09e684e
--- /dev/null
+++ b/docs/dyn/dns_v1.locations.html
@@ -0,0 +1,172 @@
+
+
+
+
Cloud DNS API . locations

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets information about a location.

+

+  list(name, extraLocationTypes=None, filter=None, pageSize=None, pageToken=None, x__xgafv=None)

+
Lists information about the supported locations for this service. This method lists locations based on the resource scope provided in the ListLocationsRequest.name field: * **Global locations**: If `name` is empty, the method lists the public locations available to all projects. * **Project-specific locations**: If `name` follows the format `projects/{project}`, the method lists locations visible to that specific project. This includes public, private, or other project-specific locations enabled for the project. For gRPC and client library implementations, the resource name is passed as the `name` field. For direct service calls, the resource name is incorporated into the request path based on the specific service implementation and version.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    get(name, x__xgafv=None)
+  
Gets information about a location.
+
+Args:
+  name: string, Resource name for the location. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A resource that represents a Google Cloud location.
+  "displayName": "A String", # The friendly name for this location, typically a nearby city name. For example, "Tokyo".
+  "labels": { # Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"}
+    "a_key": "A String",
+  },
+  "locationId": "A String", # The canonical id for this location. For example: `"us-east1"`.
+  "metadata": { # Service-specific metadata. For example the available capacity at the given location.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # Resource name for the location, which may vary between implementations. For example: `"projects/example-project/locations/us-east1"`
+}

+

+
+

+    list(name, extraLocationTypes=None, filter=None, pageSize=None, pageToken=None, x__xgafv=None)
+  
Lists information about the supported locations for this service. This method lists locations based on the resource scope provided in the ListLocationsRequest.name field: * **Global locations**: If `name` is empty, the method lists the public locations available to all projects. * **Project-specific locations**: If `name` follows the format `projects/{project}`, the method lists locations visible to that specific project. This includes public, private, or other project-specific locations enabled for the project. For gRPC and client library implementations, the resource name is passed as the `name` field. For direct service calls, the resource name is incorporated into the request path based on the specific service implementation and version.
+
+Args:
+  name: string, The resource that owns the locations collection, if applicable. (required)
+  extraLocationTypes: string, Optional. Do not use this field unless explicitly documented otherwise. This is primarily for internal usage. (repeated)
+  filter: string, A filter to narrow down results to a preferred subset. The filtering language accepts strings like `"displayName=tokyo"`, and is documented in more detail in [AIP-160](https://google.aip.dev/160).
+  pageSize: integer, The maximum number of results to return. If not set, the service selects a default.
+  pageToken: string, A page token received from the `next_page_token` field in the response. Send that page token to receive the subsequent page.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # The response message for Locations.ListLocations.
+  "locations": [ # A list of locations that matches the specified filter in the request.
+    { # A resource that represents a Google Cloud location.
+      "displayName": "A String", # The friendly name for this location, typically a nearby city name. For example, "Tokyo".
+      "labels": { # Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"}
+        "a_key": "A String",
+      },
+      "locationId": "A String", # The canonical id for this location. For example: `"us-east1"`.
+      "metadata": { # Service-specific metadata. For example the available capacity at the given location.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+      "name": "A String", # Resource name for the location, which may vary between implementations. For example: `"projects/example-project/locations/us-east1"`
+    },
+  ],
+  "nextPageToken": "A String", # The standard List next-page token.
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/dns_v1.managedZoneOperations.html b/docs/dyn/dns_v1.managedZoneOperations.html
index 2917833a92..ddeccc01eb 100644
--- a/docs/dyn/dns_v1.managedZoneOperations.html
+++ b/docs/dyn/dns_v1.managedZoneOperations.html
@@ -178,6 +178,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -257,6 +263,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -411,6 +423,12 @@ 
Method Details

           },
           "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
             "kind": "dns#managedZoneForwardingConfig",
+            "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+              {
+                "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+                "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+              },
+            ],
             "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
               {
                 "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -490,6 +508,12 @@ 
Method Details

           },
           "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
             "kind": "dns#managedZoneForwardingConfig",
+            "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+              {
+                "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+                "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+              },
+            ],
             "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
               {
                 "domainName": "A String", # Fully qualified domain name for the forwarding target.
diff --git a/docs/dyn/dns_v1.managedZones.html b/docs/dyn/dns_v1.managedZones.html
index 85ee981973..4507dcdcf0 100644
--- a/docs/dyn/dns_v1.managedZones.html
+++ b/docs/dyn/dns_v1.managedZones.html
@@ -145,6 +145,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -234,6 +240,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -346,6 +358,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -503,6 +521,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -611,6 +635,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -746,6 +776,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -825,6 +861,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -1033,6 +1075,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -1168,6 +1216,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -1247,6 +1301,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
diff --git a/docs/dyn/dns_v1.operations.html b/docs/dyn/dns_v1.operations.html
new file mode 100644
index 0000000000..642faa96e3
--- /dev/null
+++ b/docs/dyn/dns_v1.operations.html
@@ -0,0 +1,233 @@
+
+
+
+
Cloud DNS API . operations

+
Instance Methods

+

+  cancel(name, x__xgafv=None)

+
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.

+

+  close()

+
Close httplib2 connections.

+

+  delete(name, x__xgafv=None)

+
Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.

+

+  get(name, x__xgafv=None)

+
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.

+

+  list(name, filter=None, pageSize=None, pageToken=None, returnPartialSuccess=None, x__xgafv=None)

+
Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    cancel(name, x__xgafv=None)
+  
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.
+
+Args:
+  name: string, The name of the operation resource to be cancelled. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}

+

+
+

+    close()
+  
Close httplib2 connections.

+

+
+

+    delete(name, x__xgafv=None)
+  
Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.
+
+Args:
+  name: string, The name of the operation resource to be deleted. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}

+

+
+

+    get(name, x__xgafv=None)
+  
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
+
+Args:
+  name: string, The name of the operation resource. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+

+    list(name, filter=None, pageSize=None, pageToken=None, returnPartialSuccess=None, x__xgafv=None)
+  
Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.
+
+Args:
+  name: string, The name of the operation's parent resource. (required)
+  filter: string, The standard list filter.
+  pageSize: integer, The standard list page size.
+  pageToken: string, The standard list page token.
+  returnPartialSuccess: boolean, When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `"projects/example/locations/-"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # The response message for Operations.ListOperations.
+  "nextPageToken": "A String", # The standard List next-page token.
+  "operations": [ # A list of operations that matches the specified filter in the request.
+    { # This resource represents a long-running operation that is the result of a network API call.
+      "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+      "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+        "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+        "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+          {
+            "a_key": "", # Properties of the object. Contains field @type with type URL.
+          },
+        ],
+        "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+      },
+      "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+      "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+      "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    },
+  ],
+  "unreachable": [ # Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.
+    "A String",
+  ],
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/dns_v1.outboundEndpoints.html b/docs/dyn/dns_v1.outboundEndpoints.html
new file mode 100644
index 0000000000..1c92da74cd
--- /dev/null
+++ b/docs/dyn/dns_v1.outboundEndpoints.html
@@ -0,0 +1,355 @@
+
+
+
+
Cloud DNS API . outboundEndpoints

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  create(parent, body=None, clientOperationId=None, outboundEndpointId=None, requestId=None, x__xgafv=None)

+
Creates a new Outbound Endpoint.

+

+  delete(name, clientOperationId=None, requestId=None, x__xgafv=None)

+
Deletes a previously created Outbound Endpoint.

+

+  get(name, clientOperationId=None, x__xgafv=None)

+
Fetches the representation of an existing Outbound Endpoint.

+

+  list(parent, clientOperationId=None, pageSize=None, pageToken=None, x__xgafv=None)

+
Enumerates all Outbound Endpoints associated with a project.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+

+  patch(name, body=None, clientOperationId=None, requestId=None, updateMask=None, x__xgafv=None)

+
Updates an existing Outbound Endpoint.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    create(parent, body=None, clientOperationId=None, outboundEndpointId=None, requestId=None, x__xgafv=None)
+  
Creates a new Outbound Endpoint.
+
+Args:
+  parent: string, Required. The parent project and location where this OutboundEndpoint will be created. Format: projects/{project}/locations/{location} (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.
+  "annotations": { # Optional. Annotations as key value pairs
+    "a_key": "A String",
+  },
+  "createTime": "A String", # Output only. [Output only] Create time stamp
+  "description": "A String", # Optional. User provided description.
+  "endpointIp": "A String", # Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.
+  "labels": { # Optional. Labels as key value pairs
+    "a_key": "A String",
+  },
+  "name": "A String", # Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`
+  "network": "A String", # Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.
+  "subnetwork": "A String", # Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.
+  "tags": { # Optional. Tag bindings as key value pairs
+    "a_key": "A String",
+  },
+  "updateTime": "A String", # Output only. [Output only] Update time stamp
+}
+
+  clientOperationId: string, For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.
+  outboundEndpointId: string, Required. The ID to use for the OutboundEndpoint, which will become the final component of the OutboundEndpoint's resource name.
+  requestId: string, Optional. An optional request ID to identify requests.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+

+    delete(name, clientOperationId=None, requestId=None, x__xgafv=None)
+  
Deletes a previously created Outbound Endpoint.
+
+Args:
+  name: string, Required. The name of the OutboundEndpoint to delete. Format: projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint} (required)
+  clientOperationId: string, For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.
+  requestId: string, Optional. An optional request ID to identify requests.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+

+    get(name, clientOperationId=None, x__xgafv=None)
+  
Fetches the representation of an existing Outbound Endpoint.
+
+Args:
+  name: string, Required. The name of the OutboundEndpoint to retrieve. Format: projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint} (required)
+  clientOperationId: string, For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.
+  "annotations": { # Optional. Annotations as key value pairs
+    "a_key": "A String",
+  },
+  "createTime": "A String", # Output only. [Output only] Create time stamp
+  "description": "A String", # Optional. User provided description.
+  "endpointIp": "A String", # Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.
+  "labels": { # Optional. Labels as key value pairs
+    "a_key": "A String",
+  },
+  "name": "A String", # Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`
+  "network": "A String", # Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.
+  "subnetwork": "A String", # Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.
+  "tags": { # Optional. Tag bindings as key value pairs
+    "a_key": "A String",
+  },
+  "updateTime": "A String", # Output only. [Output only] Update time stamp
+}

+

+
+

+    list(parent, clientOperationId=None, pageSize=None, pageToken=None, x__xgafv=None)
+  
Enumerates all Outbound Endpoints associated with a project.
+
+Args:
+  parent: string, Required. The parent project and location from which to list resources. Format: projects/{project}/locations/{location} (required)
+  clientOperationId: string, A parameter
+  pageSize: integer, Optional. The maximum number of results to return.
+  pageToken: string, Optional. A page token received from a previous List call.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for OutboundEndpointsService.ListOutboundEndpoints
+  "nextPageToken": "A String", # A token to retrieve the next page of results. Set to empty if there are no remaining results.
+  "outboundEndpoints": [ # The list of OutboundEndpoints.
+    { # An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.
+      "annotations": { # Optional. Annotations as key value pairs
+        "a_key": "A String",
+      },
+      "createTime": "A String", # Output only. [Output only] Create time stamp
+      "description": "A String", # Optional. User provided description.
+      "endpointIp": "A String", # Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.
+      "labels": { # Optional. Labels as key value pairs
+        "a_key": "A String",
+      },
+      "name": "A String", # Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`
+      "network": "A String", # Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.
+      "subnetwork": "A String", # Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.
+      "tags": { # Optional. Tag bindings as key value pairs
+        "a_key": "A String",
+      },
+      "updateTime": "A String", # Output only. [Output only] Update time stamp
+    },
+  ],
+  "unreachable": [ # Unordered list. The resource names of the unreachable locations. Format: `projects/{project}/locations/{location}`
+    "A String",
+  ],
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+

+    patch(name, body=None, clientOperationId=None, requestId=None, updateMask=None, x__xgafv=None)
+  
Updates an existing Outbound Endpoint.
+
+Args:
+  name: string, Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}` (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.
+  "annotations": { # Optional. Annotations as key value pairs
+    "a_key": "A String",
+  },
+  "createTime": "A String", # Output only. [Output only] Create time stamp
+  "description": "A String", # Optional. User provided description.
+  "endpointIp": "A String", # Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.
+  "labels": { # Optional. Labels as key value pairs
+    "a_key": "A String",
+  },
+  "name": "A String", # Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`
+  "network": "A String", # Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.
+  "subnetwork": "A String", # Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.
+  "tags": { # Optional. Tag bindings as key value pairs
+    "a_key": "A String",
+  },
+  "updateTime": "A String", # Output only. [Output only] Update time stamp
+}
+
+  clientOperationId: string, For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.
+  requestId: string, Optional. An optional request ID to identify requests.
+  updateMask: string, Required. The list of fields to be updated.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/dns_v1.policies.html b/docs/dyn/dns_v1.policies.html
index d2098776cd..91ff8034c8 100644
--- a/docs/dyn/dns_v1.policies.html
+++ b/docs/dyn/dns_v1.policies.html
@@ -116,6 +116,12 @@ 
Method Details

 { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -158,6 +164,12 @@ 
Method Details

     { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -223,6 +235,12 @@ 
Method Details

     { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -277,6 +295,12 @@ 
Method Details

     { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
       "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
         "kind": "dns#policyAlternativeNameServerConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
           {
             "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -337,6 +361,12 @@ 
Method Details

 { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -380,6 +410,12 @@ 
Method Details

   "policy": { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
     "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       "kind": "dns#policyAlternativeNameServerConfig",
+      "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+        {
+          "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+          "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+        },
+      ],
       "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
         {
           "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -425,6 +461,12 @@ 
Method Details

 { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -468,6 +510,12 @@ 
Method Details

   "policy": { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
     "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       "kind": "dns#policyAlternativeNameServerConfig",
+      "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+        {
+          "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+          "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+        },
+      ],
       "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
         {
           "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
diff --git a/docs/dyn/dns_v1.projects.html b/docs/dyn/dns_v1.projects.html
index fd65e80559..f69c849276 100644
--- a/docs/dyn/dns_v1.projects.html
+++ b/docs/dyn/dns_v1.projects.html
@@ -119,6 +119,8 @@ 
Method Details

     "networksPerManagedZone": 42, # Maximum allowed number of networks to which a privately scoped zone can be attached.
     "networksPerPolicy": 42, # Maximum allowed number of networks per policy.
     "networksPerResponsePolicy": 42, # Maximum allowed number of networks per response policy.
+    "outboundEndpointsPerManagedZone": 42, # Maximum allowed number of outbound endpoints per managed zone.
+    "outboundEndpointsPerPolicy": 42, # Maximum allowed number of outbound endpoints per policy.
     "peeringZonesPerTargetNetwork": 42, # Maximum allowed number of consumer peering zones per target network owned by this producer project
     "policies": 42, # Maximum allowed number of policies per project.
     "resourceRecordsPerRrset": 42, # Maximum allowed number of ResourceRecords per ResourceRecordSet.
diff --git a/docs/dyn/dns_v1beta2.html b/docs/dyn/dns_v1beta2.html
index 5c4842d6d3..37ee2f84d4 100644
--- a/docs/dyn/dns_v1beta2.html
+++ b/docs/dyn/dns_v1beta2.html
@@ -84,6 +84,11 @@ 
Instance Methods

 

 
Returns the dnsKeys Resource.

 
+

+  locations()
+

+
Returns the locations Resource.

+
 

   managedZoneOperations()
 

@@ -94,6 +99,16 @@ 
Instance Methods

 

 
Returns the managedZones Resource.

 
+

+  operations()
+

+
Returns the operations Resource.

+
+

+  outboundEndpoints()
+

+
Returns the outboundEndpoints Resource.

+
 

   policies()
 

diff --git a/docs/dyn/dns_v1beta2.locations.html b/docs/dyn/dns_v1beta2.locations.html
new file mode 100644
index 0000000000..97571da216
--- /dev/null
+++ b/docs/dyn/dns_v1beta2.locations.html
@@ -0,0 +1,172 @@
+
+
+
+
Cloud DNS API . locations

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  get(name, x__xgafv=None)

+
Gets information about a location.

+

+  list(name, extraLocationTypes=None, filter=None, pageSize=None, pageToken=None, x__xgafv=None)

+
Lists information about the supported locations for this service. This method lists locations based on the resource scope provided in the ListLocationsRequest.name field: * **Global locations**: If `name` is empty, the method lists the public locations available to all projects. * **Project-specific locations**: If `name` follows the format `projects/{project}`, the method lists locations visible to that specific project. This includes public, private, or other project-specific locations enabled for the project. For gRPC and client library implementations, the resource name is passed as the `name` field. For direct service calls, the resource name is incorporated into the request path based on the specific service implementation and version.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    get(name, x__xgafv=None)
+  
Gets information about a location.
+
+Args:
+  name: string, Resource name for the location. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A resource that represents a Google Cloud location.
+  "displayName": "A String", # The friendly name for this location, typically a nearby city name. For example, "Tokyo".
+  "labels": { # Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"}
+    "a_key": "A String",
+  },
+  "locationId": "A String", # The canonical id for this location. For example: `"us-east1"`.
+  "metadata": { # Service-specific metadata. For example the available capacity at the given location.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # Resource name for the location, which may vary between implementations. For example: `"projects/example-project/locations/us-east1"`
+}

+

+
+

+    list(name, extraLocationTypes=None, filter=None, pageSize=None, pageToken=None, x__xgafv=None)
+  
Lists information about the supported locations for this service. This method lists locations based on the resource scope provided in the ListLocationsRequest.name field: * **Global locations**: If `name` is empty, the method lists the public locations available to all projects. * **Project-specific locations**: If `name` follows the format `projects/{project}`, the method lists locations visible to that specific project. This includes public, private, or other project-specific locations enabled for the project. For gRPC and client library implementations, the resource name is passed as the `name` field. For direct service calls, the resource name is incorporated into the request path based on the specific service implementation and version.
+
+Args:
+  name: string, The resource that owns the locations collection, if applicable. (required)
+  extraLocationTypes: string, Optional. Do not use this field unless explicitly documented otherwise. This is primarily for internal usage. (repeated)
+  filter: string, A filter to narrow down results to a preferred subset. The filtering language accepts strings like `"displayName=tokyo"`, and is documented in more detail in [AIP-160](https://google.aip.dev/160).
+  pageSize: integer, The maximum number of results to return. If not set, the service selects a default.
+  pageToken: string, A page token received from the `next_page_token` field in the response. Send that page token to receive the subsequent page.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # The response message for Locations.ListLocations.
+  "locations": [ # A list of locations that matches the specified filter in the request.
+    { # A resource that represents a Google Cloud location.
+      "displayName": "A String", # The friendly name for this location, typically a nearby city name. For example, "Tokyo".
+      "labels": { # Cross-service attributes for the location. For example {"cloud.googleapis.com/region": "us-east1"}
+        "a_key": "A String",
+      },
+      "locationId": "A String", # The canonical id for this location. For example: `"us-east1"`.
+      "metadata": { # Service-specific metadata. For example the available capacity at the given location.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+      "name": "A String", # Resource name for the location, which may vary between implementations. For example: `"projects/example-project/locations/us-east1"`
+    },
+  ],
+  "nextPageToken": "A String", # The standard List next-page token.
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/dns_v1beta2.managedZoneOperations.html b/docs/dyn/dns_v1beta2.managedZoneOperations.html
index ddee9f0bc1..6a4f797cfb 100644
--- a/docs/dyn/dns_v1beta2.managedZoneOperations.html
+++ b/docs/dyn/dns_v1beta2.managedZoneOperations.html
@@ -178,6 +178,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -257,6 +263,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -411,6 +423,12 @@ 
Method Details

           },
           "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
             "kind": "dns#managedZoneForwardingConfig",
+            "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+              {
+                "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+                "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+              },
+            ],
             "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
               {
                 "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -490,6 +508,12 @@ 
Method Details

           },
           "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
             "kind": "dns#managedZoneForwardingConfig",
+            "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+              {
+                "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+                "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+              },
+            ],
             "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
               {
                 "domainName": "A String", # Fully qualified domain name for the forwarding target.
diff --git a/docs/dyn/dns_v1beta2.managedZones.html b/docs/dyn/dns_v1beta2.managedZones.html
index 9053db83d0..4cfab0d3c8 100644
--- a/docs/dyn/dns_v1beta2.managedZones.html
+++ b/docs/dyn/dns_v1beta2.managedZones.html
@@ -145,6 +145,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -234,6 +240,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -346,6 +358,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -503,6 +521,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -611,6 +635,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -746,6 +776,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -825,6 +861,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -1033,6 +1075,12 @@ 
Method Details

   },
   "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
     "kind": "dns#managedZoneForwardingConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
       {
         "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -1168,6 +1216,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
@@ -1247,6 +1301,12 @@ 
Method Details

       },
       "forwardingConfig": { # The presence for this field indicates that outbound forwarding is enabled for this zone. The value of this field contains the set of destinations to forward to.
         "kind": "dns#managedZoneForwardingConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#managedZoneForwardingConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.
           {
             "domainName": "A String", # Fully qualified domain name for the forwarding target.
diff --git a/docs/dyn/dns_v1beta2.operations.html b/docs/dyn/dns_v1beta2.operations.html
new file mode 100644
index 0000000000..664b7aec02
--- /dev/null
+++ b/docs/dyn/dns_v1beta2.operations.html
@@ -0,0 +1,233 @@
+
+
+
+
Cloud DNS API . operations

+
Instance Methods

+

+  cancel(name, x__xgafv=None)

+
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.

+

+  close()

+
Close httplib2 connections.

+

+  delete(name, x__xgafv=None)

+
Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.

+

+  get(name, x__xgafv=None)

+
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.

+

+  list(name, filter=None, pageSize=None, pageToken=None, returnPartialSuccess=None, x__xgafv=None)

+
Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+
Method Details

+

+    cancel(name, x__xgafv=None)
+  
Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.
+
+Args:
+  name: string, The name of the operation resource to be cancelled. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}

+

+
+

+    close()
+  
Close httplib2 connections.

+

+
+

+    delete(name, x__xgafv=None)
+  
Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.
+
+Args:
+  name: string, The name of the operation resource to be deleted. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}

+

+
+

+    get(name, x__xgafv=None)
+  
Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
+
+Args:
+  name: string, The name of the operation resource. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+

+    list(name, filter=None, pageSize=None, pageToken=None, returnPartialSuccess=None, x__xgafv=None)
+  
Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.
+
+Args:
+  name: string, The name of the operation's parent resource. (required)
+  filter: string, The standard list filter.
+  pageSize: integer, The standard list page size.
+  pageToken: string, The standard list page token.
+  returnPartialSuccess: boolean, When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `"projects/example/locations/-"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # The response message for Operations.ListOperations.
+  "nextPageToken": "A String", # The standard List next-page token.
+  "operations": [ # A list of operations that matches the specified filter in the request.
+    { # This resource represents a long-running operation that is the result of a network API call.
+      "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+      "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+        "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+        "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+          {
+            "a_key": "", # Properties of the object. Contains field @type with type URL.
+          },
+        ],
+        "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+      },
+      "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+      "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+      "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    },
+  ],
+  "unreachable": [ # Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.
+    "A String",
+  ],
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/dns_v1beta2.outboundEndpoints.html b/docs/dyn/dns_v1beta2.outboundEndpoints.html
new file mode 100644
index 0000000000..4324275bbc
--- /dev/null
+++ b/docs/dyn/dns_v1beta2.outboundEndpoints.html
@@ -0,0 +1,355 @@
+
+
+
+
Cloud DNS API . outboundEndpoints

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  create(parent, body=None, clientOperationId=None, outboundEndpointId=None, requestId=None, x__xgafv=None)

+
Creates a new Outbound Endpoint.

+

+  delete(name, clientOperationId=None, requestId=None, x__xgafv=None)

+
Deletes a previously created Outbound Endpoint.

+

+  get(name, clientOperationId=None, x__xgafv=None)

+
Fetches the representation of an existing Outbound Endpoint.

+

+  list(parent, clientOperationId=None, pageSize=None, pageToken=None, x__xgafv=None)

+
Enumerates all Outbound Endpoints associated with a project.

+

+  list_next(previous_request, previous_response)

+
Retrieves the next page of results.

+

+  patch(name, body=None, clientOperationId=None, requestId=None, updateMask=None, x__xgafv=None)

+
Updates an existing Outbound Endpoint.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    create(parent, body=None, clientOperationId=None, outboundEndpointId=None, requestId=None, x__xgafv=None)
+  
Creates a new Outbound Endpoint.
+
+Args:
+  parent: string, Required. The parent project and location where this OutboundEndpoint will be created. Format: projects/{project}/locations/{location} (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.
+  "annotations": { # Optional. Annotations as key value pairs
+    "a_key": "A String",
+  },
+  "createTime": "A String", # Output only. [Output only] Create time stamp
+  "description": "A String", # Optional. User provided description.
+  "endpointIp": "A String", # Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.
+  "labels": { # Optional. Labels as key value pairs
+    "a_key": "A String",
+  },
+  "name": "A String", # Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`
+  "network": "A String", # Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.
+  "subnetwork": "A String", # Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.
+  "tags": { # Optional. Tag bindings as key value pairs
+    "a_key": "A String",
+  },
+  "updateTime": "A String", # Output only. [Output only] Update time stamp
+}
+
+  clientOperationId: string, For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.
+  outboundEndpointId: string, Required. The ID to use for the OutboundEndpoint, which will become the final component of the OutboundEndpoint's resource name.
+  requestId: string, Optional. An optional request ID to identify requests.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+

+    delete(name, clientOperationId=None, requestId=None, x__xgafv=None)
+  
Deletes a previously created Outbound Endpoint.
+
+Args:
+  name: string, Required. The name of the OutboundEndpoint to delete. Format: projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint} (required)
+  clientOperationId: string, For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.
+  requestId: string, Optional. An optional request ID to identify requests.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+

+    get(name, clientOperationId=None, x__xgafv=None)
+  
Fetches the representation of an existing Outbound Endpoint.
+
+Args:
+  name: string, Required. The name of the OutboundEndpoint to retrieve. Format: projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint} (required)
+  clientOperationId: string, For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.
+  "annotations": { # Optional. Annotations as key value pairs
+    "a_key": "A String",
+  },
+  "createTime": "A String", # Output only. [Output only] Create time stamp
+  "description": "A String", # Optional. User provided description.
+  "endpointIp": "A String", # Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.
+  "labels": { # Optional. Labels as key value pairs
+    "a_key": "A String",
+  },
+  "name": "A String", # Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`
+  "network": "A String", # Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.
+  "subnetwork": "A String", # Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.
+  "tags": { # Optional. Tag bindings as key value pairs
+    "a_key": "A String",
+  },
+  "updateTime": "A String", # Output only. [Output only] Update time stamp
+}

+

+
+

+    list(parent, clientOperationId=None, pageSize=None, pageToken=None, x__xgafv=None)
+  
Enumerates all Outbound Endpoints associated with a project.
+
+Args:
+  parent: string, Required. The parent project and location from which to list resources. Format: projects/{project}/locations/{location} (required)
+  clientOperationId: string, A parameter
+  pageSize: integer, Optional. The maximum number of results to return.
+  pageToken: string, Optional. A page token received from a previous List call.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Response message for OutboundEndpointsService.ListOutboundEndpoints
+  "nextPageToken": "A String", # A token to retrieve the next page of results. Set to empty if there are no remaining results.
+  "outboundEndpoints": [ # The list of OutboundEndpoints.
+    { # An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.
+      "annotations": { # Optional. Annotations as key value pairs
+        "a_key": "A String",
+      },
+      "createTime": "A String", # Output only. [Output only] Create time stamp
+      "description": "A String", # Optional. User provided description.
+      "endpointIp": "A String", # Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.
+      "labels": { # Optional. Labels as key value pairs
+        "a_key": "A String",
+      },
+      "name": "A String", # Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`
+      "network": "A String", # Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.
+      "subnetwork": "A String", # Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.
+      "tags": { # Optional. Tag bindings as key value pairs
+        "a_key": "A String",
+      },
+      "updateTime": "A String", # Output only. [Output only] Update time stamp
+    },
+  ],
+  "unreachable": [ # Unordered list. The resource names of the unreachable locations. Format: `projects/{project}/locations/{location}`
+    "A String",
+  ],
+}

+

+
+

+    list_next(previous_request, previous_response)
+  
Retrieves the next page of results.
+
+Args:
+  previous_request: The request for the previous page. (required)
+  previous_response: The response from the request for the previous page. (required)
+
+Returns:
+  A request object that you can call 'execute()' on to request the next
+  page. Returns None if there are no more items in the collection.
+

+

+
+

+    patch(name, body=None, clientOperationId=None, requestId=None, updateMask=None, x__xgafv=None)
+  
Updates an existing Outbound Endpoint.
+
+Args:
+  name: string, Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}` (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.
+  "annotations": { # Optional. Annotations as key value pairs
+    "a_key": "A String",
+  },
+  "createTime": "A String", # Output only. [Output only] Create time stamp
+  "description": "A String", # Optional. User provided description.
+  "endpointIp": "A String", # Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.
+  "labels": { # Optional. Labels as key value pairs
+    "a_key": "A String",
+  },
+  "name": "A String", # Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`
+  "network": "A String", # Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.
+  "subnetwork": "A String", # Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.
+  "tags": { # Optional. Tag bindings as key value pairs
+    "a_key": "A String",
+  },
+  "updateTime": "A String", # Output only. [Output only] Update time stamp
+}
+
+  clientOperationId: string, For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.
+  requestId: string, Optional. An optional request ID to identify requests.
+  updateMask: string, Required. The list of fields to be updated.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/dns_v1beta2.policies.html b/docs/dyn/dns_v1beta2.policies.html
index 693ce8a653..9e4cfff7ba 100644
--- a/docs/dyn/dns_v1beta2.policies.html
+++ b/docs/dyn/dns_v1beta2.policies.html
@@ -116,6 +116,12 @@ 
Method Details

 { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -158,6 +164,12 @@ 
Method Details

     { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -223,6 +235,12 @@ 
Method Details

     { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -277,6 +295,12 @@ 
Method Details

     { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
       "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
         "kind": "dns#policyAlternativeNameServerConfig",
+        "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+          {
+            "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+            "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+          },
+        ],
         "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
           {
             "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -337,6 +361,12 @@ 
Method Details

 { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -380,6 +410,12 @@ 
Method Details

   "policy": { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
     "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       "kind": "dns#policyAlternativeNameServerConfig",
+      "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+        {
+          "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+          "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+        },
+      ],
       "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
         {
           "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -425,6 +461,12 @@ 
Method Details

 { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
   "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
     "kind": "dns#policyAlternativeNameServerConfig",
+    "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+      {
+        "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+        "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+      },
+    ],
     "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       {
         "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
@@ -468,6 +510,12 @@ 
Method Details

   "policy": { # A policy is a collection of DNS rules applied to one or more Virtual Private Cloud resources.
     "alternativeNameServerConfig": { # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
       "kind": "dns#policyAlternativeNameServerConfig",
+      "outboundEndpoints": [ # The list of outbound endpoints to use for queries.
+        {
+          "kind": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+          "name": "A String", # Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}
+        },
+      ],
       "targetNameServers": [ # Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.
         {
           "forwardingPath": "A String", # Forwarding path for this TargetNameServer. If unset or set to DEFAULT, Cloud DNS makes forwarding decisions based on address ranges; that is, RFC1918 addresses go to the VPC network, non-RFC1918 addresses go to the internet. When set to PRIVATE, Cloud DNS always sends queries through the VPC network for this target.
diff --git a/docs/dyn/dns_v1beta2.projects.html b/docs/dyn/dns_v1beta2.projects.html
index 1e64b6a974..52acaae50e 100644
--- a/docs/dyn/dns_v1beta2.projects.html
+++ b/docs/dyn/dns_v1beta2.projects.html
@@ -119,6 +119,8 @@ 
Method Details

     "networksPerManagedZone": 42, # Maximum allowed number of networks to which a privately scoped zone can be attached.
     "networksPerPolicy": 42, # Maximum allowed number of networks per policy.
     "networksPerResponsePolicy": 42, # Maximum allowed number of networks per response policy.
+    "outboundEndpointsPerManagedZone": 42, # Maximum allowed number of outbound endpoints per managed zone.
+    "outboundEndpointsPerPolicy": 42, # Maximum allowed number of outbound endpoints per policy.
     "peeringZonesPerTargetNetwork": 42, # Maximum allowed number of consumer peering zones per target network owned by this producer project
     "policies": 42, # Maximum allowed number of policies per project.
     "resourceRecordsPerRrset": 42, # Maximum allowed number of ResourceRecords per ResourceRecordSet.
diff --git a/googleapiclient/discovery_cache/documents/dns.v1.json b/googleapiclient/discovery_cache/documents/dns.v1.json
index 80f250b03d..b39946b777 100644
--- a/googleapiclient/discovery_cache/documents/dns.v1.json
+++ b/googleapiclient/discovery_cache/documents/dns.v1.json
@@ -371,6 +371,88 @@
 }
 }
 },
+"locations": {
+"methods": {
+"get": {
+"description": "Gets information about a location.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}",
+"httpMethod": "GET",
+"id": "dns.locations.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Resource name for the location.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1/{+name}",
+"response": {
+"$ref": "Location"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only",
+"https://www.googleapis.com/auth/ndev.clouddns.readonly",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"list": {
+"description": "Lists information about the supported locations for this service. This method lists locations based on the resource scope provided in the ListLocationsRequest.name field: * **Global locations**: If `name` is empty, the method lists the public locations available to all projects. * **Project-specific locations**: If `name` follows the format `projects/{project}`, the method lists locations visible to that specific project. This includes public, private, or other project-specific locations enabled for the project. For gRPC and client library implementations, the resource name is passed as the `name` field. For direct service calls, the resource name is incorporated into the request path based on the specific service implementation and version.",
+"flatPath": "dns/v1/projects/{projectsId}/locations",
+"httpMethod": "GET",
+"id": "dns.locations.list",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"extraLocationTypes": {
+"description": "Optional. Do not use this field unless explicitly documented otherwise. This is primarily for internal usage.",
+"location": "query",
+"repeated": true,
+"type": "string"
+},
+"filter": {
+"description": "A filter to narrow down results to a preferred subset. The filtering language accepts strings like `\"displayName=tokyo\"`, and is documented in more detail in [AIP-160](https://google.aip.dev/160).",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "The resource that owns the locations collection, if applicable.",
+"location": "path",
+"pattern": "^projects/[^/]+$",
+"required": true,
+"type": "string"
+},
+"pageSize": {
+"description": "The maximum number of results to return. If not set, the service selects a default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "A page token received from the `next_page_token` field in the response. Send that page token to receive the subsequent page.",
+"location": "query",
+"type": "string"
+}
+},
+"path": "dns/v1/{+name}/locations",
+"response": {
+"$ref": "ListLocationsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only",
+"https://www.googleapis.com/auth/ndev.clouddns.readonly",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+}
+}
+},
 "managedZoneOperations": {
 "methods": {
 "get": {
@@ -804,6 +886,340 @@
 }
 }
 },
+"operations": {
+"methods": {
+"cancel": {
+"description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}:cancel",
+"httpMethod": "POST",
+"id": "dns.operations.cancel",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "The name of the operation resource to be cancelled.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1/{+name}:cancel",
+"response": {
+"$ref": "Empty"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"delete": {
+"description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}",
+"httpMethod": "DELETE",
+"id": "dns.operations.delete",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "The name of the operation resource to be deleted.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1/{+name}",
+"response": {
+"$ref": "Empty"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"get": {
+"description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}",
+"httpMethod": "GET",
+"id": "dns.operations.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "The name of the operation resource.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1/{+name}",
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"list": {
+"description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/operations",
+"httpMethod": "GET",
+"id": "dns.operations.list",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"filter": {
+"description": "The standard list filter.",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "The name of the operation's parent resource.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+},
+"pageSize": {
+"description": "The standard list page size.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "The standard list page token.",
+"location": "query",
+"type": "string"
+},
+"returnPartialSuccess": {
+"description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.",
+"location": "query",
+"type": "boolean"
+}
+},
+"path": "dns/v1/{+name}/operations",
+"response": {
+"$ref": "GoogleLongrunningListOperationsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+}
+}
+},
+"outboundEndpoints": {
+"methods": {
+"create": {
+"description": "Creates a new Outbound Endpoint.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/outboundEndpoints",
+"httpMethod": "POST",
+"id": "dns.outboundEndpoints.create",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"clientOperationId": {
+"description": "For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.",
+"location": "query",
+"type": "string"
+},
+"outboundEndpointId": {
+"description": "Required. The ID to use for the OutboundEndpoint, which will become the final component of the OutboundEndpoint's resource name.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent project and location where this OutboundEndpoint will be created. Format: projects/{project}/locations/{location}",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "Optional. An optional request ID to identify requests.",
+"location": "query",
+"type": "string"
+}
+},
+"path": "dns/v1/{+parent}/outboundEndpoints",
+"request": {
+"$ref": "OutboundEndpoint"
+},
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"delete": {
+"description": "Deletes a previously created Outbound Endpoint.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/outboundEndpoints/{outboundEndpointsId}",
+"httpMethod": "DELETE",
+"id": "dns.outboundEndpoints.delete",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"clientOperationId": {
+"description": "For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "Required. The name of the OutboundEndpoint to delete. Format: projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/outboundEndpoints/[^/]+$",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "Optional. An optional request ID to identify requests.",
+"location": "query",
+"type": "string"
+}
+},
+"path": "dns/v1/{+name}",
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"get": {
+"description": "Fetches the representation of an existing Outbound Endpoint.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/outboundEndpoints/{outboundEndpointsId}",
+"httpMethod": "GET",
+"id": "dns.outboundEndpoints.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"clientOperationId": {
+"description": "For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "Required. The name of the OutboundEndpoint to retrieve. Format: projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/outboundEndpoints/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1/{+name}",
+"response": {
+"$ref": "OutboundEndpoint"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only",
+"https://www.googleapis.com/auth/ndev.clouddns.readonly",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"list": {
+"description": "Enumerates all Outbound Endpoints associated with a project.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/outboundEndpoints",
+"httpMethod": "GET",
+"id": "dns.outboundEndpoints.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"clientOperationId": {
+"location": "query",
+"type": "string"
+},
+"pageSize": {
+"description": "Optional. The maximum number of results to return.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A page token received from a previous List call.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent project and location from which to list resources. Format: projects/{project}/locations/{location}",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1/{+parent}/outboundEndpoints",
+"response": {
+"$ref": "ListOutboundEndpointsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only",
+"https://www.googleapis.com/auth/ndev.clouddns.readonly",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"patch": {
+"description": "Updates an existing Outbound Endpoint.",
+"flatPath": "dns/v1/projects/{projectsId}/locations/{locationsId}/outboundEndpoints/{outboundEndpointsId}",
+"httpMethod": "PATCH",
+"id": "dns.outboundEndpoints.patch",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"clientOperationId": {
+"description": "For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/outboundEndpoints/[^/]+$",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "Optional. An optional request ID to identify requests.",
+"location": "query",
+"type": "string"
+},
+"updateMask": {
+"description": "Required. The list of fields to be updated.",
+"format": "google-fieldmask",
+"location": "query",
+"type": "string"
+}
+},
+"path": "dns/v1/{+name}",
+"request": {
+"$ref": "OutboundEndpoint"
+},
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+}
+}
+},
 "policies": {
 "methods": {
 "create": {
@@ -1824,7 +2240,7 @@
 }
 }
 },
-"revision": "20260915",
+"revision": "20261002",
 "rootUrl": "https://dns.googleapis.com/",
 "schemas": {
 "Change": {
@@ -2075,6 +2491,12 @@
 },
 "type": "object"
 },
+"Empty": {
+"description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }",
+"id": "Empty",
+"properties": {},
+"type": "object"
+},
 "Expr": {
 "description": "Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: \"Summary size limit\" description: \"Determines if a summary is less than 100 chars\" expression: \"document.summary.size() < 100\" Example (Equality): title: \"Requestor is owner\" description: \"Determines if requestor is the document owner\" expression: \"document.owner == request.auth.claims.email\" Example (Logic): title: \"Public documents\" description: \"Determine whether the document should be publicly visible\" expression: \"document.type != 'private' && document.type != 'internal'\" Example (Data Manipulation): title: \"Notification string\" description: \"Create a notification string with a timestamp.\" expression: \"'New message received at ' + string(document.create_time)\" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.",
 "id": "Expr",
@@ -2266,6 +2688,31 @@
 },
 "type": "object"
 },
+"GoogleLongrunningListOperationsResponse": {
+"description": "The response message for Operations.ListOperations.",
+"id": "GoogleLongrunningListOperationsResponse",
+"properties": {
+"nextPageToken": {
+"description": "The standard List next-page token.",
+"type": "string"
+},
+"operations": {
+"description": "A list of operations that matches the specified filter in the request.",
+"items": {
+"$ref": "GoogleLongrunningOperation"
+},
+"type": "array"
+},
+"unreachable": {
+"description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.",
+"items": {
+"type": "string"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "GoogleLongrunningOperation": {
 "description": "This resource represents a long-running operation that is the result of a network API call.",
 "id": "GoogleLongrunningOperation",
@@ -2303,6 +2750,84 @@
 },
 "type": "object"
 },
+"ListLocationsResponse": {
+"description": "The response message for Locations.ListLocations.",
+"id": "ListLocationsResponse",
+"properties": {
+"locations": {
+"description": "A list of locations that matches the specified filter in the request.",
+"items": {
+"$ref": "Location"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "The standard List next-page token.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ListOutboundEndpointsResponse": {
+"description": "Response message for OutboundEndpointsService.ListOutboundEndpoints",
+"id": "ListOutboundEndpointsResponse",
+"properties": {
+"nextPageToken": {
+"description": "A token to retrieve the next page of results. Set to empty if there are no remaining results.",
+"type": "string"
+},
+"outboundEndpoints": {
+"description": "The list of OutboundEndpoints.",
+"items": {
+"$ref": "OutboundEndpoint"
+},
+"type": "array"
+},
+"unreachable": {
+"description": "Unordered list. The resource names of the unreachable locations. Format: `projects/{project}/locations/{location}`",
+"items": {
+"type": "string"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
+"Location": {
+"description": "A resource that represents a Google Cloud location.",
+"id": "Location",
+"properties": {
+"displayName": {
+"description": "The friendly name for this location, typically a nearby city name. For example, \"Tokyo\".",
+"type": "string"
+},
+"labels": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Cross-service attributes for the location. For example {\"cloud.googleapis.com/region\": \"us-east1\"}",
+"type": "object"
+},
+"locationId": {
+"description": "The canonical id for this location. For example: `\"us-east1\"`.",
+"type": "string"
+},
+"metadata": {
+"additionalProperties": {
+"description": "Properties of the object. Contains field @type with type URL.",
+"type": "any"
+},
+"description": "Service-specific metadata. For example the available capacity at the given location.",
+"format": "google.protobuf.Any",
+"type": "object"
+},
+"name": {
+"description": "Resource name for the location, which may vary between implementations. For example: `\"projects/example-project/locations/us-east1\"`",
+"type": "string"
+}
+},
+"type": "object"
+},
 "ManagedZone": {
 "description": "A zone is a subtree of the DNS namespace under one administrative responsibility. A ManagedZone is a resource that represents a DNS zone hosted by the Cloud DNS service.",
 "id": "ManagedZone",
@@ -2461,6 +2986,13 @@
 "readOnly": true,
 "type": "string"
 },
+"outboundEndpoints": {
+"description": "The list of outbound endpoints to use for queries.",
+"items": {
+"$ref": "ManagedZoneForwardingConfigOutboundEndpoint"
+},
+"type": "array"
+},
 "targetNameServers": {
 "description": "List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.",
 "items": {
@@ -2506,6 +3038,21 @@
 },
 "type": "object"
 },
+"ManagedZoneForwardingConfigOutboundEndpoint": {
+"id": "ManagedZoneForwardingConfigOutboundEndpoint",
+"properties": {
+"kind": {
+"default": "dns#managedZoneForwardingConfigOutboundEndpoint",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}",
+"type": "string"
+}
+},
+"type": "object"
+},
 "ManagedZoneOperationsListResponse": {
 "id": "ManagedZoneOperationsListResponse",
 "properties": {
@@ -2763,6 +3310,110 @@
 },
 "type": "object"
 },
+"OperationMetadata": {
+"description": "Represents the metadata of the long-running operation.",
+"id": "OperationMetadata",
+"properties": {
+"apiVersion": {
+"description": "Output only. API version used to start the operation.",
+"readOnly": true,
+"type": "string"
+},
+"createTime": {
+"description": "Output only. The time the operation was created.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"endTime": {
+"description": "Output only. The time the operation finished running.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"requestedCancellation": {
+"description": "Output only. Identifies whether the user has requested cancellation of the operation. Operations that have successfully been cancelled have Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.",
+"readOnly": true,
+"type": "boolean"
+},
+"statusMessage": {
+"description": "Output only. Human-readable status of the operation, if any.",
+"readOnly": true,
+"type": "string"
+},
+"target": {
+"description": "Output only. Server-defined resource path for the target of the operation.",
+"readOnly": true,
+"type": "string"
+},
+"verb": {
+"description": "Output only. Name of the verb executed by the operation.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"OutboundEndpoint": {
+"description": "An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.",
+"id": "OutboundEndpoint",
+"properties": {
+"annotations": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Optional. Annotations as key value pairs",
+"type": "object"
+},
+"createTime": {
+"description": "Output only. [Output only] Create time stamp",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"description": {
+"description": "Optional. User provided description.",
+"type": "string"
+},
+"endpointIp": {
+"description": "Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.",
+"type": "string"
+},
+"labels": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Optional. Labels as key value pairs",
+"type": "object"
+},
+"name": {
+"description": "Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`",
+"type": "string"
+},
+"network": {
+"description": "Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.",
+"type": "string"
+},
+"subnetwork": {
+"description": "Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.",
+"type": "string"
+},
+"tags": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Optional. Tag bindings as key value pairs",
+"type": "object"
+},
+"updateTime": {
+"description": "Output only. [Output only] Update time stamp",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "PoliciesListResponse": {
 "id": "PoliciesListResponse",
 "properties": {
@@ -2860,6 +3511,13 @@
 "readOnly": true,
 "type": "string"
 },
+"outboundEndpoints": {
+"description": "The list of outbound endpoints to use for queries.",
+"items": {
+"$ref": "PolicyAlternativeNameServerConfigOutboundEndpoint"
+},
+"type": "array"
+},
 "targetNameServers": {
 "description": "Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.",
 "items": {
@@ -2870,6 +3528,21 @@
 },
 "type": "object"
 },
+"PolicyAlternativeNameServerConfigOutboundEndpoint": {
+"id": "PolicyAlternativeNameServerConfigOutboundEndpoint",
+"properties": {
+"kind": {
+"default": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}",
+"type": "string"
+}
+},
+"type": "object"
+},
 "PolicyAlternativeNameServerConfigTargetNameServer": {
 "id": "PolicyAlternativeNameServerConfigTargetNameServer",
 "properties": {
@@ -3045,6 +3718,16 @@
 "format": "int32",
 "type": "integer"
 },
+"outboundEndpointsPerManagedZone": {
+"description": "Maximum allowed number of outbound endpoints per managed zone.",
+"format": "int32",
+"type": "integer"
+},
+"outboundEndpointsPerPolicy": {
+"description": "Maximum allowed number of outbound endpoints per policy.",
+"format": "int32",
+"type": "integer"
+},
 "peeringZonesPerTargetNetwork": {
 "description": "Maximum allowed number of consumer peering zones per target network owned by this producer project",
 "format": "int32",
diff --git a/googleapiclient/discovery_cache/documents/dns.v1beta2.json b/googleapiclient/discovery_cache/documents/dns.v1beta2.json
index 45f98840bc..a77ffb7c6a 100644
--- a/googleapiclient/discovery_cache/documents/dns.v1beta2.json
+++ b/googleapiclient/discovery_cache/documents/dns.v1beta2.json
@@ -371,6 +371,88 @@
 }
 }
 },
+"locations": {
+"methods": {
+"get": {
+"description": "Gets information about a location.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}",
+"httpMethod": "GET",
+"id": "dns.locations.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "Resource name for the location.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+name}",
+"response": {
+"$ref": "Location"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only",
+"https://www.googleapis.com/auth/ndev.clouddns.readonly",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"list": {
+"description": "Lists information about the supported locations for this service. This method lists locations based on the resource scope provided in the ListLocationsRequest.name field: * **Global locations**: If `name` is empty, the method lists the public locations available to all projects. * **Project-specific locations**: If `name` follows the format `projects/{project}`, the method lists locations visible to that specific project. This includes public, private, or other project-specific locations enabled for the project. For gRPC and client library implementations, the resource name is passed as the `name` field. For direct service calls, the resource name is incorporated into the request path based on the specific service implementation and version.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations",
+"httpMethod": "GET",
+"id": "dns.locations.list",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"extraLocationTypes": {
+"description": "Optional. Do not use this field unless explicitly documented otherwise. This is primarily for internal usage.",
+"location": "query",
+"repeated": true,
+"type": "string"
+},
+"filter": {
+"description": "A filter to narrow down results to a preferred subset. The filtering language accepts strings like `\"displayName=tokyo\"`, and is documented in more detail in [AIP-160](https://google.aip.dev/160).",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "The resource that owns the locations collection, if applicable.",
+"location": "path",
+"pattern": "^projects/[^/]+$",
+"required": true,
+"type": "string"
+},
+"pageSize": {
+"description": "The maximum number of results to return. If not set, the service selects a default.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "A page token received from the `next_page_token` field in the response. Send that page token to receive the subsequent page.",
+"location": "query",
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+name}/locations",
+"response": {
+"$ref": "ListLocationsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only",
+"https://www.googleapis.com/auth/ndev.clouddns.readonly",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+}
+}
+},
 "managedZoneOperations": {
 "methods": {
 "get": {
@@ -804,6 +886,340 @@
 }
 }
 },
+"operations": {
+"methods": {
+"cancel": {
+"description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}:cancel",
+"httpMethod": "POST",
+"id": "dns.operations.cancel",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "The name of the operation resource to be cancelled.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+name}:cancel",
+"response": {
+"$ref": "Empty"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"delete": {
+"description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}",
+"httpMethod": "DELETE",
+"id": "dns.operations.delete",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "The name of the operation resource to be deleted.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+name}",
+"response": {
+"$ref": "Empty"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"get": {
+"description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/operations/{operationsId}",
+"httpMethod": "GET",
+"id": "dns.operations.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"name": {
+"description": "The name of the operation resource.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/operations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+name}",
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"list": {
+"description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/operations",
+"httpMethod": "GET",
+"id": "dns.operations.list",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"filter": {
+"description": "The standard list filter.",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "The name of the operation's parent resource.",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+},
+"pageSize": {
+"description": "The standard list page size.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "The standard list page token.",
+"location": "query",
+"type": "string"
+},
+"returnPartialSuccess": {
+"description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.",
+"location": "query",
+"type": "boolean"
+}
+},
+"path": "dns/v1beta2/{+name}/operations",
+"response": {
+"$ref": "GoogleLongrunningListOperationsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+}
+}
+},
+"outboundEndpoints": {
+"methods": {
+"create": {
+"description": "Creates a new Outbound Endpoint.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/outboundEndpoints",
+"httpMethod": "POST",
+"id": "dns.outboundEndpoints.create",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"clientOperationId": {
+"description": "For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.",
+"location": "query",
+"type": "string"
+},
+"outboundEndpointId": {
+"description": "Required. The ID to use for the OutboundEndpoint, which will become the final component of the OutboundEndpoint's resource name.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent project and location where this OutboundEndpoint will be created. Format: projects/{project}/locations/{location}",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "Optional. An optional request ID to identify requests.",
+"location": "query",
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+parent}/outboundEndpoints",
+"request": {
+"$ref": "OutboundEndpoint"
+},
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"delete": {
+"description": "Deletes a previously created Outbound Endpoint.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/outboundEndpoints/{outboundEndpointsId}",
+"httpMethod": "DELETE",
+"id": "dns.outboundEndpoints.delete",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"clientOperationId": {
+"description": "For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "Required. The name of the OutboundEndpoint to delete. Format: projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/outboundEndpoints/[^/]+$",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "Optional. An optional request ID to identify requests.",
+"location": "query",
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+name}",
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"get": {
+"description": "Fetches the representation of an existing Outbound Endpoint.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/outboundEndpoints/{outboundEndpointsId}",
+"httpMethod": "GET",
+"id": "dns.outboundEndpoints.get",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"clientOperationId": {
+"description": "For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "Required. The name of the OutboundEndpoint to retrieve. Format: projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/outboundEndpoints/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+name}",
+"response": {
+"$ref": "OutboundEndpoint"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only",
+"https://www.googleapis.com/auth/ndev.clouddns.readonly",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"list": {
+"description": "Enumerates all Outbound Endpoints associated with a project.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/outboundEndpoints",
+"httpMethod": "GET",
+"id": "dns.outboundEndpoints.list",
+"parameterOrder": [
+"parent"
+],
+"parameters": {
+"clientOperationId": {
+"location": "query",
+"type": "string"
+},
+"pageSize": {
+"description": "Optional. The maximum number of results to return.",
+"format": "int32",
+"location": "query",
+"type": "integer"
+},
+"pageToken": {
+"description": "Optional. A page token received from a previous List call.",
+"location": "query",
+"type": "string"
+},
+"parent": {
+"description": "Required. The parent project and location from which to list resources. Format: projects/{project}/locations/{location}",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+parent}/outboundEndpoints",
+"response": {
+"$ref": "ListOutboundEndpointsResponse"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/cloud-platform.read-only",
+"https://www.googleapis.com/auth/ndev.clouddns.readonly",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+},
+"patch": {
+"description": "Updates an existing Outbound Endpoint.",
+"flatPath": "dns/v1beta2/projects/{projectsId}/locations/{locationsId}/outboundEndpoints/{outboundEndpointsId}",
+"httpMethod": "PATCH",
+"id": "dns.outboundEndpoints.patch",
+"parameterOrder": [
+"name"
+],
+"parameters": {
+"clientOperationId": {
+"description": "For mutating operation requests only. An optional identifier specified by the client. Must be unique for operation resources in the Operations collection.",
+"location": "query",
+"type": "string"
+},
+"name": {
+"description": "Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/outboundEndpoints/[^/]+$",
+"required": true,
+"type": "string"
+},
+"requestId": {
+"description": "Optional. An optional request ID to identify requests.",
+"location": "query",
+"type": "string"
+},
+"updateMask": {
+"description": "Required. The list of fields to be updated.",
+"format": "google-fieldmask",
+"location": "query",
+"type": "string"
+}
+},
+"path": "dns/v1beta2/{+name}",
+"request": {
+"$ref": "OutboundEndpoint"
+},
+"response": {
+"$ref": "GoogleLongrunningOperation"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform",
+"https://www.googleapis.com/auth/ndev.clouddns.readwrite"
+]
+}
+}
+},
 "policies": {
 "methods": {
 "create": {
@@ -1821,7 +2237,7 @@
 }
 }
 },
-"revision": "20260915",
+"revision": "20261002",
 "rootUrl": "https://dns.googleapis.com/",
 "schemas": {
 "Change": {
@@ -2072,6 +2488,12 @@
 },
 "type": "object"
 },
+"Empty": {
+"description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }",
+"id": "Empty",
+"properties": {},
+"type": "object"
+},
 "Expr": {
 "description": "Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: \"Summary size limit\" description: \"Determines if a summary is less than 100 chars\" expression: \"document.summary.size() < 100\" Example (Equality): title: \"Requestor is owner\" description: \"Determines if requestor is the document owner\" expression: \"document.owner == request.auth.claims.email\" Example (Logic): title: \"Public documents\" description: \"Determine whether the document should be publicly visible\" expression: \"document.type != 'private' && document.type != 'internal'\" Example (Data Manipulation): title: \"Notification string\" description: \"Create a notification string with a timestamp.\" expression: \"'New message received at ' + string(document.create_time)\" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information.",
 "id": "Expr",
@@ -2263,6 +2685,31 @@
 },
 "type": "object"
 },
+"GoogleLongrunningListOperationsResponse": {
+"description": "The response message for Operations.ListOperations.",
+"id": "GoogleLongrunningListOperationsResponse",
+"properties": {
+"nextPageToken": {
+"description": "The standard List next-page token.",
+"type": "string"
+},
+"operations": {
+"description": "A list of operations that matches the specified filter in the request.",
+"items": {
+"$ref": "GoogleLongrunningOperation"
+},
+"type": "array"
+},
+"unreachable": {
+"description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.",
+"items": {
+"type": "string"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "GoogleLongrunningOperation": {
 "description": "This resource represents a long-running operation that is the result of a network API call.",
 "id": "GoogleLongrunningOperation",
@@ -2300,6 +2747,84 @@
 },
 "type": "object"
 },
+"ListLocationsResponse": {
+"description": "The response message for Locations.ListLocations.",
+"id": "ListLocationsResponse",
+"properties": {
+"locations": {
+"description": "A list of locations that matches the specified filter in the request.",
+"items": {
+"$ref": "Location"
+},
+"type": "array"
+},
+"nextPageToken": {
+"description": "The standard List next-page token.",
+"type": "string"
+}
+},
+"type": "object"
+},
+"ListOutboundEndpointsResponse": {
+"description": "Response message for OutboundEndpointsService.ListOutboundEndpoints",
+"id": "ListOutboundEndpointsResponse",
+"properties": {
+"nextPageToken": {
+"description": "A token to retrieve the next page of results. Set to empty if there are no remaining results.",
+"type": "string"
+},
+"outboundEndpoints": {
+"description": "The list of OutboundEndpoints.",
+"items": {
+"$ref": "OutboundEndpoint"
+},
+"type": "array"
+},
+"unreachable": {
+"description": "Unordered list. The resource names of the unreachable locations. Format: `projects/{project}/locations/{location}`",
+"items": {
+"type": "string"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
+"Location": {
+"description": "A resource that represents a Google Cloud location.",
+"id": "Location",
+"properties": {
+"displayName": {
+"description": "The friendly name for this location, typically a nearby city name. For example, \"Tokyo\".",
+"type": "string"
+},
+"labels": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Cross-service attributes for the location. For example {\"cloud.googleapis.com/region\": \"us-east1\"}",
+"type": "object"
+},
+"locationId": {
+"description": "The canonical id for this location. For example: `\"us-east1\"`.",
+"type": "string"
+},
+"metadata": {
+"additionalProperties": {
+"description": "Properties of the object. Contains field @type with type URL.",
+"type": "any"
+},
+"description": "Service-specific metadata. For example the available capacity at the given location.",
+"format": "google.protobuf.Any",
+"type": "object"
+},
+"name": {
+"description": "Resource name for the location, which may vary between implementations. For example: `\"projects/example-project/locations/us-east1\"`",
+"type": "string"
+}
+},
+"type": "object"
+},
 "ManagedZone": {
 "description": "A zone is a subtree of the DNS namespace under one administrative responsibility. A ManagedZone is a resource that represents a DNS zone hosted by the Cloud DNS service.",
 "id": "ManagedZone",
@@ -2458,6 +2983,13 @@
 "readOnly": true,
 "type": "string"
 },
+"outboundEndpoints": {
+"description": "The list of outbound endpoints to use for queries.",
+"items": {
+"$ref": "ManagedZoneForwardingConfigOutboundEndpoint"
+},
+"type": "array"
+},
 "targetNameServers": {
 "description": "List of target name servers to forward to. Cloud DNS selects the best available name server if more than one target is given.",
 "items": {
@@ -2503,6 +3035,21 @@
 },
 "type": "object"
 },
+"ManagedZoneForwardingConfigOutboundEndpoint": {
+"id": "ManagedZoneForwardingConfigOutboundEndpoint",
+"properties": {
+"kind": {
+"default": "dns#managedZoneForwardingConfigOutboundEndpoint",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}",
+"type": "string"
+}
+},
+"type": "object"
+},
 "ManagedZoneOperationsListResponse": {
 "id": "ManagedZoneOperationsListResponse",
 "properties": {
@@ -2760,6 +3307,110 @@
 },
 "type": "object"
 },
+"OperationMetadata": {
+"description": "Represents the metadata of the long-running operation.",
+"id": "OperationMetadata",
+"properties": {
+"apiVersion": {
+"description": "Output only. API version used to start the operation.",
+"readOnly": true,
+"type": "string"
+},
+"createTime": {
+"description": "Output only. The time the operation was created.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"endTime": {
+"description": "Output only. The time the operation finished running.",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"requestedCancellation": {
+"description": "Output only. Identifies whether the user has requested cancellation of the operation. Operations that have successfully been cancelled have Operation.error value with a google.rpc.Status.code of 1, corresponding to `Code.CANCELLED`.",
+"readOnly": true,
+"type": "boolean"
+},
+"statusMessage": {
+"description": "Output only. Human-readable status of the operation, if any.",
+"readOnly": true,
+"type": "string"
+},
+"target": {
+"description": "Output only. Server-defined resource path for the target of the operation.",
+"readOnly": true,
+"type": "string"
+},
+"verb": {
+"description": "Output only. Name of the verb executed by the operation.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
+"OutboundEndpoint": {
+"description": "An OutboundEndpoint is a regional resource to enable outbound forwarding from a private IP range in VPCs to on-premise or other networks.",
+"id": "OutboundEndpoint",
+"properties": {
+"annotations": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Optional. Annotations as key value pairs",
+"type": "object"
+},
+"createTime": {
+"description": "Output only. [Output only] Create time stamp",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
+"description": {
+"description": "Optional. User provided description.",
+"type": "string"
+},
+"endpointIp": {
+"description": "Required. Immutable. User provided IP address to use for outbound DNS forwarding. This address must be a free address on the subnetwork.",
+"type": "string"
+},
+"labels": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Optional. Labels as key value pairs",
+"type": "object"
+},
+"name": {
+"description": "Identifier. The resource name of the OutboundEndpoint. Format: `projects/{project}/locations/{location}/outboundEndpoints/{outboundEndpoint}`",
+"type": "string"
+},
+"network": {
+"description": "Required. Immutable. The VPC network containing the outbound endpoint, specified as full path.",
+"type": "string"
+},
+"subnetwork": {
+"description": "Required. Immutable. The subnetwork holding the endpoint_ip, specified as full path.",
+"type": "string"
+},
+"tags": {
+"additionalProperties": {
+"type": "string"
+},
+"description": "Optional. Tag bindings as key value pairs",
+"type": "object"
+},
+"updateTime": {
+"description": "Output only. [Output only] Update time stamp",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "PoliciesListResponse": {
 "id": "PoliciesListResponse",
 "properties": {
@@ -2857,6 +3508,13 @@
 "readOnly": true,
 "type": "string"
 },
+"outboundEndpoints": {
+"description": "The list of outbound endpoints to use for queries.",
+"items": {
+"$ref": "PolicyAlternativeNameServerConfigOutboundEndpoint"
+},
+"type": "array"
+},
 "targetNameServers": {
 "description": "Sets an alternative name server for the associated networks. When specified, all DNS queries are forwarded to a name server that you choose. Names such as .internal are not available when an alternative name server is specified.",
 "items": {
@@ -2867,6 +3525,21 @@
 },
 "type": "object"
 },
+"PolicyAlternativeNameServerConfigOutboundEndpoint": {
+"id": "PolicyAlternativeNameServerConfigOutboundEndpoint",
+"properties": {
+"kind": {
+"default": "dns#policyAlternativeNameServerConfigOutboundEndpoint",
+"readOnly": true,
+"type": "string"
+},
+"name": {
+"description": "Specified as a resource path including project and region. This should be formatted like projects/{project}/locations/{location}/outboundEndpoints/{endpoint}",
+"type": "string"
+}
+},
+"type": "object"
+},
 "PolicyAlternativeNameServerConfigTargetNameServer": {
 "id": "PolicyAlternativeNameServerConfigTargetNameServer",
 "properties": {
@@ -3042,6 +3715,16 @@
 "format": "int32",
 "type": "integer"
 },
+"outboundEndpointsPerManagedZone": {
+"description": "Maximum allowed number of outbound endpoints per managed zone.",
+"format": "int32",
+"type": "integer"
+},
+"outboundEndpointsPerPolicy": {
+"description": "Maximum allowed number of outbound endpoints per policy.",
+"format": "int32",
+"type": "integer"
+},
 "peeringZonesPerTargetNetwork": {
 "description": "Maximum allowed number of consumer peering zones per target network owned by this producer project",
 "format": "int32",

From 72e68471f0fa5d031b02616b63e3305b6a429420 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 16/32] feat(documentai): update the api

#### documentai:v1

The following keys were added:
- schemas.GoogleCloudDocumentaiUiv1beta3GroundingSettings (Total Keys: 3)
- schemas.GoogleCloudDocumentaiUiv1beta3ProcessorVersion.properties.groundingSettings (Total Keys: 2)
- schemas.GoogleCloudDocumentaiV1beta3GroundingSettings (Total Keys: 3)
- schemas.GoogleCloudDocumentaiV1beta3ProcessorVersion.properties.groundingSettings (Total Keys: 2)

#### documentai:v1beta3

The following keys were added:
- schemas.GoogleCloudDocumentaiUiv1beta3GroundingSettings (Total Keys: 3)
- schemas.GoogleCloudDocumentaiUiv1beta3ProcessorVersion.properties.groundingSettings (Total Keys: 2)
- schemas.GoogleCloudDocumentaiV1beta3GroundingSettings (Total Keys: 3)
- schemas.GoogleCloudDocumentaiV1beta3ProcessorVersion.properties.groundingSettings (Total Keys: 2)
- schemas.GoogleCloudDocumentaiV1beta3ProcessorVersionOverrides (Total Keys: 3)
- schemas.GoogleCloudDocumentaiV1beta3TrainProcessorVersionRequest.properties.processorVersionOverrides.$ref (Total Keys: 1)
---
 ...ocations.processors.processorVersions.html | 14 ++++
 .../documents/documentai.v1.json              | 58 ++++++++++++++-
 .../documents/documentai.v1beta3.json         | 73 ++++++++++++++++++-
 3 files changed, 143 insertions(+), 2 deletions(-)

diff --git a/docs/dyn/documentai_v1beta3.projects.locations.processors.processorVersions.html b/docs/dyn/documentai_v1beta3.projects.locations.processors.processorVersions.html
index 517a9263ac..eb453a7bc6 100644
--- a/docs/dyn/documentai_v1beta3.projects.locations.processors.processorVersions.html
+++ b/docs/dyn/documentai_v1beta3.projects.locations.processors.processorVersions.html
@@ -500,6 +500,9 @@ 
Method Details

     },
   },
   "googleManaged": True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
+  "groundingSettings": { # Settings for grounding extractions. # Output only. The grounding settings of the processor version. This can only be set using TrainProcessorVersionRequest to override the default grounding settings.
+    "groundingType": "A String", # The type of grounding to apply.
+  },
   "kmsKeyName": "A String", # Output only. The KMS key name used for encryption.
   "kmsKeyVersionName": "A String", # Output only. The KMS key version with which data is encrypted.
   "latestEvaluation": { # Gives a short summary of an evaluation, and links to the evaluation itself. # Output only. The most recently invoked evaluation for the processor version.
@@ -671,6 +674,9 @@ 
Method Details

         },
       },
       "googleManaged": True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
+      "groundingSettings": { # Settings for grounding extractions. # Output only. The grounding settings of the processor version. This can only be set using TrainProcessorVersionRequest to override the default grounding settings.
+        "groundingType": "A String", # The type of grounding to apply.
+      },
       "kmsKeyName": "A String", # Output only. The KMS key name used for encryption.
       "kmsKeyVersionName": "A String", # Output only. The KMS key version with which data is encrypted.
       "latestEvaluation": { # Gives a short summary of an evaluation, and links to the evaluation itself. # Output only. The most recently invoked evaluation for the processor version.
@@ -4454,6 +4460,9 @@ 
Method Details

       },
     },
     "googleManaged": True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
+    "groundingSettings": { # Settings for grounding extractions. # Output only. The grounding settings of the processor version. This can only be set using TrainProcessorVersionRequest to override the default grounding settings.
+      "groundingType": "A String", # The type of grounding to apply.
+    },
     "kmsKeyName": "A String", # Output only. The KMS key name used for encryption.
     "kmsKeyVersionName": "A String", # Output only. The KMS key version with which data is encrypted.
     "latestEvaluation": { # Gives a short summary of an evaluation, and links to the evaluation itself. # Output only. The most recently invoked evaluation for the processor version.
@@ -4492,6 +4501,11 @@ 
Method Details

     "satisfiesPzs": True or False, # Output only. Reserved for future use.
     "state": "A String", # Output only. The state of the processor version.
   },
+  "processorVersionOverrides": { # Overrides to apply when creating a new processor version. # Optional. Options to override structures in the base processor version.
+    "groundingSettings": { # Settings for grounding extractions. # Optional. Grounding settings to override the default values.
+      "groundingType": "A String", # The type of grounding to apply.
+    },
+  },
 }
 
   x__xgafv: string, V1 error format.
diff --git a/googleapiclient/discovery_cache/documents/documentai.v1.json b/googleapiclient/discovery_cache/documents/documentai.v1.json
index 3604dad5d6..e647540cfa 100644
--- a/googleapiclient/discovery_cache/documents/documentai.v1.json
+++ b/googleapiclient/discovery_cache/documents/documentai.v1.json
@@ -1436,7 +1436,7 @@
 }
 }
 },
-"revision": "20260706",
+"revision": "20260929",
 "rootUrl": "https://documentai.googleapis.com/",
 "schemas": {
 "CloudAiDocumentaiLabHifiaToolsValidationValidatorInput": {
@@ -2528,6 +2528,29 @@
 },
 "type": "object"
 },
+"GoogleCloudDocumentaiUiv1beta3GroundingSettings": {
+"description": "Settings for grounding extractions.",
+"id": "GoogleCloudDocumentaiUiv1beta3GroundingSettings",
+"properties": {
+"groundingType": {
+"description": "The type of grounding to apply.",
+"enum": [
+"GROUNDING_TYPE_UNSPECIFIED",
+"HARD",
+"OCR_RELAXED",
+"NO_GROUNDING"
+],
+"enumDescriptions": [
+"The default value. Behaves like HARD.",
+"Requires exact match with OCR text for extractions.",
+"Allows for minor discrepancies between LLM output and OCR text.",
+"LLM extractions are used without strict OCR matching. Bounding boxes may be approximated or absent."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudDocumentaiUiv1beta3HumanReviewLabelingMetadata": {
 "description": "Metadata for human review labeling config.",
 "id": "GoogleCloudDocumentaiUiv1beta3HumanReviewLabelingMetadata",
@@ -2776,6 +2799,11 @@
 "readOnly": true,
 "type": "boolean"
 },
+"groundingSettings": {
+"$ref": "GoogleCloudDocumentaiUiv1beta3GroundingSettings",
+"description": "Output only. The grounding settings of the processor version. This can only be set using TrainProcessorVersionRequest to override the default grounding settings.",
+"readOnly": true
+},
 "kmsKeyName": {
 "description": "Output only. The KMS key name used for encryption.",
 "readOnly": true,
@@ -7942,6 +7970,29 @@ true
 },
 "type": "object"
 },
+"GoogleCloudDocumentaiV1beta3GroundingSettings": {
+"description": "Settings for grounding extractions.",
+"id": "GoogleCloudDocumentaiV1beta3GroundingSettings",
+"properties": {
+"groundingType": {
+"description": "The type of grounding to apply.",
+"enum": [
+"GROUNDING_TYPE_UNSPECIFIED",
+"HARD",
+"OCR_RELAXED",
+"NO_GROUNDING"
+],
+"enumDescriptions": [
+"The default value. Behaves like HARD.",
+"Requires exact match with OCR text for extractions.",
+"Allows for minor discrepancies between LLM output and OCR text.",
+"LLM extractions are used without strict OCR matching. Bounding boxes may be approximated or absent."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudDocumentaiV1beta3HumanReviewStatus": {
 "description": "The status of human review on a processed document.",
 "id": "GoogleCloudDocumentaiV1beta3HumanReviewStatus",
@@ -8187,6 +8238,11 @@ true
 "readOnly": true,
 "type": "boolean"
 },
+"groundingSettings": {
+"$ref": "GoogleCloudDocumentaiV1beta3GroundingSettings",
+"description": "Output only. The grounding settings of the processor version. This can only be set using TrainProcessorVersionRequest to override the default grounding settings.",
+"readOnly": true
+},
 "kmsKeyName": {
 "description": "Output only. The KMS key name used for encryption.",
 "readOnly": true,
diff --git a/googleapiclient/discovery_cache/documents/documentai.v1beta3.json b/googleapiclient/discovery_cache/documents/documentai.v1beta3.json
index ccbd02b479..6d76512532 100644
--- a/googleapiclient/discovery_cache/documents/documentai.v1beta3.json
+++ b/googleapiclient/discovery_cache/documents/documentai.v1beta3.json
@@ -1678,7 +1678,7 @@
 }
 }
 },
-"revision": "20260706",
+"revision": "20260929",
 "rootUrl": "https://documentai.googleapis.com/",
 "schemas": {
 "CloudAiDocumentaiLabHifiaToolsValidationValidatorInput": {
@@ -2770,6 +2770,29 @@
 },
 "type": "object"
 },
+"GoogleCloudDocumentaiUiv1beta3GroundingSettings": {
+"description": "Settings for grounding extractions.",
+"id": "GoogleCloudDocumentaiUiv1beta3GroundingSettings",
+"properties": {
+"groundingType": {
+"description": "The type of grounding to apply.",
+"enum": [
+"GROUNDING_TYPE_UNSPECIFIED",
+"HARD",
+"OCR_RELAXED",
+"NO_GROUNDING"
+],
+"enumDescriptions": [
+"The default value. Behaves like HARD.",
+"Requires exact match with OCR text for extractions.",
+"Allows for minor discrepancies between LLM output and OCR text.",
+"LLM extractions are used without strict OCR matching. Bounding boxes may be approximated or absent."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudDocumentaiUiv1beta3HumanReviewLabelingMetadata": {
 "description": "Metadata for human review labeling config.",
 "id": "GoogleCloudDocumentaiUiv1beta3HumanReviewLabelingMetadata",
@@ -3018,6 +3041,11 @@
 "readOnly": true,
 "type": "boolean"
 },
+"groundingSettings": {
+"$ref": "GoogleCloudDocumentaiUiv1beta3GroundingSettings",
+"description": "Output only. The grounding settings of the processor version. This can only be set using TrainProcessorVersionRequest to override the default grounding settings.",
+"readOnly": true
+},
 "kmsKeyName": {
 "description": "Output only. The KMS key name used for encryption.",
 "readOnly": true,
@@ -7111,6 +7139,29 @@ true
 },
 "type": "object"
 },
+"GoogleCloudDocumentaiV1beta3GroundingSettings": {
+"description": "Settings for grounding extractions.",
+"id": "GoogleCloudDocumentaiV1beta3GroundingSettings",
+"properties": {
+"groundingType": {
+"description": "The type of grounding to apply.",
+"enum": [
+"GROUNDING_TYPE_UNSPECIFIED",
+"HARD",
+"OCR_RELAXED",
+"NO_GROUNDING"
+],
+"enumDescriptions": [
+"The default value. Behaves like HARD.",
+"Requires exact match with OCR text for extractions.",
+"Allows for minor discrepancies between LLM output and OCR text.",
+"LLM extractions are used without strict OCR matching. Bounding boxes may be approximated or absent."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudDocumentaiV1beta3HumanReviewStatus": {
 "description": "The status of human review on a processed document.",
 "id": "GoogleCloudDocumentaiV1beta3HumanReviewStatus",
@@ -7984,6 +8035,11 @@ true
 "readOnly": true,
 "type": "boolean"
 },
+"groundingSettings": {
+"$ref": "GoogleCloudDocumentaiV1beta3GroundingSettings",
+"description": "Output only. The grounding settings of the processor version. This can only be set using TrainProcessorVersionRequest to override the default grounding settings.",
+"readOnly": true
+},
 "kmsKeyName": {
 "description": "Output only. The KMS key name used for encryption.",
 "readOnly": true,
@@ -8145,6 +8201,17 @@ true
 },
 "type": "object"
 },
+"GoogleCloudDocumentaiV1beta3ProcessorVersionOverrides": {
+"description": "Overrides to apply when creating a new processor version.",
+"id": "GoogleCloudDocumentaiV1beta3ProcessorVersionOverrides",
+"properties": {
+"groundingSettings": {
+"$ref": "GoogleCloudDocumentaiV1beta3GroundingSettings",
+"description": "Optional. Grounding settings to override the default values."
+}
+},
+"type": "object"
+},
 "GoogleCloudDocumentaiV1beta3PropertyMetadata": {
 "description": "Metadata about a property.",
 "id": "GoogleCloudDocumentaiV1beta3PropertyMetadata",
@@ -8546,6 +8613,10 @@ true
 "processorVersion": {
 "$ref": "GoogleCloudDocumentaiV1beta3ProcessorVersion",
 "description": "Required. The processor version to be created."
+},
+"processorVersionOverrides": {
+"$ref": "GoogleCloudDocumentaiV1beta3ProcessorVersionOverrides",
+"description": "Optional. Options to override structures in the base processor version."
 }
 },
 "type": "object"

From 50ed14be22b3e11781a69a684ceba675c945bb42 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 17/32] feat(file): update the api

#### file:v1beta1

The following keys were added:
- resources.projects.resources.locations.resources.volumePools.resources.volumes.methods.createFromSource (Total Keys: 12)
- resources.projects.resources.locations.resources.volumePools.resources.volumes.methods.directCreate (Total Keys: 14)
- resources.projects.resources.locations.resources.volumePools.resources.volumes.methods.directDelete (Total Keys: 12)
- resources.projects.resources.locations.resources.volumePools.resources.volumes.methods.patch (Total Keys: 15)
- resources.projects.resources.locations.resources.volumePools.resources.volumes.methods.unfreeze (Total Keys: 12)
- schemas.CreateFromSourceRequest (Total Keys: 8)
- schemas.DeleteVolumeRequest (Total Keys: 2)
- schemas.UnfreezeVolumeRequest (Total Keys: 6)
- schemas.Volume.properties.ipAcls (Total Keys: 2)
- schemas.Volume.properties.quotaMib (Total Keys: 2)
- schemas.Volume.properties.state.type (Total Keys: 1)
- schemas.VolumePool.properties.activeVolumeCount (Total Keys: 2)
- schemas.VolumePool.properties.state (Total Keys: 2)
---
 ...1beta1.projects.locations.volumePools.html |  16 +-
 ...rojects.locations.volumePools.volumes.html | 381 ++++++++++++++++++
 .../documents/file.v1beta1.json               | 259 +++++++++++-
 3 files changed, 650 insertions(+), 6 deletions(-)

diff --git a/docs/dyn/file_v1beta1.projects.locations.volumePools.html b/docs/dyn/file_v1beta1.projects.locations.volumePools.html
index 8f14f566e2..a3610b7366 100644
--- a/docs/dyn/file_v1beta1.projects.locations.volumePools.html
+++ b/docs/dyn/file_v1beta1.projects.locations.volumePools.html
@@ -116,15 +116,17 @@ 
Method Details

     The object takes the form of:
 
 { # VolumePool representation of a Cloud Filestore volume pool.
+  "activeVolumeCount": 42, # Optional. The number of active volumes. Default: 100.
   "activeVolumeIops": 42, # Optional. The number of IOPs provisioned per active volume.
   "createTime": "A String", # Output only. The time when the volume pool was created.
-  "defaultVolumeQuotaMib": 42, # Optional. The default quota per volume in MiB. Default: 1024 MiB.
+  "defaultVolumeQuotaMib": 42, # Optional. The default quota per volume in MiB. Must be between 100 MiB and 102400 MiB (100 GiB). Default: 1024 MiB.
   "description": "A String", # Optional. A description of the volume pool with 2048 characters or less.
   "labels": { # Optional. Resource labels to represent user provided metadata.
     "a_key": "A String",
   },
   "name": "A String", # Identifier. The resource name of the volume pool, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}`.
   "network": "A String", # Required. The VPC network to which the VolumePool should be attached. Only Private Service Connect (PSC) is supported.
+  "state": "A String", # Output only. The state of the volume pool.
   "uid": "A String", # Output only. System-assigned unique identifier for the volume pool.
 }
 
@@ -208,15 +210,17 @@ 
Method Details

   An object of the form:
 
     { # VolumePool representation of a Cloud Filestore volume pool.
+  "activeVolumeCount": 42, # Optional. The number of active volumes. Default: 100.
   "activeVolumeIops": 42, # Optional. The number of IOPs provisioned per active volume.
   "createTime": "A String", # Output only. The time when the volume pool was created.
-  "defaultVolumeQuotaMib": 42, # Optional. The default quota per volume in MiB. Default: 1024 MiB.
+  "defaultVolumeQuotaMib": 42, # Optional. The default quota per volume in MiB. Must be between 100 MiB and 102400 MiB (100 GiB). Default: 1024 MiB.
   "description": "A String", # Optional. A description of the volume pool with 2048 characters or less.
   "labels": { # Optional. Resource labels to represent user provided metadata.
     "a_key": "A String",
   },
   "name": "A String", # Identifier. The resource name of the volume pool, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}`.
   "network": "A String", # Required. The VPC network to which the VolumePool should be attached. Only Private Service Connect (PSC) is supported.
+  "state": "A String", # Output only. The state of the volume pool.
   "uid": "A String", # Output only. System-assigned unique identifier for the volume pool.
 }
@@ -246,15 +250,17 @@

Method Details

], "volumePools": [ # Unordered list. A list of volume pools in the project for the specified location. { # VolumePool representation of a Cloud Filestore volume pool. + "activeVolumeCount": 42, # Optional. The number of active volumes. Default: 100. "activeVolumeIops": 42, # Optional. The number of IOPs provisioned per active volume. "createTime": "A String", # Output only. The time when the volume pool was created. - "defaultVolumeQuotaMib": 42, # Optional. The default quota per volume in MiB. Default: 1024 MiB. + "defaultVolumeQuotaMib": 42, # Optional. The default quota per volume in MiB. Must be between 100 MiB and 102400 MiB (100 GiB). Default: 1024 MiB. "description": "A String", # Optional. A description of the volume pool with 2048 characters or less. "labels": { # Optional. Resource labels to represent user provided metadata. "a_key": "A String", }, "name": "A String", # Identifier. The resource name of the volume pool, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}`. "network": "A String", # Required. The VPC network to which the VolumePool should be attached. Only Private Service Connect (PSC) is supported. + "state": "A String", # Output only. The state of the volume pool. "uid": "A String", # Output only. System-assigned unique identifier for the volume pool. }, ], @@ -285,15 +291,17 @@

Method Details

The object takes the form of: { # VolumePool representation of a Cloud Filestore volume pool. + "activeVolumeCount": 42, # Optional. The number of active volumes. Default: 100. "activeVolumeIops": 42, # Optional. The number of IOPs provisioned per active volume. "createTime": "A String", # Output only. The time when the volume pool was created. - "defaultVolumeQuotaMib": 42, # Optional. The default quota per volume in MiB. Default: 1024 MiB. + "defaultVolumeQuotaMib": 42, # Optional. The default quota per volume in MiB. Must be between 100 MiB and 102400 MiB (100 GiB). Default: 1024 MiB. "description": "A String", # Optional. A description of the volume pool with 2048 characters or less. "labels": { # Optional. Resource labels to represent user provided metadata. "a_key": "A String", }, "name": "A String", # Identifier. The resource name of the volume pool, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}`. "network": "A String", # Required. The VPC network to which the VolumePool should be attached. Only Private Service Connect (PSC) is supported. + "state": "A String", # Output only. The state of the volume pool. "uid": "A String", # Output only. System-assigned unique identifier for the volume pool. } diff --git a/docs/dyn/file_v1beta1.projects.locations.volumePools.volumes.html b/docs/dyn/file_v1beta1.projects.locations.volumePools.volumes.html index b17160ecef..035f625be4 100644 --- a/docs/dyn/file_v1beta1.projects.locations.volumePools.volumes.html +++ b/docs/dyn/file_v1beta1.projects.locations.volumePools.volumes.html @@ -80,9 +80,18 @@

Instance Methods

create(parent, body=None, volumeId=None, x__xgafv=None)

Creates a volume.

+

+ createFromSource(parent, body=None, x__xgafv=None)

+

Creates a volume in a volume pool from an existing data source (such as a Filestore backup).

delete(name, x__xgafv=None)

Deletes a volume.

+

+ directCreate(parent, body=None, volumeId=None, x__xgafv=None)

+

Creates a volume directly on the CLH, bypassing CCFE. This is a temporary PoC that will be used for testing and removed.

+

+ directDelete(name, body=None, x__xgafv=None)

+

Deletes a volume directly on the CLH, bypassing CCFE. This is a temporary PoC that will be used for testing and removed.

get(name, x__xgafv=None)

Gets the details of a specific volume.

@@ -92,6 +101,12 @@

Instance Methods

list_next(previous_request, previous_response)

Retrieves the next page of results.

+

+ patch(name, body=None, updateMask=None, x__xgafv=None)

+

Updates the settings of a specific volume.

+

+ unfreeze(name, body=None, x__xgafv=None)

+

Unfreezes a volume.

Method Details

close() @@ -110,6 +125,21 @@

Method Details

{ # Volume representation of a Cloud Filestore volume. "createTime": "A String", # Output only. The time when the volume was created. "description": "A String", # Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected. + "ipAcls": [ # Optional. User-defined permissions protecting mount points. + { # NFS export options specifications. + "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE. + "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings. + "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings. + "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions. + "A String", + ], + "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field. + "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS. + "A String", + ], + "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH. + }, + ], "labels": { # Optional. Resource labels to represent user provided metadata. "a_key": "A String", }, @@ -118,6 +148,8 @@

Method Details

"mountName": "A String", # Output only. The mount name of the volume. Must be 63 characters or less and consist of uppercase or lowercase letters, numbers, and underscores. }, "name": "A String", # Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`. + "quotaMib": "A String", # Optional. The maximum size of the volume in mebibytes (MiB). + "state": "A String", # Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`. } volumeId: string, Required. The ID to use for the volume. The ID must be unique within the specified volume pool. @@ -132,6 +164,21 @@

Method Details

{ # Volume representation of a Cloud Filestore volume. "createTime": "A String", # Output only. The time when the volume was created. "description": "A String", # Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected. + "ipAcls": [ # Optional. User-defined permissions protecting mount points. + { # NFS export options specifications. + "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE. + "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings. + "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings. + "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions. + "A String", + ], + "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field. + "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS. + "A String", + ], + "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH. + }, + ], "labels": { # Optional. Resource labels to represent user provided metadata. "a_key": "A String", }, @@ -140,6 +187,67 @@

Method Details

"mountName": "A String", # Output only. The mount name of the volume. Must be 63 characters or less and consist of uppercase or lowercase letters, numbers, and underscores. }, "name": "A String", # Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`. + "quotaMib": "A String", # Optional. The maximum size of the volume in mebibytes (MiB). + "state": "A String", # Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`. +} +
+ +
+ createFromSource(parent, body=None, x__xgafv=None) + 
Creates a volume in a volume pool from an existing data source (such as a Filestore backup).
+
+Args:
+  parent: string, Required. The parent resource where this volume will be created. Format: projects/{project}/locations/{location}/volumePools/{volume_pool} (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request for creating a volume from an existing data source (such as a backup).
+  "backup": "A String", # The resource name of the backup to create from. Format: projects/{project}/locations/{location}/backups/{backup}
+  "ipAcls": [ # Optional. IP ACLs defining permissions/ACLs to apply to the newly created volume.
+    { # NFS export options specifications.
+      "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE.
+      "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions.
+        "A String",
+      ],
+      "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field.
+      "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS.
+        "A String",
+      ],
+      "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH.
+    },
+  ],
+  "quota": "A String", # Optional. The limit for how much data can be written to this volume, in MiB.
+  "volumeId": "A String", # Required. Unique identifier for the volume which also appears in the volumes resource name.
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
 }
@@ -161,6 +269,109 @@

Method Details

} +
+ directCreate(parent, body=None, volumeId=None, x__xgafv=None) + 
Creates a volume directly on the CLH, bypassing CCFE. This is a temporary PoC that will be used for testing and removed.
+
+Args:
+  parent: string, Required. The parent volume pool path, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}`. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Volume representation of a Cloud Filestore volume.
+  "createTime": "A String", # Output only. The time when the volume was created.
+  "description": "A String", # Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected.
+  "ipAcls": [ # Optional. User-defined permissions protecting mount points.
+    { # NFS export options specifications.
+      "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE.
+      "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions.
+        "A String",
+      ],
+      "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field.
+      "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS.
+        "A String",
+      ],
+      "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH.
+    },
+  ],
+  "labels": { # Optional. Resource labels to represent user provided metadata.
+    "a_key": "A String",
+  },
+  "mountPoint": { # Mount details for a volume. # Output only. The mount point of the volume.
+    "ipAddress": "A String", # Output only. The IP address of the physical Filestore instance hosting the volume.
+    "mountName": "A String", # Output only. The mount name of the volume. Must be 63 characters or less and consist of uppercase or lowercase letters, numbers, and underscores.
+  },
+  "name": "A String", # Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.
+  "quotaMib": "A String", # Optional. The maximum size of the volume in mebibytes (MiB).
+  "state": "A String", # Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`.
+}
+
+  volumeId: string, Required. The ID to use for the volume. The ID must be unique within the specified volume pool.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Volume representation of a Cloud Filestore volume.
+  "createTime": "A String", # Output only. The time when the volume was created.
+  "description": "A String", # Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected.
+  "ipAcls": [ # Optional. User-defined permissions protecting mount points.
+    { # NFS export options specifications.
+      "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE.
+      "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions.
+        "A String",
+      ],
+      "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field.
+      "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS.
+        "A String",
+      ],
+      "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH.
+    },
+  ],
+  "labels": { # Optional. Resource labels to represent user provided metadata.
+    "a_key": "A String",
+  },
+  "mountPoint": { # Mount details for a volume. # Output only. The mount point of the volume.
+    "ipAddress": "A String", # Output only. The IP address of the physical Filestore instance hosting the volume.
+    "mountName": "A String", # Output only. The mount name of the volume. Must be 63 characters or less and consist of uppercase or lowercase letters, numbers, and underscores.
+  },
+  "name": "A String", # Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.
+  "quotaMib": "A String", # Optional. The maximum size of the volume in mebibytes (MiB).
+  "state": "A String", # Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`.
+}
+
+ +
+ directDelete(name, body=None, x__xgafv=None) + 
Deletes a volume directly on the CLH, bypassing CCFE. This is a temporary PoC that will be used for testing and removed.
+
+Args:
+  name: string, Required. The volume resource name, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # DeleteVolumeRequest deletes a volume.
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
+}
+
+
get(name, x__xgafv=None) 
Gets the details of a specific volume.
@@ -178,6 +389,21 @@ 
Method Details

     { # Volume representation of a Cloud Filestore volume.
   "createTime": "A String", # Output only. The time when the volume was created.
   "description": "A String", # Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected.
+  "ipAcls": [ # Optional. User-defined permissions protecting mount points.
+    { # NFS export options specifications.
+      "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE.
+      "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions.
+        "A String",
+      ],
+      "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field.
+      "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS.
+        "A String",
+      ],
+      "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH.
+    },
+  ],
   "labels": { # Optional. Resource labels to represent user provided metadata.
     "a_key": "A String",
   },
@@ -186,6 +412,8 @@ 
Method Details

     "mountName": "A String", # Output only. The mount name of the volume. Must be 63 characters or less and consist of uppercase or lowercase letters, numbers, and underscores.
   },
   "name": "A String", # Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.
+  "quotaMib": "A String", # Optional. The maximum size of the volume in mebibytes (MiB).
+  "state": "A String", # Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`.
 }
@@ -216,6 +444,21 @@

Method Details

{ # Volume representation of a Cloud Filestore volume. "createTime": "A String", # Output only. The time when the volume was created. "description": "A String", # Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected. + "ipAcls": [ # Optional. User-defined permissions protecting mount points. + { # NFS export options specifications. + "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE. + "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings. + "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings. + "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions. + "A String", + ], + "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field. + "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS. + "A String", + ], + "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH. + }, + ], "labels": { # Optional. Resource labels to represent user provided metadata. "a_key": "A String", }, @@ -224,6 +467,8 @@

Method Details

"mountName": "A String", # Output only. The mount name of the volume. Must be 63 characters or less and consist of uppercase or lowercase letters, numbers, and underscores. }, "name": "A String", # Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`. + "quotaMib": "A String", # Optional. The maximum size of the volume in mebibytes (MiB). + "state": "A String", # Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`. }, ], } @@ -243,4 +488,140 @@

Method Details

+
+ patch(name, body=None, updateMask=None, x__xgafv=None) + 
Updates the settings of a specific volume.
+
+Args:
+  name: string, Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Volume representation of a Cloud Filestore volume.
+  "createTime": "A String", # Output only. The time when the volume was created.
+  "description": "A String", # Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected.
+  "ipAcls": [ # Optional. User-defined permissions protecting mount points.
+    { # NFS export options specifications.
+      "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE.
+      "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions.
+        "A String",
+      ],
+      "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field.
+      "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS.
+        "A String",
+      ],
+      "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH.
+    },
+  ],
+  "labels": { # Optional. Resource labels to represent user provided metadata.
+    "a_key": "A String",
+  },
+  "mountPoint": { # Mount details for a volume. # Output only. The mount point of the volume.
+    "ipAddress": "A String", # Output only. The IP address of the physical Filestore instance hosting the volume.
+    "mountName": "A String", # Output only. The mount name of the volume. Must be 63 characters or less and consist of uppercase or lowercase letters, numbers, and underscores.
+  },
+  "name": "A String", # Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.
+  "quotaMib": "A String", # Optional. The maximum size of the volume in mebibytes (MiB).
+  "state": "A String", # Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`.
+}
+
+  updateMask: string, Required. Mask of fields to update. At least one path must be supplied in this field.
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Volume representation of a Cloud Filestore volume.
+  "createTime": "A String", # Output only. The time when the volume was created.
+  "description": "A String", # Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected.
+  "ipAcls": [ # Optional. User-defined permissions protecting mount points.
+    { # NFS export options specifications.
+      "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE.
+      "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions.
+        "A String",
+      ],
+      "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field.
+      "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS.
+        "A String",
+      ],
+      "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH.
+    },
+  ],
+  "labels": { # Optional. Resource labels to represent user provided metadata.
+    "a_key": "A String",
+  },
+  "mountPoint": { # Mount details for a volume. # Output only. The mount point of the volume.
+    "ipAddress": "A String", # Output only. The IP address of the physical Filestore instance hosting the volume.
+    "mountName": "A String", # Output only. The mount name of the volume. Must be 63 characters or less and consist of uppercase or lowercase letters, numbers, and underscores.
+  },
+  "name": "A String", # Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.
+  "quotaMib": "A String", # Optional. The maximum size of the volume in mebibytes (MiB).
+  "state": "A String", # Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`.
+}
+
+ +
+ unfreeze(name, body=None, x__xgafv=None) + 
Unfreezes a volume.
+
+Args:
+  name: string, Required. The name of the volume to unfreeze. Format: `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Request for unfreezing a volume.
+  "ipAcls": [ # Optional. IP ACLs defining permissions/ACLs to apply to the unfrozen volume
+    { # NFS export options specifications.
+      "accessMode": "A String", # Either READ_ONLY, for allowing only read requests on the exported directory, or READ_WRITE, for allowing both read and write requests. The default is READ_WRITE.
+      "anonGid": "A String", # An integer representing the anonymous group id with a default value of 65534. Anon_gid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "anonUid": "A String", # An integer representing the anonymous user id with a default value of 65534. Anon_uid may only be set with squash_mode of ROOT_SQUASH. An error will be returned if this field is specified for other squash_mode settings.
+      "ipRanges": [ # List of either an IPv4 addresses in the format `{octet1}.{octet2}.{octet3}.{octet4}` or CIDR ranges in the format `{octet1}.{octet2}.{octet3}.{octet4}/{mask size}` which may mount the file share. Overlapping IP ranges are not allowed, both within and across NfsExportOptions. An error will be returned. The limit is 64 IP ranges/addresses for each FileShareConfig among all NfsExportOptions.
+        "A String",
+      ],
+      "network": "A String", # Optional. The source VPC network for ip_ranges. Required for instances using Private Service Connect, optional otherwise. If provided, must be the same network specified in the `NetworkConfig.network` field.
+      "securityFlavors": [ # The security flavors allowed for mount operations. The default is AUTH_SYS.
+        "A String",
+      ],
+      "squashMode": "A String", # Either NO_ROOT_SQUASH, for allowing root access on the exported directory, or ROOT_SQUASH, for not allowing root access. The default is NO_ROOT_SQUASH.
+    },
+  ],
+  "quota": "A String", # Optional. The limit for how much data can be written to this volume, in MiB.
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # This resource represents a long-running operation that is the result of a network API call.
+  "done": True or False, # If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.
+  "error": { # The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
+    "code": 42, # The status code, which should be an enum value of google.rpc.Code.
+    "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
+      {
+        "a_key": "", # Properties of the object. Contains field @type with type URL.
+      },
+    ],
+    "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
+  },
+  "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+  "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.
+  "response": { # The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.
+    "a_key": "", # Properties of the object. Contains field @type with type URL.
+  },
+}
+
+ \ No newline at end of file diff --git a/googleapiclient/discovery_cache/documents/file.v1beta1.json b/googleapiclient/discovery_cache/documents/file.v1beta1.json index a333a69e57..3c7bac953c 100644 --- a/googleapiclient/discovery_cache/documents/file.v1beta1.json +++ b/googleapiclient/discovery_cache/documents/file.v1beta1.json @@ -1630,6 +1630,34 @@ "https://www.googleapis.com/auth/cloud-platform" ] }, +"createFromSource": { +"description": "Creates a volume in a volume pool from an existing data source (such as a Filestore backup).", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/volumePools/{volumePoolsId}/volumes:createFromSource", +"httpMethod": "POST", +"id": "file.projects.locations.volumePools.volumes.createFromSource", +"parameterOrder": [ +"parent" +], +"parameters": { +"parent": { +"description": "Required. The parent resource where this volume will be created. Format: projects/{project}/locations/{location}/volumePools/{volume_pool}", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/volumePools/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+parent}/volumes:createFromSource", +"request": { +"$ref": "CreateFromSourceRequest" +}, +"response": { +"$ref": "Operation" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, "delete": { "description": "Deletes a volume.", "flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/volumePools/{volumePoolsId}/volumes/{volumesId}", @@ -1655,6 +1683,67 @@ "https://www.googleapis.com/auth/cloud-platform" ] }, +"directCreate": { +"description": "Creates a volume directly on the CLH, bypassing CCFE. This is a temporary PoC that will be used for testing and removed.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/volumePools/{volumePoolsId}/volumes:directCreate", +"httpMethod": "POST", +"id": "file.projects.locations.volumePools.volumes.directCreate", +"parameterOrder": [ +"parent" +], +"parameters": { +"parent": { +"description": "Required. The parent volume pool path, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}`.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/volumePools/[^/]+$", +"required": true, +"type": "string" +}, +"volumeId": { +"description": "Required. The ID to use for the volume. The ID must be unique within the specified volume pool.", +"location": "query", +"type": "string" +} +}, +"path": "v1beta1/{+parent}/volumes:directCreate", +"request": { +"$ref": "Volume" +}, +"response": { +"$ref": "Volume" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"directDelete": { +"description": "Deletes a volume directly on the CLH, bypassing CCFE. This is a temporary PoC that will be used for testing and removed.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/volumePools/{volumePoolsId}/volumes/{volumesId}:directDelete", +"httpMethod": "POST", +"id": "file.projects.locations.volumePools.volumes.directDelete", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "Required. The volume resource name, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/volumePools/[^/]+/volumes/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+name}:directDelete", +"request": { +"$ref": "DeleteVolumeRequest" +}, +"response": { +"$ref": "Empty" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, "get": { "description": "Gets the details of a specific volume.", "flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/volumePools/{volumePoolsId}/volumes/{volumesId}", @@ -1725,6 +1814,68 @@ "scopes": [ "https://www.googleapis.com/auth/cloud-platform" ] +}, +"patch": { +"description": "Updates the settings of a specific volume.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/volumePools/{volumePoolsId}/volumes/{volumesId}", +"httpMethod": "PATCH", +"id": "file.projects.locations.volumePools.volumes.patch", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/volumePools/[^/]+/volumes/[^/]+$", +"required": true, +"type": "string" +}, +"updateMask": { +"description": "Required. Mask of fields to update. At least one path must be supplied in this field.", +"format": "google-fieldmask", +"location": "query", +"type": "string" +} +}, +"path": "v1beta1/{+name}", +"request": { +"$ref": "Volume" +}, +"response": { +"$ref": "Volume" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] +}, +"unfreeze": { +"description": "Unfreezes a volume.", +"flatPath": "v1beta1/projects/{projectsId}/locations/{locationsId}/volumePools/{volumePoolsId}/volumes/{volumesId}:unfreeze", +"httpMethod": "POST", +"id": "file.projects.locations.volumePools.volumes.unfreeze", +"parameterOrder": [ +"name" +], +"parameters": { +"name": { +"description": "Required. The name of the volume to unfreeze. Format: `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.", +"location": "path", +"pattern": "^projects/[^/]+/locations/[^/]+/volumePools/[^/]+/volumes/[^/]+$", +"required": true, +"type": "string" +} +}, +"path": "v1beta1/{+name}:unfreeze", +"request": { +"$ref": "UnfreezeVolumeRequest" +}, +"response": { +"$ref": "Operation" +}, +"scopes": [ +"https://www.googleapis.com/auth/cloud-platform" +] } } } @@ -1735,7 +1886,7 @@ } } }, -"revision": "20260827", +"revision": "20260927", "rootUrl": "https://file.googleapis.com/", "schemas": { "AcquireShareRequest": { @@ -1918,6 +2069,33 @@ "properties": {}, "type": "object" }, +"CreateFromSourceRequest": { +"description": "Request for creating a volume from an existing data source (such as a backup).", +"id": "CreateFromSourceRequest", +"properties": { +"backup": { +"description": "The resource name of the backup to create from. Format: projects/{project}/locations/{location}/backups/{backup}", +"type": "string" +}, +"ipAcls": { +"description": "Optional. IP ACLs defining permissions/ACLs to apply to the newly created volume.", +"items": { +"$ref": "NfsExportOptions" +}, +"type": "array" +}, +"quota": { +"description": "Optional. The limit for how much data can be written to this volume, in MiB.", +"format": "int64", +"type": "string" +}, +"volumeId": { +"description": "Required. Unique identifier for the volume which also appears in the volumes resource name.", +"type": "string" +} +}, +"type": "object" +}, "DailyCycle": { "description": "Time window specified for daily operations.", "id": "DailyCycle", @@ -1956,6 +2134,12 @@ }, "type": "object" }, +"DeleteVolumeRequest": { +"description": "DeleteVolumeRequest deletes a volume.", +"id": "DeleteVolumeRequest", +"properties": {}, +"type": "object" +}, "DenyMaintenancePeriod": { "description": "DenyMaintenancePeriod definition. Maintenance is forbidden within the deny period. The start_date must be less than the end_date.", "id": "DenyMaintenancePeriod", @@ -3615,6 +3799,25 @@ }, "type": "object" }, +"UnfreezeVolumeRequest": { +"description": "Request for unfreezing a volume.", +"id": "UnfreezeVolumeRequest", +"properties": { +"ipAcls": { +"description": "Optional. IP ACLs defining permissions/ACLs to apply to the unfrozen volume", +"items": { +"$ref": "NfsExportOptions" +}, +"type": "array" +}, +"quota": { +"description": "Optional. The limit for how much data can be written to this volume, in MiB.", +"format": "int64", +"type": "string" +} +}, +"type": "object" +}, "UpdatePolicy": { "description": "Maintenance policy applicable to instance updates.", "id": "UpdatePolicy", @@ -3667,6 +3870,13 @@ "description": "Optional. A description of the volume with 2048 characters or less. Requests with longer descriptions will be rejected.", "type": "string" }, +"ipAcls": { +"description": "Optional. User-defined permissions protecting mount points.", +"items": { +"$ref": "NfsExportOptions" +}, +"type": "array" +}, "labels": { "additionalProperties": { "type": "string" @@ -3682,6 +3892,29 @@ "name": { "description": "Identifier. The resource name of the volume, in the format `projects/{project}/locations/{location}/volumePools/{volume_pool}/volumes/{volume}`.", "type": "string" +}, +"quotaMib": { +"description": "Optional. The maximum size of the volume in mebibytes (MiB).", +"format": "int64", +"type": "string" +}, +"state": { +"description": "Optional. The state of the volume. This field is caller-settable via `UpdateVolume` to transition a volume from `HOT` to `COLD` (freezing the volume). In `CreateVolume`, this field is output-only and initialized to `HOT`.", +"enum": [ +"STATE_UNSPECIFIED", +"CREATING", +"HOT", +"WARM", +"COLD" +], +"enumDescriptions": [ +"The state of the volume is unknown.", +"The volume is being created.", +"The volume is hot and bound to a physical share.", +"The volume is warm - volume is unmountable and doesn't count as an active share, but is on hot storage.", +"The volume is cold and released from its physical share." +], +"type": "string" } }, "type": "object" @@ -3690,6 +3923,11 @@ "description": "VolumePool representation of a Cloud Filestore volume pool.", "id": "VolumePool", "properties": { +"activeVolumeCount": { +"description": "Optional. The number of active volumes. Default: 100.", +"format": "int32", +"type": "integer" +}, "activeVolumeIops": { "description": "Optional. The number of IOPs provisioned per active volume.", "format": "int32", @@ -3702,7 +3940,7 @@ "type": "string" }, "defaultVolumeQuotaMib": { -"description": "Optional. The default quota per volume in MiB. Default: 1024 MiB.", +"description": "Optional. The default quota per volume in MiB. Must be between 100 MiB and 102400 MiB (100 GiB). Default: 1024 MiB.", "format": "int32", "type": "integer" }, @@ -3725,6 +3963,23 @@ "description": "Required. The VPC network to which the VolumePool should be attached. Only Private Service Connect (PSC) is supported.", "type": "string" }, +"state": { +"description": "Output only. The state of the volume pool.", +"enum": [ +"STATE_UNSPECIFIED", +"READY", +"DELETING", +"INVALID" +], +"enumDescriptions": [ +"State is not specified.", +"Volume pool is available for use.", +"Volume pool is being deleted.", +"Volume pool is in an invalid state." +], +"readOnly": true, +"type": "string" +}, "uid": { "description": "Output only. System-assigned unique identifier for the volume pool.", "readOnly": true, From 8250447ecbfb766e3255a5e3de74dc918a749a83 Mon Sep 17 00:00:00 2001 From: Yoshi Automation Date: Tue, 13 Oct 2026 07:31:45 +0000 Subject: [PATCH 18/32] feat(firebasecrashlytics): update the api #### firebasecrashlytics:v1alpha The following keys were added: - resources.projects.resources.apps.resources.reports.methods.get.parameters.view (Total Keys: 2) - resources.projects.resources.apps.resources.reports.methods.list.parameters.view (Total Keys: 2) --- ...hlytics_v1alpha.projects.apps.reports.html | 20 ++++++++--- .../firebasecrashlytics.v1alpha.json | 34 +++++++++++++++++-- 2 files changed, 47 insertions(+), 7 deletions(-) diff --git a/docs/dyn/firebasecrashlytics_v1alpha.projects.apps.reports.html b/docs/dyn/firebasecrashlytics_v1alpha.projects.apps.reports.html index 0c5ecb2715..cb567939ec 100644 --- a/docs/dyn/firebasecrashlytics_v1alpha.projects.apps.reports.html +++ b/docs/dyn/firebasecrashlytics_v1alpha.projects.apps.reports.html @@ -78,13 +78,13 @@

Instance Methods

close()

Close httplib2 connections.

- get(name, filter_browser_displayNames=None, filter_device_displayNames=None, filter_device_formFactors=None, filter_interval_endTime=None, filter_interval_startTime=None, filter_issue_content=None, filter_issue_errorTypes=None, filter_issue_id=None, filter_issue_signals=None, filter_issue_state=None, filter_issue_states=None, filter_issue_variantId=None, filter_operatingSystem_displayNames=None, filter_version_displayNames=None, granularity=None, metricsMode=None, pageSize=None, pageToken=None, x__xgafv=None)

+ get(name, filter_browser_displayNames=None, filter_device_displayNames=None, filter_device_formFactors=None, filter_interval_endTime=None, filter_interval_startTime=None, filter_issue_content=None, filter_issue_errorTypes=None, filter_issue_id=None, filter_issue_signals=None, filter_issue_state=None, filter_issue_states=None, filter_issue_variantId=None, filter_operatingSystem_displayNames=None, filter_version_displayNames=None, granularity=None, metricsMode=None, pageSize=None, pageToken=None, view=None, x__xgafv=None)

Get a report with its computed results.

get_next(previous_request, previous_response)

Retrieves the next page of results.

- list(parent, x__xgafv=None)

+ list(parent, view=None, x__xgafv=None)

List all of the available reports.

Method Details

@@ -93,7 +93,7 @@

Method Details

- get(name, filter_browser_displayNames=None, filter_device_displayNames=None, filter_device_formFactors=None, filter_interval_endTime=None, filter_interval_startTime=None, filter_issue_content=None, filter_issue_errorTypes=None, filter_issue_id=None, filter_issue_signals=None, filter_issue_state=None, filter_issue_states=None, filter_issue_variantId=None, filter_operatingSystem_displayNames=None, filter_version_displayNames=None, granularity=None, metricsMode=None, pageSize=None, pageToken=None, x__xgafv=None) + get(name, filter_browser_displayNames=None, filter_device_displayNames=None, filter_device_formFactors=None, filter_interval_endTime=None, filter_interval_startTime=None, filter_issue_content=None, filter_issue_errorTypes=None, filter_issue_id=None, filter_issue_signals=None, filter_issue_state=None, filter_issue_states=None, filter_issue_variantId=None, filter_operatingSystem_displayNames=None, filter_version_displayNames=None, granularity=None, metricsMode=None, pageSize=None, pageToken=None, view=None, x__xgafv=None) 
Get a report with its computed results.
 
 Args:
@@ -151,8 +151,13 @@ 
Method Details

       METRICS_MODE_UNSPECIFIED - Unknown.
       METRICS_MODE_OBSERVED - Raw counts of the events, sessions, and users that were actually collected.
       METRICS_MODE_EXTRAPOLATED - Web only. Estimated event counts based on the per-session sampling rate recorded on each event.
-  pageSize: integer, Optional. The maximum number of result groups to return. If omitted, defaults to 25.
+  pageSize: integer, Optional. The maximum number of result groups to return. The maximum value is 100; values above 100 will be coerced to 100. If omitted, defaults to 25.
   pageToken: string, Optional. A page token, received from a previous call. The page token is only valid for the exact same set of filters, which must also be sent in subsequent requests. This token is valid for 10 minutes after the first request.
+  view: string, Optional. Response view. If not set, defaults to `REPORT_VIEW_FULL`.
+    Allowed values
+      REPORT_VIEW_UNSPECIFIED - The default / unset value. The API will default to `REPORT_VIEW_BASIC` view for `ListReports` and `REPORT_VIEW_FULL` for `GetReport`.
+      REPORT_VIEW_BASIC - Only includes the report `display_name` and optional `usage`. This is the default view for `ListReports`.
+      REPORT_VIEW_FULL - Includes all fields on report. This is the default view for `GetReport`.
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -276,11 +281,16 @@ 
Method Details
- list(parent, x__xgafv=None) + list(parent, view=None, x__xgafv=None) 
List all of the available reports.
 
 Args:
   parent: string, Required. The firebase application. Format: "projects/{project}/apps/{app_id}". (required)
+  view: string, Optional. Response view. If not set, defaults to `REPORT_VIEW_BASIC`. `REPORT_VIEW_FULL` is not supported for list operations.
+    Allowed values
+      REPORT_VIEW_UNSPECIFIED - The default / unset value. The API will default to `REPORT_VIEW_BASIC` view for `ListReports` and `REPORT_VIEW_FULL` for `GetReport`.
+      REPORT_VIEW_BASIC - Only includes the report `display_name` and optional `usage`. This is the default view for `ListReports`.
+      REPORT_VIEW_FULL - Includes all fields on report. This is the default view for `GetReport`.
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
diff --git a/googleapiclient/discovery_cache/documents/firebasecrashlytics.v1alpha.json b/googleapiclient/discovery_cache/documents/firebasecrashlytics.v1alpha.json
index 30ea76527a..f75d0fffbc 100644
--- a/googleapiclient/discovery_cache/documents/firebasecrashlytics.v1alpha.json
+++ b/googleapiclient/discovery_cache/documents/firebasecrashlytics.v1alpha.json
@@ -739,7 +739,7 @@
 "type": "string"
 },
 "pageSize": {
-"description": "Optional. The maximum number of result groups to return. If omitted, defaults to 25.",
+"description": "Optional. The maximum number of result groups to return. The maximum value is 100; values above 100 will be coerced to 100. If omitted, defaults to 25.",
 "format": "int32",
 "location": "query",
 "type": "integer"
@@ -748,6 +748,21 @@
 "description": "Optional. A page token, received from a previous call. The page token is only valid for the exact same set of filters, which must also be sent in subsequent requests. This token is valid for 10 minutes after the first request.",
 "location": "query",
 "type": "string"
+},
+"view": {
+"description": "Optional. Response view. If not set, defaults to `REPORT_VIEW_FULL`.",
+"enum": [
+"REPORT_VIEW_UNSPECIFIED",
+"REPORT_VIEW_BASIC",
+"REPORT_VIEW_FULL"
+],
+"enumDescriptions": [
+"The default / unset value. The API will default to `REPORT_VIEW_BASIC` view for `ListReports` and `REPORT_VIEW_FULL` for `GetReport`.",
+"Only includes the report `display_name` and optional `usage`. This is the default view for `ListReports`.",
+"Includes all fields on report. This is the default view for `GetReport`."
+],
+"location": "query",
+"type": "string"
 }
 },
 "path": "v1alpha/{+name}",
@@ -774,6 +789,21 @@
 "pattern": "^projects/[^/]+/apps/[^/]+$",
 "required": true,
 "type": "string"
+},
+"view": {
+"description": "Optional. Response view. If not set, defaults to `REPORT_VIEW_BASIC`. `REPORT_VIEW_FULL` is not supported for list operations.",
+"enum": [
+"REPORT_VIEW_UNSPECIFIED",
+"REPORT_VIEW_BASIC",
+"REPORT_VIEW_FULL"
+],
+"enumDescriptions": [
+"The default / unset value. The API will default to `REPORT_VIEW_BASIC` view for `ListReports` and `REPORT_VIEW_FULL` for `GetReport`.",
+"Only includes the report `display_name` and optional `usage`. This is the default view for `ListReports`.",
+"Includes all fields on report. This is the default view for `GetReport`."
+],
+"location": "query",
+"type": "string"
 }
 },
 "path": "v1alpha/{+parent}/reports",
@@ -822,7 +852,7 @@
 }
 }
 },
-"revision": "20261002",
+"revision": "20261008",
 "rootUrl": "https://firebasecrashlytics.googleapis.com/",
 "schemas": {
 "BatchGetEventsResponse": {

From 68dfb846fe7b05843afadd0ead2963d35f63a780 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 19/32] feat(firebasedataconnect): update the api

#### firebasedataconnect:v1

The following keys were added:
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestDelete (Total Keys: 15)
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestInsert (Total Keys: 16)
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestSelect (Total Keys: 15)
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestUpdate (Total Keys: 16)
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestUpsert (Total Keys: 16)
- resources.projects.resources.locations.resources.services.resources.postgrest.resources.rpc.methods.postgrestCallFunction (Total Keys: 16)
- resources.projects.resources.locations.resources.services.resources.postgrest.resources.rpc.methods.postgrestQueryFunction (Total Keys: 15)
- schemas.HttpBody (Total Keys: 8)

#### firebasedataconnect:v1beta

The following keys were added:
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestDelete (Total Keys: 15)
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestInsert (Total Keys: 16)
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestSelect (Total Keys: 15)
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestUpdate (Total Keys: 16)
- resources.projects.resources.locations.resources.services.resources.postgrest.methods.postgrestUpsert (Total Keys: 16)
- resources.projects.resources.locations.resources.services.resources.postgrest.resources.rpc.methods.postgrestCallFunction (Total Keys: 16)
- resources.projects.resources.locations.resources.services.resources.postgrest.resources.rpc.methods.postgrestQueryFunction (Total Keys: 15)
- schemas.HttpBody (Total Keys: 8)
---
 ...onnect_v1.projects.locations.services.html |   5 +
 ...projects.locations.services.postgrest.html | 275 +++++++++++++++++
 ...ects.locations.services.postgrest.rpc.html | 157 ++++++++++
 ...ct_v1beta.projects.locations.services.html |   5 +
 ...projects.locations.services.postgrest.html | 275 +++++++++++++++++
 ...ects.locations.services.postgrest.rpc.html | 157 ++++++++++
 .../documents/firebasedataconnect.v1.json     | 282 +++++++++++++++++-
 .../documents/firebasedataconnect.v1beta.json | 282 +++++++++++++++++-
 8 files changed, 1436 insertions(+), 2 deletions(-)
 create mode 100644 docs/dyn/firebasedataconnect_v1.projects.locations.services.postgrest.html
 create mode 100644 docs/dyn/firebasedataconnect_v1.projects.locations.services.postgrest.rpc.html
 create mode 100644 docs/dyn/firebasedataconnect_v1beta.projects.locations.services.postgrest.html
 create mode 100644 docs/dyn/firebasedataconnect_v1beta.projects.locations.services.postgrest.rpc.html

diff --git a/docs/dyn/firebasedataconnect_v1.projects.locations.services.html b/docs/dyn/firebasedataconnect_v1.projects.locations.services.html
index 82973430ad..3bbe6a38ea 100644
--- a/docs/dyn/firebasedataconnect_v1.projects.locations.services.html
+++ b/docs/dyn/firebasedataconnect_v1.projects.locations.services.html
@@ -79,6 +79,11 @@ 
Instance Methods

 

 
Returns the connectors Resource.

 
+

+  postgrest()
+

+
Returns the postgrest Resource.

+
 

   schemas()
 

diff --git a/docs/dyn/firebasedataconnect_v1.projects.locations.services.postgrest.html b/docs/dyn/firebasedataconnect_v1.projects.locations.services.postgrest.html
new file mode 100644
index 0000000000..4dfc0f3edc
--- /dev/null
+++ b/docs/dyn/firebasedataconnect_v1.projects.locations.services.postgrest.html
@@ -0,0 +1,275 @@
+
+
+
+
Firebase SQL Connect API . projects . locations . services . postgrest

+
Instance Methods

+

+  rpc()
+

+
Returns the rpc Resource.

+
+

+  close()

+
Close httplib2 connections.

+

+  postgrestDelete(firebasedataconnectService, firebasedataconnectTable, x__xgafv=None)

+
Executes a dynamic DELETE mutation on rows matching the URL filters.

+

+  postgrestInsert(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)

+
Executes a dynamic INSERT (create) or UPSERT mutation on a target table.

+

+  postgrestSelect(firebasedataconnectService, firebasedataconnectTable, x__xgafv=None)

+
Executes a dynamic SELECT (read) query on a target PostgreSQL table. Projections, filters, sorting, and embeddings are mapped from the HTTP URL query parameters.

+

+  postgrestUpdate(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)

+
Executes a dynamic UPDATE (modify) mutation on rows matching the URL filters.

+

+  postgrestUpsert(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)

+
Executes a dynamic UPSERT (replace or create) mutation on a target table identified by primary key filters.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    postgrestDelete(firebasedataconnectService, firebasedataconnectTable, x__xgafv=None)
+  
Executes a dynamic DELETE mutation on rows matching the URL filters.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to delete from. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestInsert(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)
+  
Executes a dynamic INSERT (create) or UPSERT mutation on a target table.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to insert into. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestSelect(firebasedataconnectService, firebasedataconnectTable, x__xgafv=None)
+  
Executes a dynamic SELECT (read) query on a target PostgreSQL table. Projections, filters, sorting, and embeddings are mapped from the HTTP URL query parameters.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to select from. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestUpdate(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)
+  
Executes a dynamic UPDATE (modify) mutation on rows matching the URL filters.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to update. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestUpsert(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)
+  
Executes a dynamic UPSERT (replace or create) mutation on a target table identified by primary key filters.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to upsert into. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/firebasedataconnect_v1.projects.locations.services.postgrest.rpc.html b/docs/dyn/firebasedataconnect_v1.projects.locations.services.postgrest.rpc.html
new file mode 100644
index 0000000000..92daf43b33
--- /dev/null
+++ b/docs/dyn/firebasedataconnect_v1.projects.locations.services.postgrest.rpc.html
@@ -0,0 +1,157 @@
+
+
+
+
Firebase SQL Connect API . projects . locations . services . postgrest . rpc

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  postgrestCallFunction(firebasedataconnectService, firebasedataconnectFunction, body=None, x__xgafv=None)

+
Executes a PostgreSQL database function.

+

+  postgrestQueryFunction(firebasedataconnectService, firebasedataconnectFunction, x__xgafv=None)

+
Executes a read-only PostgreSQL database function.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    postgrestCallFunction(firebasedataconnectService, firebasedataconnectFunction, body=None, x__xgafv=None)
+  
Executes a PostgreSQL database function.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectFunction: string, Required. The name of the database function. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestQueryFunction(firebasedataconnectService, firebasedataconnectFunction, x__xgafv=None)
+  
Executes a read-only PostgreSQL database function.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectFunction: string, Required. The name of the database function. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.html b/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.html
index 90223a7fc7..dca94ded81 100644
--- a/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.html
+++ b/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.html
@@ -79,6 +79,11 @@ 
Instance Methods

 

 
Returns the connectors Resource.

 
+

+  postgrest()
+

+
Returns the postgrest Resource.

+
 

   schemas()
 

diff --git a/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.postgrest.html b/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.postgrest.html
new file mode 100644
index 0000000000..2ae94645dd
--- /dev/null
+++ b/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.postgrest.html
@@ -0,0 +1,275 @@
+
+
+
+
Firebase SQL Connect API . projects . locations . services . postgrest

+
Instance Methods

+

+  rpc()
+

+
Returns the rpc Resource.

+
+

+  close()

+
Close httplib2 connections.

+

+  postgrestDelete(firebasedataconnectService, firebasedataconnectTable, x__xgafv=None)

+
Executes a dynamic DELETE mutation on rows matching the URL filters.

+

+  postgrestInsert(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)

+
Executes a dynamic INSERT (create) or UPSERT mutation on a target table.

+

+  postgrestSelect(firebasedataconnectService, firebasedataconnectTable, x__xgafv=None)

+
Executes a dynamic SELECT (read) query on a target PostgreSQL table. Projections, filters, sorting, and embeddings are mapped from the HTTP URL query parameters.

+

+  postgrestUpdate(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)

+
Executes a dynamic UPDATE (modify) mutation on rows matching the URL filters.

+

+  postgrestUpsert(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)

+
Executes a dynamic UPSERT (replace or create) mutation on a target table identified by primary key filters.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    postgrestDelete(firebasedataconnectService, firebasedataconnectTable, x__xgafv=None)
+  
Executes a dynamic DELETE mutation on rows matching the URL filters.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to delete from. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestInsert(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)
+  
Executes a dynamic INSERT (create) or UPSERT mutation on a target table.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to insert into. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestSelect(firebasedataconnectService, firebasedataconnectTable, x__xgafv=None)
+  
Executes a dynamic SELECT (read) query on a target PostgreSQL table. Projections, filters, sorting, and embeddings are mapped from the HTTP URL query parameters.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to select from. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestUpdate(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)
+  
Executes a dynamic UPDATE (modify) mutation on rows matching the URL filters.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to update. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestUpsert(firebasedataconnectService, firebasedataconnectTable, body=None, x__xgafv=None)
+  
Executes a dynamic UPSERT (replace or create) mutation on a target table identified by primary key filters.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectTable: string, Required. The name of the table to upsert into. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+
\ No newline at end of file
diff --git a/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.postgrest.rpc.html b/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.postgrest.rpc.html
new file mode 100644
index 0000000000..370f33af82
--- /dev/null
+++ b/docs/dyn/firebasedataconnect_v1beta.projects.locations.services.postgrest.rpc.html
@@ -0,0 +1,157 @@
+
+
+
+
Firebase SQL Connect API . projects . locations . services . postgrest . rpc

+
Instance Methods

+

+  close()

+
Close httplib2 connections.

+

+  postgrestCallFunction(firebasedataconnectService, firebasedataconnectFunction, body=None, x__xgafv=None)

+
Executes a PostgreSQL database function.

+

+  postgrestQueryFunction(firebasedataconnectService, firebasedataconnectFunction, x__xgafv=None)

+
Executes a read-only PostgreSQL database function.

+
Method Details

+

+    close()
+  
Close httplib2 connections.

+

+
+

+    postgrestCallFunction(firebasedataconnectService, firebasedataconnectFunction, body=None, x__xgafv=None)
+  
Executes a PostgreSQL database function.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectFunction: string, Required. The name of the database function. (required)
+  body: object, The request body.
+    The object takes the form of:
+
+{ # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}
+
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+

+    postgrestQueryFunction(firebasedataconnectService, firebasedataconnectFunction, x__xgafv=None)
+  
Executes a read-only PostgreSQL database function.
+
+Args:
+  firebasedataconnectService: string, Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}` (required)
+  firebasedataconnectFunction: string, Required. The name of the database function. (required)
+  x__xgafv: string, V1 error format.
+    Allowed values
+      1 - v1 error format
+      2 - v2 error format
+
+Returns:
+  An object of the form:
+
+    { # Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.
+  "contentType": "A String", # The HTTP Content-Type header value specifying the content type of the body.
+  "data": "A String", # The HTTP request/response body as raw binary.
+  "extensions": [ # Application specific response metadata. Must be set in the first response for streaming APIs.
+    {
+      "a_key": "", # Properties of the object. Contains field @type with type URL.
+    },
+  ],
+}

+

+
+
\ No newline at end of file
diff --git a/googleapiclient/discovery_cache/documents/firebasedataconnect.v1.json b/googleapiclient/discovery_cache/documents/firebasedataconnect.v1.json
index cf3499c298..d09681a55d 100644
--- a/googleapiclient/discovery_cache/documents/firebasedataconnect.v1.json
+++ b/googleapiclient/discovery_cache/documents/firebasedataconnect.v1.json
@@ -997,6 +997,259 @@
 }
 }
 },
+"postgrest": {
+"methods": {
+"postgrestDelete": {
+"description": "Executes a dynamic DELETE mutation on rows matching the URL filters.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "DELETE",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestDelete",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to delete from.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestInsert": {
+"description": "Executes a dynamic INSERT (create) or UPSERT mutation on a target table.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "POST",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestInsert",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to insert into.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"request": {
+"$ref": "HttpBody"
+},
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestSelect": {
+"description": "Executes a dynamic SELECT (read) query on a target PostgreSQL table. Projections, filters, sorting, and embeddings are mapped from the HTTP URL query parameters.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "GET",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestSelect",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to select from.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestUpdate": {
+"description": "Executes a dynamic UPDATE (modify) mutation on rows matching the URL filters.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "PATCH",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestUpdate",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to update.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"request": {
+"$ref": "HttpBody"
+},
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestUpsert": {
+"description": "Executes a dynamic UPSERT (replace or create) mutation on a target table identified by primary key filters.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "PUT",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestUpsert",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to upsert into.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"request": {
+"$ref": "HttpBody"
+},
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+}
+},
+"resources": {
+"rpc": {
+"methods": {
+"postgrestCallFunction": {
+"description": "Executes a PostgreSQL database function.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/rpc/{rpcId}",
+"httpMethod": "POST",
+"id": "firebasedataconnect.projects.locations.services.postgrest.rpc.postgrestCallFunction",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectFunction"
+],
+"parameters": {
+"firebasedataconnectFunction": {
+"description": "Required. The name of the database function.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+firebasedataconnectService}/postgrest/rpc/{+firebasedataconnectFunction}",
+"request": {
+"$ref": "HttpBody"
+},
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestQueryFunction": {
+"description": "Executes a read-only PostgreSQL database function.",
+"flatPath": "v1/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/rpc/{rpcId}",
+"httpMethod": "GET",
+"id": "firebasedataconnect.projects.locations.services.postgrest.rpc.postgrestQueryFunction",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectFunction"
+],
+"parameters": {
+"firebasedataconnectFunction": {
+"description": "Required. The name of the database function.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1/{+firebasedataconnectService}/postgrest/rpc/{+firebasedataconnectFunction}",
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+}
+}
+}
+}
+},
 "schemas": {
 "methods": {
 "create": {
@@ -1249,7 +1502,7 @@
 }
 }
 },
-"revision": "20260927",
+"revision": "20261004",
 "rootUrl": "https://firebasedataconnect.googleapis.com/",
 "schemas": {
 "CancelOperationRequest": {
@@ -1813,6 +2066,33 @@
 },
 "type": "object"
 },
+"HttpBody": {
+"description": "Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.",
+"id": "HttpBody",
+"properties": {
+"contentType": {
+"description": "The HTTP Content-Type header value specifying the content type of the body.",
+"type": "string"
+},
+"data": {
+"description": "The HTTP request/response body as raw binary.",
+"format": "byte",
+"type": "string"
+},
+"extensions": {
+"description": "Application specific response metadata. Must be set in the first response for streaming APIs.",
+"items": {
+"additionalProperties": {
+"description": "Properties of the object. Contains field @type with type URL.",
+"type": "any"
+},
+"type": "object"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "HttpGraphql": {
 "description": "Settings for HTTP GraphQL server webhook.",
 "id": "HttpGraphql",
diff --git a/googleapiclient/discovery_cache/documents/firebasedataconnect.v1beta.json b/googleapiclient/discovery_cache/documents/firebasedataconnect.v1beta.json
index 019b520bd5..3fdf7391b4 100644
--- a/googleapiclient/discovery_cache/documents/firebasedataconnect.v1beta.json
+++ b/googleapiclient/discovery_cache/documents/firebasedataconnect.v1beta.json
@@ -997,6 +997,259 @@
 }
 }
 },
+"postgrest": {
+"methods": {
+"postgrestDelete": {
+"description": "Executes a dynamic DELETE mutation on rows matching the URL filters.",
+"flatPath": "v1beta/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "DELETE",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestDelete",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to delete from.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestInsert": {
+"description": "Executes a dynamic INSERT (create) or UPSERT mutation on a target table.",
+"flatPath": "v1beta/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "POST",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestInsert",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to insert into.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"request": {
+"$ref": "HttpBody"
+},
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestSelect": {
+"description": "Executes a dynamic SELECT (read) query on a target PostgreSQL table. Projections, filters, sorting, and embeddings are mapped from the HTTP URL query parameters.",
+"flatPath": "v1beta/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "GET",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestSelect",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to select from.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestUpdate": {
+"description": "Executes a dynamic UPDATE (modify) mutation on rows matching the URL filters.",
+"flatPath": "v1beta/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "PATCH",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestUpdate",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to update.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"request": {
+"$ref": "HttpBody"
+},
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestUpsert": {
+"description": "Executes a dynamic UPSERT (replace or create) mutation on a target table identified by primary key filters.",
+"flatPath": "v1beta/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/{postgrestId}",
+"httpMethod": "PUT",
+"id": "firebasedataconnect.projects.locations.services.postgrest.postgrestUpsert",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectTable"
+],
+"parameters": {
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectTable": {
+"description": "Required. The name of the table to upsert into.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta/{+firebasedataconnectService}/postgrest/{+firebasedataconnectTable}",
+"request": {
+"$ref": "HttpBody"
+},
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+}
+},
+"resources": {
+"rpc": {
+"methods": {
+"postgrestCallFunction": {
+"description": "Executes a PostgreSQL database function.",
+"flatPath": "v1beta/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/rpc/{rpcId}",
+"httpMethod": "POST",
+"id": "firebasedataconnect.projects.locations.services.postgrest.rpc.postgrestCallFunction",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectFunction"
+],
+"parameters": {
+"firebasedataconnectFunction": {
+"description": "Required. The name of the database function.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta/{+firebasedataconnectService}/postgrest/rpc/{+firebasedataconnectFunction}",
+"request": {
+"$ref": "HttpBody"
+},
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+},
+"postgrestQueryFunction": {
+"description": "Executes a read-only PostgreSQL database function.",
+"flatPath": "v1beta/projects/{projectsId}/locations/{locationsId}/services/{servicesId}/postgrest/rpc/{rpcId}",
+"httpMethod": "GET",
+"id": "firebasedataconnect.projects.locations.services.postgrest.rpc.postgrestQueryFunction",
+"parameterOrder": [
+"firebasedataconnectService",
+"firebasedataconnectFunction"
+],
+"parameters": {
+"firebasedataconnectFunction": {
+"description": "Required. The name of the database function.",
+"location": "path",
+"pattern": "^.*$",
+"required": true,
+"type": "string"
+},
+"firebasedataconnectService": {
+"description": "Required. The resource name of the service, in the format: `projects/{project}/locations/{location}/services/{service}`",
+"location": "path",
+"pattern": "^projects/[^/]+/locations/[^/]+/services/[^/]+$",
+"required": true,
+"type": "string"
+}
+},
+"path": "v1beta/{+firebasedataconnectService}/postgrest/rpc/{+firebasedataconnectFunction}",
+"response": {
+"$ref": "HttpBody"
+},
+"scopes": [
+"https://www.googleapis.com/auth/cloud-platform"
+]
+}
+}
+}
+}
+},
 "schemas": {
 "methods": {
 "create": {
@@ -1249,7 +1502,7 @@
 }
 }
 },
-"revision": "20260927",
+"revision": "20261004",
 "rootUrl": "https://firebasedataconnect.googleapis.com/",
 "schemas": {
 "CancelOperationRequest": {
@@ -1813,6 +2066,33 @@
 },
 "type": "object"
 },
+"HttpBody": {
+"description": "Message that represents an arbitrary HTTP body. It should only be used for payload formats that can't be represented as JSON, such as raw binary or an HTML page. This message can be used both in streaming and non-streaming API methods in the request as well as the response. It can be used as a top-level request field, which is convenient if one wants to extract parameters from either the URL or HTTP template into the request fields and also want access to the raw HTTP body. Example: message GetResourceRequest { // A unique request id. string request_id = 1; // The raw HTTP body is bound to this field. google.api.HttpBody http_body = 2; } service ResourceService { rpc GetResource(GetResourceRequest) returns (google.api.HttpBody); rpc UpdateResource(google.api.HttpBody) returns (google.protobuf.Empty); } Example with streaming methods: service CaldavService { rpc GetCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); rpc UpdateCalendar(stream google.api.HttpBody) returns (stream google.api.HttpBody); } Use of this type only changes how the request and response bodies are handled, all other features will continue to work unchanged.",
+"id": "HttpBody",
+"properties": {
+"contentType": {
+"description": "The HTTP Content-Type header value specifying the content type of the body.",
+"type": "string"
+},
+"data": {
+"description": "The HTTP request/response body as raw binary.",
+"format": "byte",
+"type": "string"
+},
+"extensions": {
+"description": "Application specific response metadata. Must be set in the first response for streaming APIs.",
+"items": {
+"additionalProperties": {
+"description": "Properties of the object. Contains field @type with type URL.",
+"type": "any"
+},
+"type": "object"
+},
+"type": "array"
+}
+},
+"type": "object"
+},
 "HttpGraphql": {
 "description": "Settings for HTTP GraphQL server webhook.",
 "id": "HttpGraphql",

From 5b9d0c00eb4e7de27878403207506227a1408706 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 20/32] feat(firebaseml): update the api

#### firebaseml:v2beta

The following keys were added:
- schemas.GoogleCloudAiplatformV1beta1Candidate.properties.continuationToken (Total Keys: 3)
- schemas.GoogleCloudAiplatformV1beta1GenerateContentRequest.properties.continuationToken (Total Keys: 2)
---
 ....projects.locations.publishers.models.html | 34 ++++++------
 .../documents/firebaseml.v2beta.json          | 53 ++++++++++++-------
 2 files changed, 52 insertions(+), 35 deletions(-)

diff --git a/docs/dyn/firebaseml_v2beta.projects.locations.publishers.models.html b/docs/dyn/firebaseml_v2beta.projects.locations.publishers.models.html
index 56e6f8cb12..f1064f4d3d 100644
--- a/docs/dyn/firebaseml_v2beta.projects.locations.publishers.models.html
+++ b/docs/dyn/firebaseml_v2beta.projects.locations.publishers.models.html
@@ -470,13 +470,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -837,6 +837,7 @@ 
Method Details

       "role": "A String", # Optional. The producer of the content. Must be either 'user' or 'model'. If not set, the service will default to 'user'.
     },
   ],
+  "continuationToken": "A String", # Optional. An opaque continuation token used to resume generation from a previous `GenerateContent` or `StreamGenerateContent` response that stopped with `finish_reason` set to `CONTINUATION`.
   "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Generation config.
     "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
     "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
@@ -1135,13 +1136,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -1497,6 +1498,7 @@ 
Method Details

         ],
         "role": "A String", # Optional. The producer of the content. Must be either 'user' or 'model'. If not set, the service will default to 'user'.
       },
+      "continuationToken": "A String", # Output only. An optional opaque continuation token returned when `finish_reason` is `CONTINUATION`. Clients can pass this token in a subsequent `GenerateContentRequest` to continue generation.
       "finishMessage": "A String", # Output only. Describes the reason the model stopped generating tokens in more detail. This field is returned only when `finish_reason` is set.
       "finishReason": "A String", # Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating.
       "groundingMetadata": { # Information about the sources that support the content of a response. When grounding is enabled, the model returns citations for claims in the response. This object contains the retrieved sources. # Output only. Metadata returned when grounding is enabled. It contains the sources used to ground the generated content.
@@ -1796,6 +1798,7 @@ 
Method Details

       "role": "A String", # Optional. The producer of the content. Must be either 'user' or 'model'. If not set, the service will default to 'user'.
     },
   ],
+  "continuationToken": "A String", # Optional. An opaque continuation token used to resume generation from a previous `GenerateContent` or `StreamGenerateContent` response that stopped with `finish_reason` set to `CONTINUATION`.
   "generationConfig": { # Configuration for content generation. This message contains all the parameters that control how the model generates content. It allows you to influence the randomness, length, and structure of the output. # Optional. Generation config.
     "audioTimestamp": True or False, # Optional. If enabled, audio timestamps will be included in the request to the model. This can be useful for synchronizing audio with other modalities in the response.
     "audioTranscriptionConfig": { # Configuration for speech recognition (transcription). # Optional. Configuration for audio transcription (speech recognition).
@@ -2094,13 +2097,13 @@ 
Method Details

     { # Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. A Tool object should contain exactly one type of Tool (e.g FunctionDeclaration, Retrieval or GoogleSearchRetrieval).
       "codeExecution": { # Tool that executes code generated by the model, and automatically returns the result to the model. See also ExecutableCode and CodeExecutionResult, which are input and output to this tool. # Optional. CodeExecution tool type. Enables the model to execute code as part of generation.
       },
-      "computerUse": { # Tool to support computer use. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
-        "disabledSafetyPolicies": [ # Optional. Disabled safety policies for computer use.
+      "computerUse": { # A tool that enables the model to interact directly with a computer environment. # Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.
+        "disabledSafetyPolicies": [ # Optional. A list of safety policies to disable for the computer use tool.
           "A String",
         ],
-        "enablePromptInjectionDetection": True or False, # Optional. Enables the prompt injection detection check on computer-use request.
-        "environment": "A String", # Required. The environment being operated.
-        "excludedPredefinedFunctions": [ # Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.
+        "enablePromptInjectionDetection": True or False, # Optional. Whether to enable the prompt injection detection check on the computer use request.
+        "environment": "A String", # Required. The target environment where the computer use tool operates.
+        "excludedPredefinedFunctions": [ # Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.
           "A String",
         ],
       },
@@ -2456,6 +2459,7 @@ 
Method Details

         ],
         "role": "A String", # Optional. The producer of the content. Must be either 'user' or 'model'. If not set, the service will default to 'user'.
       },
+      "continuationToken": "A String", # Output only. An optional opaque continuation token returned when `finish_reason` is `CONTINUATION`. Clients can pass this token in a subsequent `GenerateContentRequest` to continue generation.
       "finishMessage": "A String", # Output only. Describes the reason the model stopped generating tokens in more detail. This field is returned only when `finish_reason` is set.
       "finishReason": "A String", # Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating.
       "groundingMetadata": { # Information about the sources that support the content of a response. When grounding is enabled, the model returns citations for claims in the response. This object contains the retrieved sources. # Output only. Metadata returned when grounding is enabled. It contains the sources used to ground the generated content.
diff --git a/googleapiclient/discovery_cache/documents/firebaseml.v2beta.json b/googleapiclient/discovery_cache/documents/firebaseml.v2beta.json
index 589d98bc74..e8ac1b939d 100644
--- a/googleapiclient/discovery_cache/documents/firebaseml.v2beta.json
+++ b/googleapiclient/discovery_cache/documents/firebaseml.v2beta.json
@@ -206,7 +206,7 @@
 }
 }
 },
-"revision": "20260927",
+"revision": "20261004",
 "rootUrl": "https://firebaseml.googleapis.com/",
 "schemas": {
 "Date": {
@@ -617,6 +617,12 @@
 "description": "Output only. The content of the candidate.",
 "readOnly": true
 },
+"continuationToken": {
+"description": "Output only. An optional opaque continuation token returned when `finish_reason` is `CONTINUATION`. Clients can pass this token in a subsequent `GenerateContentRequest` to continue generation.",
+"format": "byte",
+"readOnly": true,
+"type": "string"
+},
 "finishMessage": {
 "description": "Output only. Describes the reason the model stopped generating tokens in more detail. This field is returned only when `finish_reason` is set.",
 "readOnly": true,
@@ -641,7 +647,8 @@
 "IMAGE_RECITATION",
 "IMAGE_OTHER",
 "UNEXPECTED_TOOL_CALL",
-"NO_IMAGE"
+"NO_IMAGE",
+"CONTINUATION"
 ],
 "enumDescriptions": [
 "The finish reason is unspecified.",
@@ -660,7 +667,8 @@
 "The generated image may be a recitation from a source.",
 "The image generation stopped for a reason not otherwise specified.",
 "The model generated a function call that is semantically invalid. This can happen, for example, if function calling is not enabled or the generated function is not in the function declaration.",
-"The model was expected to generate an image, but didn't."
+"The model was expected to generate an image, but didn't.",
+"Token generation was stopped because the response reached the per-request token limit, but generation is not yet complete. The model response can be continued via a subsequent request using the returned `continuation_token`."
 ],
 "readOnly": true,
 "type": "string"
@@ -1269,6 +1277,11 @@
 },
 "type": "array"
 },
+"continuationToken": {
+"description": "Optional. An opaque continuation token used to resume generation from a previous `GenerateContent` or `StreamGenerateContent` response that stopped with `finish_reason` set to `CONTINUATION`.",
+"format": "byte",
+"type": "string"
+},
 "generationConfig": {
 "$ref": "GoogleCloudAiplatformV1beta1GenerationConfig",
 "description": "Optional. Generation config."
@@ -3290,11 +3303,11 @@ false
 "type": "object"
 },
 "GoogleCloudAiplatformV1beta1ToolComputerUse": {
-"description": "Tool to support computer use.",
+"description": "A tool that enables the model to interact directly with a computer environment.",
 "id": "GoogleCloudAiplatformV1beta1ToolComputerUse",
 "properties": {
 "disabledSafetyPolicies": {
-"description": "Optional. Disabled safety policies for computer use.",
+"description": "Optional. A list of safety policies to disable for the computer use tool.",
 "items": {
 "enum": [
 "SAFETY_POLICY_UNSPECIFIED",
@@ -3307,25 +3320,25 @@ false
 "LEGAL_TERMS_AND_AGREEMENTS"
 ],
 "enumDescriptions": [
-"Unspecified safety policy. This value should not be used.",
-"Financial transactions safety policy.",
-"Sensitive data modification safety policy.",
-"Communication tool safety policy.",
-"Account creation safety policy.",
-"Data modification safety policy.",
-"User consent management safety policy.",
-"Legal terms and agreements safety policy."
+"The safety policy is unspecified.",
+"Policy that restricts financial transactions.",
+"Policy that restricts modification of sensitive data.",
+"Policy that restricts the use of communication tools.",
+"Policy that restricts the creation of accounts.",
+"Policy that restricts general data modification.",
+"Policy that restricts user consent management.",
+"Policy that restricts interaction with legal terms and agreements."
 ],
 "type": "string"
 },
 "type": "array"
 },
 "enablePromptInjectionDetection": {
-"description": "Optional. Enables the prompt injection detection check on computer-use request.",
+"description": "Optional. Whether to enable the prompt injection detection check on the computer use request.",
 "type": "boolean"
 },
 "environment": {
-"description": "Required. The environment being operated.",
+"description": "Required. The target environment where the computer use tool operates.",
 "enum": [
 "ENVIRONMENT_UNSPECIFIED",
 "ENVIRONMENT_BROWSER",
@@ -3333,15 +3346,15 @@ false
 "ENVIRONMENT_DESKTOP"
 ],
 "enumDescriptions": [
-"Defaults to browser.",
-"Operates in a web browser.",
-"Operates in a mobile environment.",
-"Operates in a desktop environment."
+"The environment is unspecified.",
+"The tool operates in a web browser.",
+"The tool operates in a mobile environment.",
+"The tool operates in a desktop environment."
 ],
 "type": "string"
 },
 "excludedPredefinedFunctions": {
-"description": "Optional. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.",
+"description": "Optional. A list of predefined functions to explicitly exclude from the model call. By default, [predefined functions](https://cloud.google.com/vertex-ai/generative-ai/docs/computer-use#supported-actions) are included. Excluding functions allows for a more restricted action space or custom definitions for predefined functions.",
 "items": {
 "type": "string"
 },

From 324aa06f620c4524d61120be274943afe7b2aed3 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 21/32] feat(integrations): update the api

#### integrations:v1

The following keys were added:
- schemas.GoogleCloudIntegrationsV1alphaIntegrationVersion.properties.eucHardeningDisposition (Total Keys: 2)
- schemas.GoogleCloudIntegrationsV1alphaTestIntegrationsRequest.properties.credentialMode.type (Total Keys: 1)
- schemas.GoogleCloudIntegrationsV1alphaTestIntegrationsResponse.properties.credentialMode.type (Total Keys: 1)
- schemas.GoogleCloudIntegrationsV1alphaTestIntegrationsResponse.properties.eucHardeningDisposition.type (Total Keys: 1)
- schemas.GoogleCloudIntegrationsV1alphaTestIntegrationsResponse.properties.hardenedPaths (Total Keys: 2)
- schemas.GoogleInternalCloudCrmEventbusV3PostToQueueWithTriggerIdRequest.properties.workflowId.type (Total Keys: 1)

#### integrations:v2

The following keys were added:
- schemas.GoogleInternalCloudCrmEventbusV3PostToQueueWithTriggerIdRequest.properties.workflowId.type (Total Keys: 1)
---
 ...s.integrations.executions.suspensions.html |  6 +-
 ...ns_v1.projects.locations.integrations.html |  9 +-
 ...jects.locations.integrations.versions.html | 17 +++-
 ...s.integrations.executions.suspensions.html |  6 +-
 ...jects.locations.products.integrations.html |  9 +-
 ...ations.products.integrations.versions.html |  8 ++
 ...tions_v1.projects.locations.templates.html | 20 +++++
 .../documents/integrations.v1.json            | 86 ++++++++++++++++++-
 .../documents/integrations.v2.json            |  8 +-
 9 files changed, 157 insertions(+), 12 deletions(-)

diff --git a/docs/dyn/integrations_v1.projects.locations.integrations.executions.suspensions.html b/docs/dyn/integrations_v1.projects.locations.integrations.executions.suspensions.html
index a0b6e95f70..7e42de6aeb 100644
--- a/docs/dyn/integrations_v1.projects.locations.integrations.executions.suspensions.html
+++ b/docs/dyn/integrations_v1.projects.locations.integrations.executions.suspensions.html
@@ -187,7 +187,7 @@ 
Method Details

             "escalatorQueue": "A String",
             "pubsubTopic": "A String",
             "request": { # If the out-of-the-box email/pubsub notifications are not suitable and custom logic is required, fire a workflow containing all info needed to notify users to resume execution.
-              "postToQueueWithTriggerIdRequest": { # LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 13 # Request to fire an event containing the SuspensionInfo message.
+              "postToQueueWithTriggerIdRequest": { # LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 14 # Request to fire an event containing the SuspensionInfo message.
                 "clientId": "A String", # Optional. If the client id is provided, then the combination of trigger id and client id is matched across all the workflows. If the client id is not provided, then workflows with matching trigger id are executed for each client id in the {@link TriggerConfig}. For Api Trigger, the client id is required and will be validated against the allowed clients.
                 "ignoreErrorIfNoActiveWorkflow": True or False, # Optional. Flag to determine whether clients would suppress a warning when no ACTIVE workflows are not found. If this flag is set to be true, an error will not be thrown if the requested trigger_id or client_id is not found in any ACTIVE workflow. Otherwise, the error is always thrown. The flag is set to be false by default.
                 "parameters": { # LINT.IfChange This message is used for processing and persisting (when applicable) key value pair parameters for each event in the event bus. Please see # Passed in as parameters to each workflow execution. Optional.
@@ -245,6 +245,7 @@ 
Method Details

                 "testMode": True or False, # Optional. Sets test mode in {@link enterprise/crm/eventbus/event_message.proto}.
                 "triggerId": "A String", # Matched against all {@link TriggerConfig}s across all workflows. i.e. TriggerConfig.trigger_id.equals(trigger_id) Required.
                 "userGeneratedExecutionId": "A String", # This is a unique id provided by the method caller. If provided this will be used as the execution_id when a new execution info is created. This is a string representation of a UUID. Must have no more than 36 characters and contain only alphanumeric characters and hyphens.
+                "workflowId": "A String", # Optional. Pins the enqueue to this exact version rather than the ACTIVE one on the trigger, so an unpublished draft can be tested. Requires client_id, and the version is validated before it is enqueued; see integrationplatform/api/executionsservice/README.md.
                 "workflowName": "A String", # Optional. If provided, the workflow_name is used to filter all the matched workflows having same trigger_id+client_id. A combination of trigger_id, client_id and workflow_name identifies a unique workflow.
               },
               "suspensionInfoEventParameterKey": "A String", # In the fired event, set the SuspensionInfo message as the value for this key.
@@ -346,7 +347,7 @@ 
Method Details

           "escalatorQueue": "A String",
           "pubsubTopic": "A String",
           "request": { # If the out-of-the-box email/pubsub notifications are not suitable and custom logic is required, fire a workflow containing all info needed to notify users to resume execution.
-            "postToQueueWithTriggerIdRequest": { # LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 13 # Request to fire an event containing the SuspensionInfo message.
+            "postToQueueWithTriggerIdRequest": { # LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 14 # Request to fire an event containing the SuspensionInfo message.
               "clientId": "A String", # Optional. If the client id is provided, then the combination of trigger id and client id is matched across all the workflows. If the client id is not provided, then workflows with matching trigger id are executed for each client id in the {@link TriggerConfig}. For Api Trigger, the client id is required and will be validated against the allowed clients.
               "ignoreErrorIfNoActiveWorkflow": True or False, # Optional. Flag to determine whether clients would suppress a warning when no ACTIVE workflows are not found. If this flag is set to be true, an error will not be thrown if the requested trigger_id or client_id is not found in any ACTIVE workflow. Otherwise, the error is always thrown. The flag is set to be false by default.
               "parameters": { # LINT.IfChange This message is used for processing and persisting (when applicable) key value pair parameters for each event in the event bus. Please see # Passed in as parameters to each workflow execution. Optional.
@@ -404,6 +405,7 @@ 
Method Details

               "testMode": True or False, # Optional. Sets test mode in {@link enterprise/crm/eventbus/event_message.proto}.
               "triggerId": "A String", # Matched against all {@link TriggerConfig}s across all workflows. i.e. TriggerConfig.trigger_id.equals(trigger_id) Required.
               "userGeneratedExecutionId": "A String", # This is a unique id provided by the method caller. If provided this will be used as the execution_id when a new execution info is created. This is a string representation of a UUID. Must have no more than 36 characters and contain only alphanumeric characters and hyphens.
+              "workflowId": "A String", # Optional. Pins the enqueue to this exact version rather than the ACTIVE one on the trigger, so an unpublished draft can be tested. Requires client_id, and the version is validated before it is enqueued; see integrationplatform/api/executionsservice/README.md.
               "workflowName": "A String", # Optional. If provided, the workflow_name is used to filter all the matched workflows having same trigger_id+client_id. A combination of trigger_id, client_id and workflow_name identifies a unique workflow.
             },
             "suspensionInfoEventParameterKey": "A String", # In the fired event, set the SuspensionInfo message as the value for this key.
diff --git a/docs/dyn/integrations_v1.projects.locations.integrations.html b/docs/dyn/integrations_v1.projects.locations.integrations.html
index b15ea681ee..cb3074f89a 100644
--- a/docs/dyn/integrations_v1.projects.locations.integrations.html
+++ b/docs/dyn/integrations_v1.projects.locations.integrations.html
@@ -704,11 +704,12 @@ 
Method Details

     The object takes the form of:
 
 { # The request for testing an integration.
-  "asyncExecution": True or False, # Optional. Runs the test asynchronously, by enqueueing it through the real execution queue under `trigger_id` instead of running the task graph inline. Default `false`, which preserves the existing synchronous behavior. The enqueued request carries no caller identity, so it is drained under the integration's run-as service account, exactly as a real Cloud Scheduler, cron, Pub/Sub, Salesforce or connector fire would be. That is the only way to verify the credential path an asynchronous trigger actually takes; a synchronous test always carries the caller's own credential and so exercises the opposite branch. When `true`: * Only the **published** (`ACTIVE`) version runs. The asynchronous path resolves the integration from storage by `trigger_id`, so a draft cannot be tested this way. `integration_version` must therefore carry only `name`; supplying any other field is rejected, rather than silently running something other than what was passed. * The response carries `execution_id` only. `execution_failed`, `event_parameters`, `parameters` and `parameter_entries` describe a finished run and are left unset, because nothing has run yet. In particular, do not read `execution_failed` as a pass signal. * The run is real, with real side effects, quota and concurrency. No actual Pub/Sub push or Cloud Scheduler tick occurs; only the enqueue is simulated, which does not change the credential path.
+  "asyncExecution": True or False, # Optional. Runs the test asynchronously, by enqueueing it through the real execution queue under `trigger_id` instead of running the task graph inline. Default `false`, which preserves the existing synchronous behavior. The enqueued request carries no caller identity, so it is drained under the integration's run-as service account, exactly as a real Cloud Scheduler, cron, Pub/Sub, Salesforce or connector fire would be. That is the only way to verify the credential path an asynchronous trigger actually takes; a synchronous test always carries the caller's own credential and so exercises the opposite branch. When `true`: * The version named by `integration_version.name` runs. A name ending in `/versions/{version}` runs that exact version, published or draft; a name without one runs the published (`ACTIVE`) version on the trigger. Either way the integration is resolved from storage, so `integration_version` must carry only `name`; supplying any other field is rejected, rather than silently running something other than what was passed. * A draft is validated before it is enqueued, including the check that the caller may act as the integration's run-as service account. Testing a draft therefore fails fast on a configuration a publish would reject. * The response carries `execution_id` only. `execution_failed`, `event_parameters`, `parameters` and `parameter_entries` describe a finished run and are left unset, because nothing has run yet. In particular, do not read `execution_failed` as a pass signal. * The run is real, with real side effects, quota and concurrency. No actual Pub/Sub push or Cloud Scheduler tick occurs; only the enqueue is simulated, which does not change the credential path.
   "clientId": "A String", # Required. This is used to identify the client on whose behalf the event will be executed.
   "configParameters": { # Optional. Config parameters used during integration execution.
     "a_key": "", # Properties of the object.
   },
+  "credentialMode": "A String", # Optional. The credential flow to run the test under. Applies to synchronous tests only. When unset, the default depends on when the test runs: before the EUC hardening cutover it is `CREDENTIAL_MODE_CURRENT`; from the cutover on it is `CREDENTIAL_MODE_HARDENED`, whatever the integration's stored disposition. Where the hardened flow cannot be evaluated, an unset mode runs `CREDENTIAL_MODE_CURRENT` instead of failing. The response's `credential_mode` reports the mode that ran.
   "deadlineSecondsTime": "A String", # Optional. custom deadline of the rpc
   "inputParameters": { # Optional. Input parameters used during integration execution.
     "a_key": { # The type of the parameter.
@@ -771,6 +772,7 @@ 
Method Details

         ],
       },
     ],
+    "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
     "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
       { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
         "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -1843,6 +1845,8 @@ 
Method Details

   An object of the form:
 
     { # The response for testing an integration.
+  "credentialMode": "A String", # The credential flow the test ran under. Unset for asynchronous tests.
+  "eucHardeningDisposition": "A String", # The EUC hardening disposition stored for the tested integration, read before the run. Unset for asynchronous tests.
   "eventParameters": { # LINT.IfChange This message is used for processing and persisting (when applicable) key value pair parameters for each event in the event bus. Please see # Details for the integration that were executed.
     "parameters": [ # Parameters are a part of Event and can be used to communicate between different tasks that are part of the same workflow execution.
       { # Key-value pair of EventBus parameters.
@@ -1894,6 +1898,9 @@ 
Method Details

   },
   "executionFailed": True or False, # Is true if any execution in the integration failed. False otherwise.
   "executionId": "A String", # The id of the execution corresponding to this run of integration.
+  "hardenedPaths": [ # The credential paths the hardened flow covers for this test: each one that a task in the tested integration reaches and that the server running the test hardens, whatever the credential mode. A `CREDENTIAL_MODE_CURRENT` test of an integration not stored as hardened usually lists none, and a `CREDENTIAL_MODE_HARDENED` response with no paths means nothing in this integration was hardened. Empty where the hardened flow is switched off. Unset for asynchronous tests. Derived from the integration's task types before the run: it reports presence in the graph, not execution, so a task on a branch that did not run is still counted, as is a Call Integration task that runs as a configured service account. A sub-integration's own tasks are not included; each runs under its own stored disposition. Integration Connectors tasks and Cloud Scheduler triggers are never reported: the services they call do not yet accept the hardened credential.
+    "A String",
+  ],
   "parameterEntries": [ # Parameters are a part of Event and can be used to communicate between different tasks that are part of the same integration execution.
     { # Key-value pair of EventBus parameters.
       "dataType": "A String", # Explicitly getting the type of the parameter.
diff --git a/docs/dyn/integrations_v1.projects.locations.integrations.versions.html b/docs/dyn/integrations_v1.projects.locations.integrations.versions.html
index ae89f939f0..251f37e7a8 100644
--- a/docs/dyn/integrations_v1.projects.locations.integrations.versions.html
+++ b/docs/dyn/integrations_v1.projects.locations.integrations.versions.html
@@ -165,6 +165,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -1218,6 +1219,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -2340,6 +2342,7 @@ 
Method Details

             ],
           },
         ],
+        "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
         "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
           { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
             "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -3402,6 +3405,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -4467,6 +4471,7 @@ 
Method Details

           ],
         },
       ],
+      "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
       "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
         { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
           "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -5538,6 +5543,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -6590,6 +6596,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -7639,11 +7646,12 @@ 
Method Details

     The object takes the form of:
 
 { # The request for testing an integration.
-  "asyncExecution": True or False, # Optional. Runs the test asynchronously, by enqueueing it through the real execution queue under `trigger_id` instead of running the task graph inline. Default `false`, which preserves the existing synchronous behavior. The enqueued request carries no caller identity, so it is drained under the integration's run-as service account, exactly as a real Cloud Scheduler, cron, Pub/Sub, Salesforce or connector fire would be. That is the only way to verify the credential path an asynchronous trigger actually takes; a synchronous test always carries the caller's own credential and so exercises the opposite branch. When `true`: * Only the **published** (`ACTIVE`) version runs. The asynchronous path resolves the integration from storage by `trigger_id`, so a draft cannot be tested this way. `integration_version` must therefore carry only `name`; supplying any other field is rejected, rather than silently running something other than what was passed. * The response carries `execution_id` only. `execution_failed`, `event_parameters`, `parameters` and `parameter_entries` describe a finished run and are left unset, because nothing has run yet. In particular, do not read `execution_failed` as a pass signal. * The run is real, with real side effects, quota and concurrency. No actual Pub/Sub push or Cloud Scheduler tick occurs; only the enqueue is simulated, which does not change the credential path.
+  "asyncExecution": True or False, # Optional. Runs the test asynchronously, by enqueueing it through the real execution queue under `trigger_id` instead of running the task graph inline. Default `false`, which preserves the existing synchronous behavior. The enqueued request carries no caller identity, so it is drained under the integration's run-as service account, exactly as a real Cloud Scheduler, cron, Pub/Sub, Salesforce or connector fire would be. That is the only way to verify the credential path an asynchronous trigger actually takes; a synchronous test always carries the caller's own credential and so exercises the opposite branch. When `true`: * The version named by `integration_version.name` runs. A name ending in `/versions/{version}` runs that exact version, published or draft; a name without one runs the published (`ACTIVE`) version on the trigger. Either way the integration is resolved from storage, so `integration_version` must carry only `name`; supplying any other field is rejected, rather than silently running something other than what was passed. * A draft is validated before it is enqueued, including the check that the caller may act as the integration's run-as service account. Testing a draft therefore fails fast on a configuration a publish would reject. * The response carries `execution_id` only. `execution_failed`, `event_parameters`, `parameters` and `parameter_entries` describe a finished run and are left unset, because nothing has run yet. In particular, do not read `execution_failed` as a pass signal. * The run is real, with real side effects, quota and concurrency. No actual Pub/Sub push or Cloud Scheduler tick occurs; only the enqueue is simulated, which does not change the credential path.
   "clientId": "A String", # Required. This is used to identify the client on whose behalf the event will be executed.
   "configParameters": { # Optional. Config parameters used during integration execution.
     "a_key": "", # Properties of the object.
   },
+  "credentialMode": "A String", # Optional. The credential flow to run the test under. Applies to synchronous tests only. When unset, the default depends on when the test runs: before the EUC hardening cutover it is `CREDENTIAL_MODE_CURRENT`; from the cutover on it is `CREDENTIAL_MODE_HARDENED`, whatever the integration's stored disposition. Where the hardened flow cannot be evaluated, an unset mode runs `CREDENTIAL_MODE_CURRENT` instead of failing. The response's `credential_mode` reports the mode that ran.
   "deadlineSecondsTime": "A String", # Optional. custom deadline of the rpc
   "inputParameters": { # Optional. Input parameters used during integration execution.
     "a_key": { # The type of the parameter.
@@ -7706,6 +7714,7 @@ 
Method Details

         ],
       },
     ],
+    "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
     "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
       { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
         "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -8778,6 +8787,8 @@ 
Method Details

   An object of the form:
 
     { # The response for testing an integration.
+  "credentialMode": "A String", # The credential flow the test ran under. Unset for asynchronous tests.
+  "eucHardeningDisposition": "A String", # The EUC hardening disposition stored for the tested integration, read before the run. Unset for asynchronous tests.
   "eventParameters": { # LINT.IfChange This message is used for processing and persisting (when applicable) key value pair parameters for each event in the event bus. Please see # Details for the integration that were executed.
     "parameters": [ # Parameters are a part of Event and can be used to communicate between different tasks that are part of the same workflow execution.
       { # Key-value pair of EventBus parameters.
@@ -8829,6 +8840,9 @@ 
Method Details

   },
   "executionFailed": True or False, # Is true if any execution in the integration failed. False otherwise.
   "executionId": "A String", # The id of the execution corresponding to this run of integration.
+  "hardenedPaths": [ # The credential paths the hardened flow covers for this test: each one that a task in the tested integration reaches and that the server running the test hardens, whatever the credential mode. A `CREDENTIAL_MODE_CURRENT` test of an integration not stored as hardened usually lists none, and a `CREDENTIAL_MODE_HARDENED` response with no paths means nothing in this integration was hardened. Empty where the hardened flow is switched off. Unset for asynchronous tests. Derived from the integration's task types before the run: it reports presence in the graph, not execution, so a task on a branch that did not run is still counted, as is a Call Integration task that runs as a configured service account. A sub-integration's own tasks are not included; each runs under its own stored disposition. Integration Connectors tasks and Cloud Scheduler triggers are never reported: the services they call do not yet accept the hardened credential.
+    "A String",
+  ],
   "parameterEntries": [ # Parameters are a part of Event and can be used to communicate between different tasks that are part of the same integration execution.
     { # Key-value pair of EventBus parameters.
       "dataType": "A String", # Explicitly getting the type of the parameter.
@@ -8987,6 +9001,7 @@ 
Method Details

         ],
       },
     ],
+    "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
     "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
       { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
         "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
diff --git a/docs/dyn/integrations_v1.projects.locations.products.integrations.executions.suspensions.html b/docs/dyn/integrations_v1.projects.locations.products.integrations.executions.suspensions.html
index 072c1e0c4b..528c81e6c1 100644
--- a/docs/dyn/integrations_v1.projects.locations.products.integrations.executions.suspensions.html
+++ b/docs/dyn/integrations_v1.projects.locations.products.integrations.executions.suspensions.html
@@ -187,7 +187,7 @@ 
Method Details

             "escalatorQueue": "A String",
             "pubsubTopic": "A String",
             "request": { # If the out-of-the-box email/pubsub notifications are not suitable and custom logic is required, fire a workflow containing all info needed to notify users to resume execution.
-              "postToQueueWithTriggerIdRequest": { # LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 13 # Request to fire an event containing the SuspensionInfo message.
+              "postToQueueWithTriggerIdRequest": { # LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 14 # Request to fire an event containing the SuspensionInfo message.
                 "clientId": "A String", # Optional. If the client id is provided, then the combination of trigger id and client id is matched across all the workflows. If the client id is not provided, then workflows with matching trigger id are executed for each client id in the {@link TriggerConfig}. For Api Trigger, the client id is required and will be validated against the allowed clients.
                 "ignoreErrorIfNoActiveWorkflow": True or False, # Optional. Flag to determine whether clients would suppress a warning when no ACTIVE workflows are not found. If this flag is set to be true, an error will not be thrown if the requested trigger_id or client_id is not found in any ACTIVE workflow. Otherwise, the error is always thrown. The flag is set to be false by default.
                 "parameters": { # LINT.IfChange This message is used for processing and persisting (when applicable) key value pair parameters for each event in the event bus. Please see # Passed in as parameters to each workflow execution. Optional.
@@ -245,6 +245,7 @@ 
Method Details

                 "testMode": True or False, # Optional. Sets test mode in {@link enterprise/crm/eventbus/event_message.proto}.
                 "triggerId": "A String", # Matched against all {@link TriggerConfig}s across all workflows. i.e. TriggerConfig.trigger_id.equals(trigger_id) Required.
                 "userGeneratedExecutionId": "A String", # This is a unique id provided by the method caller. If provided this will be used as the execution_id when a new execution info is created. This is a string representation of a UUID. Must have no more than 36 characters and contain only alphanumeric characters and hyphens.
+                "workflowId": "A String", # Optional. Pins the enqueue to this exact version rather than the ACTIVE one on the trigger, so an unpublished draft can be tested. Requires client_id, and the version is validated before it is enqueued; see integrationplatform/api/executionsservice/README.md.
                 "workflowName": "A String", # Optional. If provided, the workflow_name is used to filter all the matched workflows having same trigger_id+client_id. A combination of trigger_id, client_id and workflow_name identifies a unique workflow.
               },
               "suspensionInfoEventParameterKey": "A String", # In the fired event, set the SuspensionInfo message as the value for this key.
@@ -346,7 +347,7 @@ 
Method Details

           "escalatorQueue": "A String",
           "pubsubTopic": "A String",
           "request": { # If the out-of-the-box email/pubsub notifications are not suitable and custom logic is required, fire a workflow containing all info needed to notify users to resume execution.
-            "postToQueueWithTriggerIdRequest": { # LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 13 # Request to fire an event containing the SuspensionInfo message.
+            "postToQueueWithTriggerIdRequest": { # LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 14 # Request to fire an event containing the SuspensionInfo message.
               "clientId": "A String", # Optional. If the client id is provided, then the combination of trigger id and client id is matched across all the workflows. If the client id is not provided, then workflows with matching trigger id are executed for each client id in the {@link TriggerConfig}. For Api Trigger, the client id is required and will be validated against the allowed clients.
               "ignoreErrorIfNoActiveWorkflow": True or False, # Optional. Flag to determine whether clients would suppress a warning when no ACTIVE workflows are not found. If this flag is set to be true, an error will not be thrown if the requested trigger_id or client_id is not found in any ACTIVE workflow. Otherwise, the error is always thrown. The flag is set to be false by default.
               "parameters": { # LINT.IfChange This message is used for processing and persisting (when applicable) key value pair parameters for each event in the event bus. Please see # Passed in as parameters to each workflow execution. Optional.
@@ -404,6 +405,7 @@ 
Method Details

               "testMode": True or False, # Optional. Sets test mode in {@link enterprise/crm/eventbus/event_message.proto}.
               "triggerId": "A String", # Matched against all {@link TriggerConfig}s across all workflows. i.e. TriggerConfig.trigger_id.equals(trigger_id) Required.
               "userGeneratedExecutionId": "A String", # This is a unique id provided by the method caller. If provided this will be used as the execution_id when a new execution info is created. This is a string representation of a UUID. Must have no more than 36 characters and contain only alphanumeric characters and hyphens.
+              "workflowId": "A String", # Optional. Pins the enqueue to this exact version rather than the ACTIVE one on the trigger, so an unpublished draft can be tested. Requires client_id, and the version is validated before it is enqueued; see integrationplatform/api/executionsservice/README.md.
               "workflowName": "A String", # Optional. If provided, the workflow_name is used to filter all the matched workflows having same trigger_id+client_id. A combination of trigger_id, client_id and workflow_name identifies a unique workflow.
             },
             "suspensionInfoEventParameterKey": "A String", # In the fired event, set the SuspensionInfo message as the value for this key.
diff --git a/docs/dyn/integrations_v1.projects.locations.products.integrations.html b/docs/dyn/integrations_v1.projects.locations.products.integrations.html
index 3565bf9076..a40c964864 100644
--- a/docs/dyn/integrations_v1.projects.locations.products.integrations.html
+++ b/docs/dyn/integrations_v1.projects.locations.products.integrations.html
@@ -603,11 +603,12 @@ 
Method Details

     The object takes the form of:
 
 { # The request for testing an integration.
-  "asyncExecution": True or False, # Optional. Runs the test asynchronously, by enqueueing it through the real execution queue under `trigger_id` instead of running the task graph inline. Default `false`, which preserves the existing synchronous behavior. The enqueued request carries no caller identity, so it is drained under the integration's run-as service account, exactly as a real Cloud Scheduler, cron, Pub/Sub, Salesforce or connector fire would be. That is the only way to verify the credential path an asynchronous trigger actually takes; a synchronous test always carries the caller's own credential and so exercises the opposite branch. When `true`: * Only the **published** (`ACTIVE`) version runs. The asynchronous path resolves the integration from storage by `trigger_id`, so a draft cannot be tested this way. `integration_version` must therefore carry only `name`; supplying any other field is rejected, rather than silently running something other than what was passed. * The response carries `execution_id` only. `execution_failed`, `event_parameters`, `parameters` and `parameter_entries` describe a finished run and are left unset, because nothing has run yet. In particular, do not read `execution_failed` as a pass signal. * The run is real, with real side effects, quota and concurrency. No actual Pub/Sub push or Cloud Scheduler tick occurs; only the enqueue is simulated, which does not change the credential path.
+  "asyncExecution": True or False, # Optional. Runs the test asynchronously, by enqueueing it through the real execution queue under `trigger_id` instead of running the task graph inline. Default `false`, which preserves the existing synchronous behavior. The enqueued request carries no caller identity, so it is drained under the integration's run-as service account, exactly as a real Cloud Scheduler, cron, Pub/Sub, Salesforce or connector fire would be. That is the only way to verify the credential path an asynchronous trigger actually takes; a synchronous test always carries the caller's own credential and so exercises the opposite branch. When `true`: * The version named by `integration_version.name` runs. A name ending in `/versions/{version}` runs that exact version, published or draft; a name without one runs the published (`ACTIVE`) version on the trigger. Either way the integration is resolved from storage, so `integration_version` must carry only `name`; supplying any other field is rejected, rather than silently running something other than what was passed. * A draft is validated before it is enqueued, including the check that the caller may act as the integration's run-as service account. Testing a draft therefore fails fast on a configuration a publish would reject. * The response carries `execution_id` only. `execution_failed`, `event_parameters`, `parameters` and `parameter_entries` describe a finished run and are left unset, because nothing has run yet. In particular, do not read `execution_failed` as a pass signal. * The run is real, with real side effects, quota and concurrency. No actual Pub/Sub push or Cloud Scheduler tick occurs; only the enqueue is simulated, which does not change the credential path.
   "clientId": "A String", # Required. This is used to identify the client on whose behalf the event will be executed.
   "configParameters": { # Optional. Config parameters used during integration execution.
     "a_key": "", # Properties of the object.
   },
+  "credentialMode": "A String", # Optional. The credential flow to run the test under. Applies to synchronous tests only. When unset, the default depends on when the test runs: before the EUC hardening cutover it is `CREDENTIAL_MODE_CURRENT`; from the cutover on it is `CREDENTIAL_MODE_HARDENED`, whatever the integration's stored disposition. Where the hardened flow cannot be evaluated, an unset mode runs `CREDENTIAL_MODE_CURRENT` instead of failing. The response's `credential_mode` reports the mode that ran.
   "deadlineSecondsTime": "A String", # Optional. custom deadline of the rpc
   "inputParameters": { # Optional. Input parameters used during integration execution.
     "a_key": { # The type of the parameter.
@@ -670,6 +671,7 @@ 
Method Details

         ],
       },
     ],
+    "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
     "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
       { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
         "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -1742,6 +1744,8 @@ 
Method Details

   An object of the form:
 
     { # The response for testing an integration.
+  "credentialMode": "A String", # The credential flow the test ran under. Unset for asynchronous tests.
+  "eucHardeningDisposition": "A String", # The EUC hardening disposition stored for the tested integration, read before the run. Unset for asynchronous tests.
   "eventParameters": { # LINT.IfChange This message is used for processing and persisting (when applicable) key value pair parameters for each event in the event bus. Please see # Details for the integration that were executed.
     "parameters": [ # Parameters are a part of Event and can be used to communicate between different tasks that are part of the same workflow execution.
       { # Key-value pair of EventBus parameters.
@@ -1793,6 +1797,9 @@ 
Method Details

   },
   "executionFailed": True or False, # Is true if any execution in the integration failed. False otherwise.
   "executionId": "A String", # The id of the execution corresponding to this run of integration.
+  "hardenedPaths": [ # The credential paths the hardened flow covers for this test: each one that a task in the tested integration reaches and that the server running the test hardens, whatever the credential mode. A `CREDENTIAL_MODE_CURRENT` test of an integration not stored as hardened usually lists none, and a `CREDENTIAL_MODE_HARDENED` response with no paths means nothing in this integration was hardened. Empty where the hardened flow is switched off. Unset for asynchronous tests. Derived from the integration's task types before the run: it reports presence in the graph, not execution, so a task on a branch that did not run is still counted, as is a Call Integration task that runs as a configured service account. A sub-integration's own tasks are not included; each runs under its own stored disposition. Integration Connectors tasks and Cloud Scheduler triggers are never reported: the services they call do not yet accept the hardened credential.
+    "A String",
+  ],
   "parameterEntries": [ # Parameters are a part of Event and can be used to communicate between different tasks that are part of the same integration execution.
     { # Key-value pair of EventBus parameters.
       "dataType": "A String", # Explicitly getting the type of the parameter.
diff --git a/docs/dyn/integrations_v1.projects.locations.products.integrations.versions.html b/docs/dyn/integrations_v1.projects.locations.products.integrations.versions.html
index 2e193b8168..c6fc18b66c 100644
--- a/docs/dyn/integrations_v1.projects.locations.products.integrations.versions.html
+++ b/docs/dyn/integrations_v1.projects.locations.products.integrations.versions.html
@@ -157,6 +157,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -1210,6 +1211,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -2321,6 +2323,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -3386,6 +3389,7 @@ 
Method Details

           ],
         },
       ],
+      "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
       "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
         { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
           "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -4457,6 +4461,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -5509,6 +5514,7 @@ 
Method Details

       ],
     },
   ],
+  "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
   "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
     { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
       "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -6601,6 +6607,7 @@ 
Method Details

         ],
       },
     ],
+    "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
     "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
       { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
         "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -7693,6 +7700,7 @@ 
Method Details

         ],
       },
     ],
+    "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
     "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
       { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
         "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
diff --git a/docs/dyn/integrations_v1.projects.locations.templates.html b/docs/dyn/integrations_v1.projects.locations.templates.html
index 297d3fe2aa..c5be2cdd11 100644
--- a/docs/dyn/integrations_v1.projects.locations.templates.html
+++ b/docs/dyn/integrations_v1.projects.locations.templates.html
@@ -191,6 +191,7 @@ 
Method Details

             ],
           },
         ],
+        "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
         "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
           { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
             "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -1237,6 +1238,7 @@ 
Method Details

               ],
             },
           ],
+          "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
           "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
             { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
               "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -2322,6 +2324,7 @@ 
Method Details

             ],
           },
         ],
+        "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
         "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
           { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
             "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -3368,6 +3371,7 @@ 
Method Details

               ],
             },
           ],
+          "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
           "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
             { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
               "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -4502,6 +4506,7 @@ 
Method Details

             ],
           },
         ],
+        "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
         "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
           { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
             "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -5548,6 +5553,7 @@ 
Method Details

               ],
             },
           ],
+          "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
           "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
             { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
               "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -6629,6 +6635,7 @@ 
Method Details

         ],
       },
     ],
+    "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
     "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
       { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
         "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -7672,6 +7679,7 @@ 
Method Details

           ],
         },
       ],
+      "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
       "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
         { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
           "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -8765,6 +8773,7 @@ 
Method Details

                 ],
               },
             ],
+            "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
             "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
               { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
                 "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -9811,6 +9820,7 @@ 
Method Details

                   ],
                 },
               ],
+              "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
               "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
                 { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
                   "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -10914,6 +10924,7 @@ 
Method Details

             ],
           },
         ],
+        "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
         "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
           { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
             "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -11960,6 +11971,7 @@ 
Method Details

               ],
             },
           ],
+          "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
           "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
             { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
               "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -13046,6 +13058,7 @@ 
Method Details

             ],
           },
         ],
+        "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
         "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
           { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
             "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -14092,6 +14105,7 @@ 
Method Details

               ],
             },
           ],
+          "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
           "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
             { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
               "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -15194,6 +15208,7 @@ 
Method Details

                 ],
               },
             ],
+            "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
             "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
               { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
                 "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -16240,6 +16255,7 @@ 
Method Details

                   ],
                 },
               ],
+              "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
               "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
                 { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
                   "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -17411,6 +17427,7 @@ 
Method Details

               ],
             },
           ],
+          "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
           "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
             { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
               "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -18457,6 +18474,7 @@ 
Method Details

                 ],
               },
             ],
+            "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
             "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
               { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
                 "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -19543,6 +19561,7 @@ 
Method Details

         ],
       },
     ],
+    "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
     "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
       { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
         "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
@@ -20586,6 +20605,7 @@ 
Method Details

           ],
         },
       ],
+      "eucHardeningDisposition": "A String", # Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.
       "integrationConfigParameters": [ # Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.
         { # Integration Config Parameter is defined in the integration config and are used to provide external configuration for integration. It provide information about data types of the expected parameters and provide any default values or value. They can also be used to add custom attributes.
           "parameter": { # Integration Parameter is defined in the integration config and are used to provide information about data types of the expected parameters and provide any default values if needed. They can also be used to add custom attributes. These are static in nature and should not be used for dynamic event definition. # Optional. Integration Parameter to provide the default value, data type and attributes required for the Integration config variables.
diff --git a/googleapiclient/discovery_cache/documents/integrations.v1.json b/googleapiclient/discovery_cache/documents/integrations.v1.json
index 89e52602cb..3e870d3b8d 100644
--- a/googleapiclient/discovery_cache/documents/integrations.v1.json
+++ b/googleapiclient/discovery_cache/documents/integrations.v1.json
@@ -4668,7 +4668,7 @@
 }
 }
 },
-"revision": "20260927",
+"revision": "20261004",
 "rootUrl": "https://integrations.googleapis.com/",
 "schemas": {
 "CrmlogErrorCode": {
@@ -12486,6 +12486,21 @@ false
 },
 "type": "array"
 },
+"eucHardeningDisposition": {
+"description": "Output only. The EUC hardening disposition of this version. Set by the service when the integration is first created and inherited unchanged by every later version, so all versions of an integration report the same value.",
+"enum": [
+"EUC_HARDENING_DISPOSITION_UNSPECIFIED",
+"LEGACY",
+"HARDENED"
+],
+"enumDescriptions": [
+"Not recorded: the version predates the disposition, or the integration was created before a cutover date applied to its region.",
+"The integration was first created before the cutover.",
+"The integration was first created at or after the cutover."
+],
+"readOnly": true,
+"type": "string"
+},
 "integrationConfigParameters": {
 "description": "Optional. Config Parameters that are expected to be passed to the integration when an integration is published. This consists of all the parameters that are expected to provide configuration in the integration execution. This gives the user the ability to provide default values, value, add information like connection url, project based configuration value and also provide data types of each parameter.",
 "items": {
@@ -14581,7 +14596,7 @@ false
 "id": "GoogleCloudIntegrationsV1alphaTestIntegrationsRequest",
 "properties": {
 "asyncExecution": {
-"description": "Optional. Runs the test asynchronously, by enqueueing it through the real execution queue under `trigger_id` instead of running the task graph inline. Default `false`, which preserves the existing synchronous behavior. The enqueued request carries no caller identity, so it is drained under the integration's run-as service account, exactly as a real Cloud Scheduler, cron, Pub/Sub, Salesforce or connector fire would be. That is the only way to verify the credential path an asynchronous trigger actually takes; a synchronous test always carries the caller's own credential and so exercises the opposite branch. When `true`: * Only the **published** (`ACTIVE`) version runs. The asynchronous path resolves the integration from storage by `trigger_id`, so a draft cannot be tested this way. `integration_version` must therefore carry only `name`; supplying any other field is rejected, rather than silently running something other than what was passed. * The response carries `execution_id` only. `execution_failed`, `event_parameters`, `parameters` and `parameter_entries` describe a finished run and are left unset, because nothing has run yet. In particular, do not read `execution_failed` as a pass signal. * The run is real, with real side effects, quota and concurrency. No actual Pub/Sub push or Cloud Scheduler tick occurs; only the enqueue is simulated, which does not change the credential path.",
+"description": "Optional. Runs the test asynchronously, by enqueueing it through the real execution queue under `trigger_id` instead of running the task graph inline. Default `false`, which preserves the existing synchronous behavior. The enqueued request carries no caller identity, so it is drained under the integration's run-as service account, exactly as a real Cloud Scheduler, cron, Pub/Sub, Salesforce or connector fire would be. That is the only way to verify the credential path an asynchronous trigger actually takes; a synchronous test always carries the caller's own credential and so exercises the opposite branch. When `true`: * The version named by `integration_version.name` runs. A name ending in `/versions/{version}` runs that exact version, published or draft; a name without one runs the published (`ACTIVE`) version on the trigger. Either way the integration is resolved from storage, so `integration_version` must carry only `name`; supplying any other field is rejected, rather than silently running something other than what was passed. * A draft is validated before it is enqueued, including the check that the caller may act as the integration's run-as service account. Testing a draft therefore fails fast on a configuration a publish would reject. * The response carries `execution_id` only. `execution_failed`, `event_parameters`, `parameters` and `parameter_entries` describe a finished run and are left unset, because nothing has run yet. In particular, do not read `execution_failed` as a pass signal. * The run is real, with real side effects, quota and concurrency. No actual Pub/Sub push or Cloud Scheduler tick occurs; only the enqueue is simulated, which does not change the credential path.",
 "type": "boolean"
 },
 "clientId": {
@@ -14596,6 +14611,20 @@ false
 "description": "Optional. Config parameters used during integration execution.",
 "type": "object"
 },
+"credentialMode": {
+"description": "Optional. The credential flow to run the test under. Applies to synchronous tests only. When unset, the default depends on when the test runs: before the EUC hardening cutover it is `CREDENTIAL_MODE_CURRENT`; from the cutover on it is `CREDENTIAL_MODE_HARDENED`, whatever the integration's stored disposition. Where the hardened flow cannot be evaluated, an unset mode runs `CREDENTIAL_MODE_CURRENT` instead of failing. The response's `credential_mode` reports the mode that ran.",
+"enum": [
+"CREDENTIAL_MODE_UNSPECIFIED",
+"CREDENTIAL_MODE_CURRENT",
+"CREDENTIAL_MODE_HARDENED"
+],
+"enumDescriptions": [
+"Resolves based on when the test runs; see `TestIntegrationsRequest.credential_mode`.",
+"The flow production runs for this integration today.",
+"The flow an integration created after the EUC hardening cutover runs. Covers this integration's own tasks; a sub-integration it calls runs under its own stored disposition. When requested explicitly, fails with `FAILED_PRECONDITION` where the hardened flow cannot be evaluated, and with `UNIMPLEMENTED` for asynchronous tests."
+],
+"type": "string"
+},
 "deadlineSecondsTime": {
 "description": "Optional. custom deadline of the rpc",
 "format": "google-datetime",
@@ -14632,6 +14661,34 @@ false
 "description": "The response for testing an integration.",
 "id": "GoogleCloudIntegrationsV1alphaTestIntegrationsResponse",
 "properties": {
+"credentialMode": {
+"description": "The credential flow the test ran under. Unset for asynchronous tests.",
+"enum": [
+"CREDENTIAL_MODE_UNSPECIFIED",
+"CREDENTIAL_MODE_CURRENT",
+"CREDENTIAL_MODE_HARDENED"
+],
+"enumDescriptions": [
+"Resolves based on when the test runs; see `TestIntegrationsRequest.credential_mode`.",
+"The flow production runs for this integration today.",
+"The flow an integration created after the EUC hardening cutover runs. Covers this integration's own tasks; a sub-integration it calls runs under its own stored disposition. When requested explicitly, fails with `FAILED_PRECONDITION` where the hardened flow cannot be evaluated, and with `UNIMPLEMENTED` for asynchronous tests."
+],
+"type": "string"
+},
+"eucHardeningDisposition": {
+"description": "The EUC hardening disposition stored for the tested integration, read before the run. Unset for asynchronous tests.",
+"enum": [
+"EUC_HARDENING_DISPOSITION_UNSPECIFIED",
+"LEGACY",
+"HARDENED"
+],
+"enumDescriptions": [
+"Not recorded: the version predates the disposition, or the integration was created before a cutover date applied to its region.",
+"The integration was first created before the cutover.",
+"The integration was first created at or after the cutover."
+],
+"type": "string"
+},
 "eventParameters": {
 "$ref": "EnterpriseCrmFrontendsEventbusProtoEventParameters",
 "deprecated": true,
@@ -14645,6 +14702,25 @@ false
 "description": "The id of the execution corresponding to this run of integration.",
 "type": "string"
 },
+"hardenedPaths": {
+"description": "The credential paths the hardened flow covers for this test: each one that a task in the tested integration reaches and that the server running the test hardens, whatever the credential mode. A `CREDENTIAL_MODE_CURRENT` test of an integration not stored as hardened usually lists none, and a `CREDENTIAL_MODE_HARDENED` response with no paths means nothing in this integration was hardened. Empty where the hardened flow is switched off. Unset for asynchronous tests. Derived from the integration's task types before the run: it reports presence in the graph, not execution, so a task on a branch that did not run is still counted, as is a Call Integration task that runs as a configured service account. A sub-integration's own tasks are not included; each runs under its own stored disposition. Integration Connectors tasks and Cloud Scheduler triggers are never reported: the services they call do not yet accept the hardened credential.",
+"items": {
+"enum": [
+"HARDENED_PATH_UNSPECIFIED",
+"SCRIPT_EVAL",
+"STUBBY_CALLER",
+"SUB_INTEGRATION"
+],
+"enumDescriptions": [
+"Unspecified.",
+"Script evaluation by JavaScript and Jsonnet tasks, including Data Transformer.",
+"The Generic Stubby task's lookup of the method it calls.",
+"A Call Integration task's call to the integration it calls."
+],
+"type": "string"
+},
+"type": "array"
+},
 "parameterEntries": {
 "deprecated": true,
 "description": "Parameters are a part of Event and can be used to communicate between different tasks that are part of the same integration execution.",
@@ -15074,7 +15150,7 @@ false
 "type": "object"
 },
 "GoogleInternalCloudCrmEventbusV3PostToQueueWithTriggerIdRequest": {
-"description": "LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 13",
+"description": "LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 14",
 "id": "GoogleInternalCloudCrmEventbusV3PostToQueueWithTriggerIdRequest",
 "properties": {
 "clientId": {
@@ -15137,6 +15213,10 @@ false
 "description": "This is a unique id provided by the method caller. If provided this will be used as the execution_id when a new execution info is created. This is a string representation of a UUID. Must have no more than 36 characters and contain only alphanumeric characters and hyphens.",
 "type": "string"
 },
+"workflowId": {
+"description": "Optional. Pins the enqueue to this exact version rather than the ACTIVE one on the trigger, so an unpublished draft can be tested. Requires client_id, and the version is validated before it is enqueued; see integrationplatform/api/executionsservice/README.md.",
+"type": "string"
+},
 "workflowName": {
 "description": "Optional. If provided, the workflow_name is used to filter all the matched workflows having same trigger_id+client_id. A combination of trigger_id, client_id and workflow_name identifies a unique workflow.",
 "type": "string"
diff --git a/googleapiclient/discovery_cache/documents/integrations.v2.json b/googleapiclient/discovery_cache/documents/integrations.v2.json
index d418851b5d..0a5eacfb56 100644
--- a/googleapiclient/discovery_cache/documents/integrations.v2.json
+++ b/googleapiclient/discovery_cache/documents/integrations.v2.json
@@ -459,7 +459,7 @@
 }
 }
 },
-"revision": "20260927",
+"revision": "20261004",
 "rootUrl": "https://integrations.googleapis.com/",
 "schemas": {
 "EnterpriseCrmEventbusAuthconfigAuthConfigTaskParam": {
@@ -3508,7 +3508,7 @@
 "type": "object"
 },
 "GoogleInternalCloudCrmEventbusV3PostToQueueWithTriggerIdRequest": {
-"description": "LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 13",
+"description": "LINT.IfChange Use this request to post all workflows associated with a given trigger id. Next available id: 14",
 "id": "GoogleInternalCloudCrmEventbusV3PostToQueueWithTriggerIdRequest",
 "properties": {
 "clientId": {
@@ -3571,6 +3571,10 @@
 "description": "This is a unique id provided by the method caller. If provided this will be used as the execution_id when a new execution info is created. This is a string representation of a UUID. Must have no more than 36 characters and contain only alphanumeric characters and hyphens.",
 "type": "string"
 },
+"workflowId": {
+"description": "Optional. Pins the enqueue to this exact version rather than the ACTIVE one on the trigger, so an unpublished draft can be tested. Requires client_id, and the version is validated before it is enqueued; see integrationplatform/api/executionsservice/README.md.",
+"type": "string"
+},
 "workflowName": {
 "description": "Optional. If provided, the workflow_name is used to filter all the matched workflows having same trigger_id+client_id. A combination of trigger_id, client_id and workflow_name identifies a unique workflow.",
 "type": "string"

From 2b41cbdf8ed9760ef4e2930fe753353c2ace4f95 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 22/32] feat(looker): update the api

#### looker:v1

The following keys were added:
- schemas.AuthType (Total Keys: 4)
- schemas.Instance.properties.authType.$ref (Total Keys: 1)
---
 ...ooker_v1.projects.locations.instances.html | 16 ++++++++++++++
 .../discovery_cache/documents/looker.v1.json  | 21 ++++++++++++++++++-
 2 files changed, 36 insertions(+), 1 deletion(-)

diff --git a/docs/dyn/looker_v1.projects.locations.instances.html b/docs/dyn/looker_v1.projects.locations.instances.html
index 06ceaf007c..b2eef77e70 100644
--- a/docs/dyn/looker_v1.projects.locations.instances.html
+++ b/docs/dyn/looker_v1.projects.locations.instances.html
@@ -137,6 +137,10 @@ 
Method Details

       "A String",
     ],
   },
+  "authType": { # Auth type for the Looker instance. # Optional. Auth type for the Looker instance.
+    "googleAuthEnabled": True or False, # Optional. Whether google auth is enabled on the Looker instance.
+    "workforceAuthEnabled": True or False, # Optional. Whether Workforce auth is enabled on the Looker instance.
+  },
   "catalogIntegrationOptOut": True or False, # Optional. Indicates whether catalog integration is disabled for the Looker instance.
   "classType": "A String", # Optional. Storage class of the instance.
   "consumerNetwork": "A String", # Network name in the consumer project. Format: `projects/{project}/global/networks/{network}`. Note that the consumer network may be in a different GCP project than the consumer project that is hosting the Looker Instance.
@@ -411,6 +415,10 @@ 
Method Details

       "A String",
     ],
   },
+  "authType": { # Auth type for the Looker instance. # Optional. Auth type for the Looker instance.
+    "googleAuthEnabled": True or False, # Optional. Whether google auth is enabled on the Looker instance.
+    "workforceAuthEnabled": True or False, # Optional. Whether Workforce auth is enabled on the Looker instance.
+  },
   "catalogIntegrationOptOut": True or False, # Optional. Indicates whether catalog integration is disabled for the Looker instance.
   "classType": "A String", # Optional. Storage class of the instance.
   "consumerNetwork": "A String", # Network name in the consumer project. Format: `projects/{project}/global/networks/{network}`. Note that the consumer network may be in a different GCP project than the consumer project that is hosting the Looker Instance.
@@ -622,6 +630,10 @@ 
Method Details

           "A String",
         ],
       },
+      "authType": { # Auth type for the Looker instance. # Optional. Auth type for the Looker instance.
+        "googleAuthEnabled": True or False, # Optional. Whether google auth is enabled on the Looker instance.
+        "workforceAuthEnabled": True or False, # Optional. Whether Workforce auth is enabled on the Looker instance.
+      },
       "catalogIntegrationOptOut": True or False, # Optional. Indicates whether catalog integration is disabled for the Looker instance.
       "classType": "A String", # Optional. Storage class of the instance.
       "consumerNetwork": "A String", # Network name in the consumer project. Format: `projects/{project}/global/networks/{network}`. Note that the consumer network may be in a different GCP project than the consumer project that is hosting the Looker Instance.
@@ -801,6 +813,10 @@ 
Method Details

       "A String",
     ],
   },
+  "authType": { # Auth type for the Looker instance. # Optional. Auth type for the Looker instance.
+    "googleAuthEnabled": True or False, # Optional. Whether google auth is enabled on the Looker instance.
+    "workforceAuthEnabled": True or False, # Optional. Whether Workforce auth is enabled on the Looker instance.
+  },
   "catalogIntegrationOptOut": True or False, # Optional. Indicates whether catalog integration is disabled for the Looker instance.
   "classType": "A String", # Optional. Storage class of the instance.
   "consumerNetwork": "A String", # Network name in the consumer project. Format: `projects/{project}/global/networks/{network}`. Note that the consumer network may be in a different GCP project than the consumer project that is hosting the Looker Instance.
diff --git a/googleapiclient/discovery_cache/documents/looker.v1.json b/googleapiclient/discovery_cache/documents/looker.v1.json
index 7ac6c2345a..0e65990465 100644
--- a/googleapiclient/discovery_cache/documents/looker.v1.json
+++ b/googleapiclient/discovery_cache/documents/looker.v1.json
@@ -800,7 +800,7 @@
 }
 }
 },
-"revision": "20260916",
+"revision": "20260927",
 "rootUrl": "https://looker.googleapis.com/",
 "schemas": {
 "AdminSettings": {
@@ -817,6 +817,21 @@
 },
 "type": "object"
 },
+"AuthType": {
+"description": "Auth type for the Looker instance.",
+"id": "AuthType",
+"properties": {
+"googleAuthEnabled": {
+"description": "Optional. Whether google auth is enabled on the Looker instance.",
+"type": "boolean"
+},
+"workforceAuthEnabled": {
+"description": "Optional. Whether Workforce auth is enabled on the Looker instance.",
+"type": "boolean"
+}
+},
+"type": "object"
+},
 "CancelOperationRequest": {
 "description": "The request message for Operations.CancelOperation.",
 "id": "CancelOperationRequest",
@@ -1187,6 +1202,10 @@
 "$ref": "AdminSettings",
 "description": "Looker Instance Admin settings."
 },
+"authType": {
+"$ref": "AuthType",
+"description": "Optional. Auth type for the Looker instance."
+},
 "catalogIntegrationOptOut": {
 "description": "Optional. Indicates whether catalog integration is disabled for the Looker instance.",
 "type": "boolean"

From cde10fe2ca03c0a746433d5ca4aef88e3c17f1fe Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 23/32] feat(networkmanagement): update the api

#### networkmanagement:v1

The following keys were added:
- schemas.EffectiveVpcFlowLogsConfig.properties.connectionLogging.type (Total Keys: 1)
- schemas.VpcFlowLogsConfig.properties.connectionLogging.type (Total Keys: 1)

#### networkmanagement:v1beta1

The following keys were added:
- schemas.EffectiveVpcFlowLogsConfig.properties.connectionLogging.type (Total Keys: 1)
- schemas.VpcFlowLogsConfig.properties.connectionLogging.type (Total Keys: 1)
---
 ...izations.locations.vpcFlowLogsConfigs.html |  4 +++
 ...projects.locations.vpcFlowLogsConfigs.html |  6 ++++
 ...izations.locations.vpcFlowLogsConfigs.html |  4 +++
 ...projects.locations.vpcFlowLogsConfigs.html |  6 ++++
 .../documents/networkmanagement.v1.json       | 30 ++++++++++++++++++-
 .../documents/networkmanagement.v1beta1.json  | 30 ++++++++++++++++++-
 6 files changed, 78 insertions(+), 2 deletions(-)

diff --git a/docs/dyn/networkmanagement_v1.organizations.locations.vpcFlowLogsConfigs.html b/docs/dyn/networkmanagement_v1.organizations.locations.vpcFlowLogsConfigs.html
index f81861d302..ec7e25bb07 100644
--- a/docs/dyn/networkmanagement_v1.organizations.locations.vpcFlowLogsConfigs.html
+++ b/docs/dyn/networkmanagement_v1.organizations.locations.vpcFlowLogsConfigs.html
@@ -112,6 +112,7 @@ 
Method Details

 
 { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -215,6 +216,7 @@ 
Method Details

 
     { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -264,6 +266,7 @@ 
Method Details

   "vpcFlowLogsConfigs": [ # List of VPC Flow Log configurations.
     { # A configuration to generate VPC Flow Logs.
       "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+      "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
       "createTime": "A String", # Output only. The time the config was created.
       "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
       "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -314,6 +317,7 @@ 
Method Details

 
 { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
diff --git a/docs/dyn/networkmanagement_v1.projects.locations.vpcFlowLogsConfigs.html b/docs/dyn/networkmanagement_v1.projects.locations.vpcFlowLogsConfigs.html
index 8afdee9084..47e90f926e 100644
--- a/docs/dyn/networkmanagement_v1.projects.locations.vpcFlowLogsConfigs.html
+++ b/docs/dyn/networkmanagement_v1.projects.locations.vpcFlowLogsConfigs.html
@@ -124,6 +124,7 @@ 
Method Details

 
 { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -227,6 +228,7 @@ 
Method Details

 
     { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -276,6 +278,7 @@ 
Method Details

   "vpcFlowLogsConfigs": [ # List of VPC Flow Log configurations.
     { # A configuration to generate VPC Flow Logs.
       "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+      "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
       "createTime": "A String", # Output only. The time the config was created.
       "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
       "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -326,6 +329,7 @@ 
Method Details

 
 { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -403,6 +407,7 @@ 
Method Details

   "vpcFlowLogsConfigs": [ # List of VPC Flow Log configurations.
     { # A configuration to generate VPC Flow Logs.
       "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+      "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
       "createTime": "A String", # Output only. The time the config was created.
       "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
       "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -464,6 +469,7 @@ 
Method Details

   "effectiveFlowLogsConfigs": [ # List of Effective Vpc Flow Logs configurations.
     { # A configuration to generate a response for GetEffectiveVpcFlowLogsConfig request.
       "aggregationInterval": "A String", # The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+      "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
       "crossProjectMetadata": "A String", # Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
       "filterExpr": "A String", # Export filter used to define which VPC Flow Logs should be logged.
       "flowSampling": 3.14, # The value of the field must be in (0, 1]. The sampling rate of VPC Flow Logs where 1.0 means all collected logs are reported. Setting the sampling rate to 0.0 is not allowed. If you want to disable VPC Flow Logs, use the state field instead. Default value is 1.0.
diff --git a/docs/dyn/networkmanagement_v1beta1.organizations.locations.vpcFlowLogsConfigs.html b/docs/dyn/networkmanagement_v1beta1.organizations.locations.vpcFlowLogsConfigs.html
index 7bf2625da6..27e6330b98 100644
--- a/docs/dyn/networkmanagement_v1beta1.organizations.locations.vpcFlowLogsConfigs.html
+++ b/docs/dyn/networkmanagement_v1beta1.organizations.locations.vpcFlowLogsConfigs.html
@@ -112,6 +112,7 @@ 
Method Details

 
 { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -215,6 +216,7 @@ 
Method Details

 
     { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -264,6 +266,7 @@ 
Method Details

   "vpcFlowLogsConfigs": [ # List of VPC Flow Log configurations.
     { # A configuration to generate VPC Flow Logs.
       "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+      "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
       "createTime": "A String", # Output only. The time the config was created.
       "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
       "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -314,6 +317,7 @@ 
Method Details

 
 { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
diff --git a/docs/dyn/networkmanagement_v1beta1.projects.locations.vpcFlowLogsConfigs.html b/docs/dyn/networkmanagement_v1beta1.projects.locations.vpcFlowLogsConfigs.html
index fb9cb7f2ba..89bf452879 100644
--- a/docs/dyn/networkmanagement_v1beta1.projects.locations.vpcFlowLogsConfigs.html
+++ b/docs/dyn/networkmanagement_v1beta1.projects.locations.vpcFlowLogsConfigs.html
@@ -124,6 +124,7 @@ 
Method Details

 
 { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -227,6 +228,7 @@ 
Method Details

 
     { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -276,6 +278,7 @@ 
Method Details

   "vpcFlowLogsConfigs": [ # List of VPC Flow Log configurations.
     { # A configuration to generate VPC Flow Logs.
       "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+      "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
       "createTime": "A String", # Output only. The time the config was created.
       "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
       "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -326,6 +329,7 @@ 
Method Details

 
 { # A configuration to generate VPC Flow Logs.
   "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+  "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
   "createTime": "A String", # Output only. The time the config was created.
   "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
   "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -403,6 +407,7 @@ 
Method Details

   "vpcFlowLogsConfigs": [ # List of VPC Flow Log configurations.
     { # A configuration to generate VPC Flow Logs.
       "aggregationInterval": "A String", # Optional. The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+      "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
       "createTime": "A String", # Output only. The time the config was created.
       "crossProjectMetadata": "A String", # Optional. Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
       "description": "A String", # Optional. The user-supplied description of the VPC Flow Logs configuration. Maximum of 512 characters.
@@ -464,6 +469,7 @@ 
Method Details

   "effectiveFlowLogsConfigs": [ # List of Effective Vpc Flow Logs configurations.
     { # A configuration to generate a response for GetEffectiveVpcFlowLogsConfig request.
       "aggregationInterval": "A String", # The aggregation interval for the logs. Default value is INTERVAL_5_SEC.
+      "connectionLogging": "A String", # Optional. Configures whether connection logging is enabled for VPC Flow Logs.
       "crossProjectMetadata": "A String", # Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.
       "filterExpr": "A String", # Export filter used to define which VPC Flow Logs should be logged.
       "flowSampling": 3.14, # The value of the field must be in (0, 1]. The sampling rate of VPC Flow Logs where 1.0 means all collected logs are reported. Setting the sampling rate to 0.0 is not allowed. If you want to disable VPC Flow Logs, use the state field instead. Default value is 1.0.
diff --git a/googleapiclient/discovery_cache/documents/networkmanagement.v1.json b/googleapiclient/discovery_cache/documents/networkmanagement.v1.json
index d7a9b663f2..78d2bfe991 100644
--- a/googleapiclient/discovery_cache/documents/networkmanagement.v1.json
+++ b/googleapiclient/discovery_cache/documents/networkmanagement.v1.json
@@ -1797,7 +1797,7 @@
 }
 }
 },
-"revision": "20260923",
+"revision": "20260930",
 "rootUrl": "https://networkmanagement.googleapis.com/",
 "schemas": {
 "AbortInfo": {
@@ -2726,6 +2726,20 @@ false
 ],
 "type": "string"
 },
+"connectionLogging": {
+"description": "Optional. Configures whether connection logging is enabled for VPC Flow Logs.",
+"enum": [
+"CONNECTION_LOGGING_UNSPECIFIED",
+"CONNECTION_LOGGING_ENABLED",
+"CONNECTION_LOGGING_DISABLED"
+],
+"enumDescriptions": [
+"If not specified, will default to CONNECTION_LOGGING_DISABLED.",
+"Include connection logs.",
+"Do not include connection logs."
+],
+"type": "string"
+},
 "crossProjectMetadata": {
 "description": "Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.",
 "enum": [
@@ -5839,6 +5853,20 @@ false
 ],
 "type": "string"
 },
+"connectionLogging": {
+"description": "Optional. Configures whether connection logging is enabled for VPC Flow Logs.",
+"enum": [
+"CONNECTION_LOGGING_UNSPECIFIED",
+"CONNECTION_LOGGING_ENABLED",
+"CONNECTION_LOGGING_DISABLED"
+],
+"enumDescriptions": [
+"If not specified, will default to CONNECTION_LOGGING_DISABLED.",
+"Include connection logs.",
+"Do not include connection logs."
+],
+"type": "string"
+},
 "createTime": {
 "description": "Output only. The time the config was created.",
 "format": "google-datetime",
diff --git a/googleapiclient/discovery_cache/documents/networkmanagement.v1beta1.json b/googleapiclient/discovery_cache/documents/networkmanagement.v1beta1.json
index e79f33c548..0de8da38ec 100644
--- a/googleapiclient/discovery_cache/documents/networkmanagement.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/networkmanagement.v1beta1.json
@@ -1237,7 +1237,7 @@
 }
 }
 },
-"revision": "20260923",
+"revision": "20260930",
 "rootUrl": "https://networkmanagement.googleapis.com/",
 "schemas": {
 "AbortInfo": {
@@ -2166,6 +2166,20 @@ false
 ],
 "type": "string"
 },
+"connectionLogging": {
+"description": "Optional. Configures whether connection logging is enabled for VPC Flow Logs.",
+"enum": [
+"CONNECTION_LOGGING_UNSPECIFIED",
+"CONNECTION_LOGGING_ENABLED",
+"CONNECTION_LOGGING_DISABLED"
+],
+"enumDescriptions": [
+"If not specified, will default to CONNECTION_LOGGING_DISABLED.",
+"Include connection logs.",
+"Do not include connection logs."
+],
+"type": "string"
+},
 "crossProjectMetadata": {
 "description": "Determines whether to include cross project annotations in the logs. This field is available only for organization configurations. If not specified in org configs will be set to CROSS_PROJECT_METADATA_ENABLED.",
 "enum": [
@@ -4663,6 +4677,20 @@ false
 ],
 "type": "string"
 },
+"connectionLogging": {
+"description": "Optional. Configures whether connection logging is enabled for VPC Flow Logs.",
+"enum": [
+"CONNECTION_LOGGING_UNSPECIFIED",
+"CONNECTION_LOGGING_ENABLED",
+"CONNECTION_LOGGING_DISABLED"
+],
+"enumDescriptions": [
+"If not specified, will default to CONNECTION_LOGGING_DISABLED.",
+"Include connection logs.",
+"Do not include connection logs."
+],
+"type": "string"
+},
 "createTime": {
 "description": "Output only. The time the config was created.",
 "format": "google-datetime",

From 788c837e741a542cef3f3228ae3b789ad888d965 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 24/32] feat(recaptchaenterprise): update the api

#### recaptchaenterprise:v1

The following keys were added:
- schemas.GoogleCloudRecaptchaenterpriseV1TokenProperties.properties.clientProperties (Total Keys: 2)
- schemas.GoogleCloudRecaptchaenterpriseV1TokenPropertiesClientProperties (Total Keys: 6)
---
 ...chaenterprise_v1.projects.assessments.html | 16 ++++++++---
 .../documents/recaptchaenterprise.v1.json     | 28 +++++++++++++++++--
 2 files changed, 37 insertions(+), 7 deletions(-)

diff --git a/docs/dyn/recaptchaenterprise_v1.projects.assessments.html b/docs/dyn/recaptchaenterprise_v1.projects.assessments.html
index ec35a5c125..c4dd41b561 100644
--- a/docs/dyn/recaptchaenterprise_v1.projects.assessments.html
+++ b/docs/dyn/recaptchaenterprise_v1.projects.assessments.html
@@ -362,14 +362,18 @@ 
Method Details

     "verifiedBots": [ # Output only. Bots with identities that have been verified by reCAPTCHA and detected in the event.
       { # Bot information and metadata.
         "botType": "A String", # Optional. Enumerated field representing the type of bot.
-        "name": "A String", # Optional. Enumerated string value that indicates the identity of the bot, formatted in kebab-case. Current example values include the following: * google-agent - AI_AGENT * browser-base - AI_AGENT * chat-gpt - AI_AGENT * aws-bedrock - AI_AGENT * cybaa-bot - AI_AGENT * cloudflare - AI_AGENT * payhawk - AI_AGENT * duck-duck-go - SEARCH_INDEXER * mediaboard - CONTENT_SCRAPER * marker-io - AI_AGENT * broadcom - AI_AGENT * anchor-browser - AI_AGENT * shopify - AI_AGENT * stackscope - CONTENT_SCRAPER * manus - AI_AGENT * kernel-sh - AI_AGENT * zvelo - SEARCH_INDEXER Ensure that your applications can handle identifier values not explicitly listed here. Deprecated values might take some time to stop showing up in responses. New values can be pushed so this list should be taken as non exhaustive.
+        "name": "A String", # Optional. Enumerated string value that indicates the identity of the bot, formatted in kebab-case. Current example values include the following: * google-agent - AI_AGENT * browser-base - AI_AGENT * chat-gpt - AI_AGENT * aws-bedrock - AI_AGENT * cybaa-bot - AI_AGENT * cloudflare - AI_AGENT * payhawk - AI_AGENT * duck-duck-go - SEARCH_INDEXER * mediaboard - CONTENT_SCRAPER * marker-io - AI_AGENT * anchor-browser - AI_AGENT * shopify - AI_AGENT * stackscope - CONTENT_SCRAPER * manus - AI_AGENT * kernel-sh - AI_AGENT * zvelo - SEARCH_INDEXER Ensure that your applications can handle identifier values not explicitly listed here. Deprecated values might take some time to stop showing up in responses. New values can be pushed so this list should be taken as non exhaustive.
       },
     ],
   },
   "tokenProperties": { # Properties of the provided event token. # Output only. Properties of the provided event token.
     "action": "A String", # Output only. Action name provided at token generation.
     "androidPackageName": "A String", # Output only. The name of the Android package with which the token was generated (Android keys only).
-    "clientSignalsFailed": True or False, # Output only. Indicates a failure collecting reCAPTCHA signals at token generation. This might be a transient condition, or persistent for a user’s environment.
+    "clientProperties": { # Information collected by the reCAPTCHA Enterprise client-side integration when the token is generated. # Output only. Information collected by the reCAPTCHA Enterprise client-side integration when the token is generated.
+      "userAgent": "A String", # Output only. The `User-Agent` header string observed by reCAPTCHA during token generation. This string is truncated to a maximum length of 1000 characters.
+      "userIpAddress": "A String", # Output only. The user's IP address at token generation. This can be either an IPv4 address (e.g., `192.0.2.1`) or an IPv6 address in canonical format per RFC 5952 section 4 (e.g., `2001:db8::1`). IPv4-mapped IPv6 addresses are canonicalized to standard IPv4.
+    },
+    "clientSignalsFailed": True or False, # Output only. Indicates a failure collecting reCAPTCHA signals at token generation. This might be a transient condition, or persistent for a user's environment.
     "createTime": "A String", # Output only. The timestamp corresponding to the generation of the token.
     "hostname": "A String", # Output only. The hostname of the page on which the token was generated (Web keys only).
     "invalidReason": "A String", # Output only. Reason associated with the response when valid = false.
@@ -610,14 +614,18 @@ 
Method Details

     "verifiedBots": [ # Output only. Bots with identities that have been verified by reCAPTCHA and detected in the event.
       { # Bot information and metadata.
         "botType": "A String", # Optional. Enumerated field representing the type of bot.
-        "name": "A String", # Optional. Enumerated string value that indicates the identity of the bot, formatted in kebab-case. Current example values include the following: * google-agent - AI_AGENT * browser-base - AI_AGENT * chat-gpt - AI_AGENT * aws-bedrock - AI_AGENT * cybaa-bot - AI_AGENT * cloudflare - AI_AGENT * payhawk - AI_AGENT * duck-duck-go - SEARCH_INDEXER * mediaboard - CONTENT_SCRAPER * marker-io - AI_AGENT * broadcom - AI_AGENT * anchor-browser - AI_AGENT * shopify - AI_AGENT * stackscope - CONTENT_SCRAPER * manus - AI_AGENT * kernel-sh - AI_AGENT * zvelo - SEARCH_INDEXER Ensure that your applications can handle identifier values not explicitly listed here. Deprecated values might take some time to stop showing up in responses. New values can be pushed so this list should be taken as non exhaustive.
+        "name": "A String", # Optional. Enumerated string value that indicates the identity of the bot, formatted in kebab-case. Current example values include the following: * google-agent - AI_AGENT * browser-base - AI_AGENT * chat-gpt - AI_AGENT * aws-bedrock - AI_AGENT * cybaa-bot - AI_AGENT * cloudflare - AI_AGENT * payhawk - AI_AGENT * duck-duck-go - SEARCH_INDEXER * mediaboard - CONTENT_SCRAPER * marker-io - AI_AGENT * anchor-browser - AI_AGENT * shopify - AI_AGENT * stackscope - CONTENT_SCRAPER * manus - AI_AGENT * kernel-sh - AI_AGENT * zvelo - SEARCH_INDEXER Ensure that your applications can handle identifier values not explicitly listed here. Deprecated values might take some time to stop showing up in responses. New values can be pushed so this list should be taken as non exhaustive.
       },
     ],
   },
   "tokenProperties": { # Properties of the provided event token. # Output only. Properties of the provided event token.
     "action": "A String", # Output only. Action name provided at token generation.
     "androidPackageName": "A String", # Output only. The name of the Android package with which the token was generated (Android keys only).
-    "clientSignalsFailed": True or False, # Output only. Indicates a failure collecting reCAPTCHA signals at token generation. This might be a transient condition, or persistent for a user’s environment.
+    "clientProperties": { # Information collected by the reCAPTCHA Enterprise client-side integration when the token is generated. # Output only. Information collected by the reCAPTCHA Enterprise client-side integration when the token is generated.
+      "userAgent": "A String", # Output only. The `User-Agent` header string observed by reCAPTCHA during token generation. This string is truncated to a maximum length of 1000 characters.
+      "userIpAddress": "A String", # Output only. The user's IP address at token generation. This can be either an IPv4 address (e.g., `192.0.2.1`) or an IPv6 address in canonical format per RFC 5952 section 4 (e.g., `2001:db8::1`). IPv4-mapped IPv6 addresses are canonicalized to standard IPv4.
+    },
+    "clientSignalsFailed": True or False, # Output only. Indicates a failure collecting reCAPTCHA signals at token generation. This might be a transient condition, or persistent for a user's environment.
     "createTime": "A String", # Output only. The timestamp corresponding to the generation of the token.
     "hostname": "A String", # Output only. The hostname of the page on which the token was generated (Web keys only).
     "invalidReason": "A String", # Output only. Reason associated with the response when valid = false.
diff --git a/googleapiclient/discovery_cache/documents/recaptchaenterprise.v1.json b/googleapiclient/discovery_cache/documents/recaptchaenterprise.v1.json
index 5e5eb12c19..98e0e5e777 100644
--- a/googleapiclient/discovery_cache/documents/recaptchaenterprise.v1.json
+++ b/googleapiclient/discovery_cache/documents/recaptchaenterprise.v1.json
@@ -845,7 +845,7 @@
 }
 }
 },
-"revision": "20260825",
+"revision": "20261003",
 "rootUrl": "https://recaptchaenterprise.googleapis.com/",
 "schemas": {
 "GoogleCloudRecaptchaenterpriseV1AccountDefenderAssessment": {
@@ -1273,7 +1273,7 @@ true
 "type": "string"
 },
 "name": {
-"description": "Optional. Enumerated string value that indicates the identity of the bot, formatted in kebab-case. Current example values include the following: * google-agent - AI_AGENT * browser-base - AI_AGENT * chat-gpt - AI_AGENT * aws-bedrock - AI_AGENT * cybaa-bot - AI_AGENT * cloudflare - AI_AGENT * payhawk - AI_AGENT * duck-duck-go - SEARCH_INDEXER * mediaboard - CONTENT_SCRAPER * marker-io - AI_AGENT * broadcom - AI_AGENT * anchor-browser - AI_AGENT * shopify - AI_AGENT * stackscope - CONTENT_SCRAPER * manus - AI_AGENT * kernel-sh - AI_AGENT * zvelo - SEARCH_INDEXER Ensure that your applications can handle identifier values not explicitly listed here. Deprecated values might take some time to stop showing up in responses. New values can be pushed so this list should be taken as non exhaustive.",
+"description": "Optional. Enumerated string value that indicates the identity of the bot, formatted in kebab-case. Current example values include the following: * google-agent - AI_AGENT * browser-base - AI_AGENT * chat-gpt - AI_AGENT * aws-bedrock - AI_AGENT * cybaa-bot - AI_AGENT * cloudflare - AI_AGENT * payhawk - AI_AGENT * duck-duck-go - SEARCH_INDEXER * mediaboard - CONTENT_SCRAPER * marker-io - AI_AGENT * anchor-browser - AI_AGENT * shopify - AI_AGENT * stackscope - CONTENT_SCRAPER * manus - AI_AGENT * kernel-sh - AI_AGENT * zvelo - SEARCH_INDEXER Ensure that your applications can handle identifier values not explicitly listed here. Deprecated values might take some time to stop showing up in responses. New values can be pushed so this list should be taken as non exhaustive.",
 "type": "string"
 }
 },
@@ -2496,8 +2496,13 @@ true
 "readOnly": true,
 "type": "string"
 },
+"clientProperties": {
+"$ref": "GoogleCloudRecaptchaenterpriseV1TokenPropertiesClientProperties",
+"description": "Output only. Information collected by the reCAPTCHA Enterprise client-side integration when the token is generated.",
+"readOnly": true
+},
 "clientSignalsFailed": {
-"description": "Output only. Indicates a failure collecting reCAPTCHA signals at token generation. This might be a transient condition, or persistent for a user\u2019s environment.",
+"description": "Output only. Indicates a failure collecting reCAPTCHA signals at token generation. This might be a transient condition, or persistent for a user's environment.",
 "readOnly": true,
 "type": "boolean"
 },
@@ -2554,6 +2559,23 @@ true
 },
 "type": "object"
 },
+"GoogleCloudRecaptchaenterpriseV1TokenPropertiesClientProperties": {
+"description": "Information collected by the reCAPTCHA Enterprise client-side integration when the token is generated.",
+"id": "GoogleCloudRecaptchaenterpriseV1TokenPropertiesClientProperties",
+"properties": {
+"userAgent": {
+"description": "Output only. The `User-Agent` header string observed by reCAPTCHA during token generation. This string is truncated to a maximum length of 1000 characters.",
+"readOnly": true,
+"type": "string"
+},
+"userIpAddress": {
+"description": "Output only. The user's IP address at token generation. This can be either an IPv4 address (e.g., `192.0.2.1`) or an IPv6 address in canonical format per RFC 5952 section 4 (e.g., `2001:db8::1`). IPv4-mapped IPv6 addresses are canonicalized to standard IPv4.",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleCloudRecaptchaenterpriseV1TransactionData": {
 "description": "Transaction data associated with a payment protected by reCAPTCHA Enterprise.",
 "id": "GoogleCloudRecaptchaenterpriseV1TransactionData",

From 06a9f23e7f7d9f8e05e7c860b37175133be311bb Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 25/32] feat(run): update the api

#### run:v1

The following keys were added:
- schemas.GoogleDevtoolsCloudbuildV1BuildResourceUsage (Total Keys: 17)
- schemas.GoogleDevtoolsCloudbuildV1Results.properties.resourceUsage (Total Keys: 2)

#### run:v2

The following keys were added:
- schemas.GoogleDevtoolsCloudbuildV1BuildResourceUsage (Total Keys: 17)
- schemas.GoogleDevtoolsCloudbuildV1Results.properties.resourceUsage (Total Keys: 2)
---
 .../discovery_cache/documents/run.v1.json     | 52 +++++++++++++++++--
 .../discovery_cache/documents/run.v2.json     | 52 +++++++++++++++++--
 2 files changed, 96 insertions(+), 8 deletions(-)

diff --git a/googleapiclient/discovery_cache/documents/run.v1.json b/googleapiclient/discovery_cache/documents/run.v1.json
index 04bcdb80a5..5ab0afa7b4 100644
--- a/googleapiclient/discovery_cache/documents/run.v1.json
+++ b/googleapiclient/discovery_cache/documents/run.v1.json
@@ -3652,7 +3652,7 @@
 }
 }
 },
-"revision": "20260925",
+"revision": "20261002",
 "rootUrl": "https://run.googleapis.com/",
 "schemas": {
 "Addressable": {
@@ -4990,11 +4990,13 @@ false
 "description": "Requested verifiability options.",
 "enum": [
 "NOT_VERIFIED",
-"VERIFIED"
+"VERIFIED",
+"BEST_EFFORT"
 ],
 "enumDescriptions": [
 "Not a verifiable build (the default).",
-"Build must be verified."
+"Build must be verified.",
+"Build verification is best effort. If provenance generation fails, the build will still succeed."
 ],
 "type": "string"
 },
@@ -5064,6 +5066,43 @@ false
 },
 "type": "object"
 },
+"GoogleDevtoolsCloudbuildV1BuildResourceUsage": {
+"description": "Aggregated/summary metrics over the entire build lifecycle.",
+"id": "GoogleDevtoolsCloudbuildV1BuildResourceUsage",
+"properties": {
+"averageCpuUtilization": {
+"description": "Output only. The average CPU utilization ratio across all vCPUs over the duration of the build, expressed as a fraction in the range [0.0, 1.0].",
+"format": "float",
+"readOnly": true,
+"type": "number"
+},
+"averageMemoryUtilization": {
+"description": "Output only. The average memory utilization ratio over the duration of the build, expressed as a fraction in the range [0.0, 1.0].",
+"format": "float",
+"readOnly": true,
+"type": "number"
+},
+"peakCpuUtilization": {
+"description": "Output only. The highest CPU utilization ratio across all vCPUs observed over the duration of the build, expressed as a fraction in the range [0.0, 1.0].",
+"format": "float",
+"readOnly": true,
+"type": "number"
+},
+"peakMemoryUtilization": {
+"description": "Output only. The highest memory utilization ratio observed over the duration of the build, expressed as a fraction in the range [0.0, 1.0].",
+"format": "float",
+"readOnly": true,
+"type": "number"
+},
+"totalCpuDuration": {
+"description": "Output only. Total CPU execution time consumed across all cores during build execution.",
+"format": "google-duration",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleDevtoolsCloudbuildV1BuildStep": {
 "description": "A step in the build pipeline.",
 "id": "GoogleDevtoolsCloudbuildV1BuildStep",
@@ -5377,7 +5416,7 @@ false
 "id": "GoogleDevtoolsCloudbuildV1GenericArtifactDependency",
 "properties": {
 "destPath": {
-"description": "Required. Where the artifact files should be placed on the worker.",
+"description": "Optional. Where the artifact files should be placed on the worker. Required when specified in `Build.dependencies`.",
 "type": "string"
 },
 "resource": {
@@ -5787,6 +5826,11 @@ false
 "$ref": "GoogleDevtoolsCloudbuildV1UploadedPythonPackage"
 },
 "type": "array"
+},
+"resourceUsage": {
+"$ref": "GoogleDevtoolsCloudbuildV1BuildResourceUsage",
+"description": "Output only. Aggregated metrics for the build.",
+"readOnly": true
 }
 },
 "type": "object"
diff --git a/googleapiclient/discovery_cache/documents/run.v2.json b/googleapiclient/discovery_cache/documents/run.v2.json
index 5097db410d..1100715dab 100644
--- a/googleapiclient/discovery_cache/documents/run.v2.json
+++ b/googleapiclient/discovery_cache/documents/run.v2.json
@@ -2669,7 +2669,7 @@
 }
 }
 },
-"revision": "20260917",
+"revision": "20261002",
 "rootUrl": "https://run.googleapis.com/",
 "schemas": {
 "GoogleCloudRunV2BinaryAuthorization": {
@@ -6784,11 +6784,13 @@ false
 "description": "Requested verifiability options.",
 "enum": [
 "NOT_VERIFIED",
-"VERIFIED"
+"VERIFIED",
+"BEST_EFFORT"
 ],
 "enumDescriptions": [
 "Not a verifiable build (the default).",
-"Build must be verified."
+"Build must be verified.",
+"Build verification is best effort. If provenance generation fails, the build will still succeed."
 ],
 "type": "string"
 },
@@ -6858,6 +6860,43 @@ false
 },
 "type": "object"
 },
+"GoogleDevtoolsCloudbuildV1BuildResourceUsage": {
+"description": "Aggregated/summary metrics over the entire build lifecycle.",
+"id": "GoogleDevtoolsCloudbuildV1BuildResourceUsage",
+"properties": {
+"averageCpuUtilization": {
+"description": "Output only. The average CPU utilization ratio across all vCPUs over the duration of the build, expressed as a fraction in the range [0.0, 1.0].",
+"format": "float",
+"readOnly": true,
+"type": "number"
+},
+"averageMemoryUtilization": {
+"description": "Output only. The average memory utilization ratio over the duration of the build, expressed as a fraction in the range [0.0, 1.0].",
+"format": "float",
+"readOnly": true,
+"type": "number"
+},
+"peakCpuUtilization": {
+"description": "Output only. The highest CPU utilization ratio across all vCPUs observed over the duration of the build, expressed as a fraction in the range [0.0, 1.0].",
+"format": "float",
+"readOnly": true,
+"type": "number"
+},
+"peakMemoryUtilization": {
+"description": "Output only. The highest memory utilization ratio observed over the duration of the build, expressed as a fraction in the range [0.0, 1.0].",
+"format": "float",
+"readOnly": true,
+"type": "number"
+},
+"totalCpuDuration": {
+"description": "Output only. Total CPU execution time consumed across all cores during build execution.",
+"format": "google-duration",
+"readOnly": true,
+"type": "string"
+}
+},
+"type": "object"
+},
 "GoogleDevtoolsCloudbuildV1BuildStep": {
 "description": "A step in the build pipeline.",
 "id": "GoogleDevtoolsCloudbuildV1BuildStep",
@@ -7171,7 +7210,7 @@ false
 "id": "GoogleDevtoolsCloudbuildV1GenericArtifactDependency",
 "properties": {
 "destPath": {
-"description": "Required. Where the artifact files should be placed on the worker.",
+"description": "Optional. Where the artifact files should be placed on the worker. Required when specified in `Build.dependencies`.",
 "type": "string"
 },
 "resource": {
@@ -7581,6 +7620,11 @@ false
 "$ref": "GoogleDevtoolsCloudbuildV1UploadedPythonPackage"
 },
 "type": "array"
+},
+"resourceUsage": {
+"$ref": "GoogleDevtoolsCloudbuildV1BuildResourceUsage",
+"description": "Output only. Aggregated metrics for the build.",
+"readOnly": true
 }
 },
 "type": "object"

From 313733d09edf47c4b61291d93581730c0e5b2e7f Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:45 +0000
Subject: [PATCH 26/32] feat(saasservicemgmt): update the api

#### saasservicemgmt:v1

The following keys were added:
- schemas.UnitKind.properties.deleteTime (Total Keys: 3)

#### saasservicemgmt:v1beta1

The following keys were added:
- schemas.UnitKind.properties.deleteTime (Total Keys: 3)
---
 ...cemgmt_v1.projects.locations.releases.html | 36 +++++++++----------
 ...mt_v1.projects.locations.rolloutKinds.html | 12 +++----
 ...emgmt_v1.projects.locations.unitKinds.html |  6 ++++
 ...rvicemgmt_v1.projects.locations.units.html | 24 ++++++-------
 ...t_v1beta1.projects.locations.releases.html | 36 +++++++++----------
 ...beta1.projects.locations.rolloutKinds.html | 12 +++----
 ..._v1beta1.projects.locations.unitKinds.html |  6 ++++
 ...mgmt_v1beta1.projects.locations.units.html | 24 ++++++-------
 .../documents/saasservicemgmt.v1.json         | 20 +++++++----
 .../documents/saasservicemgmt.v1beta1.json    | 26 +++++++++-----
 10 files changed, 114 insertions(+), 88 deletions(-)

diff --git a/docs/dyn/saasservicemgmt_v1.projects.locations.releases.html b/docs/dyn/saasservicemgmt_v1.projects.locations.releases.html
index 0621909f20..d8dbf781e0 100644
--- a/docs/dyn/saasservicemgmt_v1.projects.locations.releases.html
+++ b/docs/dyn/saasservicemgmt_v1.projects.locations.releases.html
@@ -110,12 +110,12 @@ 
Method Details

   body: object, The request body.
     The object takes the form of:
 
-{ # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+{ # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
@@ -167,12 +167,12 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
@@ -249,12 +249,12 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
@@ -317,12 +317,12 @@ 
Method Details

     { # The response structure for the ListReleases method.
   "nextPageToken": "A String", # If present, the next page token can be provided to a subsequent ListReleases call to list the next page. If empty, there are no more pages.
   "releases": [ # The resulting releases.
-    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
       "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
         "a_key": "A String",
       },
-      "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-        "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+      "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+        "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
         "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
         "version": "A String", # Output only. Version metadata if present on the blueprint.
       },
@@ -392,12 +392,12 @@ 
Method Details

   body: object, The request body.
     The object takes the form of:
 
-{ # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+{ # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
@@ -449,12 +449,12 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
diff --git a/docs/dyn/saasservicemgmt_v1.projects.locations.rolloutKinds.html b/docs/dyn/saasservicemgmt_v1.projects.locations.rolloutKinds.html
index b788af60eb..4e6e952844 100644
--- a/docs/dyn/saasservicemgmt_v1.projects.locations.rolloutKinds.html
+++ b/docs/dyn/saasservicemgmt_v1.projects.locations.rolloutKinds.html
@@ -126,7 +126,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -165,7 +165,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -229,7 +229,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -279,7 +279,7 @@ 
Method Details

       "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
       "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
       "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-      "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+      "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
       "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
       "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
         "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -336,7 +336,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -375,7 +375,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
diff --git a/docs/dyn/saasservicemgmt_v1.projects.locations.unitKinds.html b/docs/dyn/saasservicemgmt_v1.projects.locations.unitKinds.html
index dcec582e04..292b8d56ef 100644
--- a/docs/dyn/saasservicemgmt_v1.projects.locations.unitKinds.html
+++ b/docs/dyn/saasservicemgmt_v1.projects.locations.unitKinds.html
@@ -120,6 +120,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -185,6 +186,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -275,6 +277,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -351,6 +354,7 @@ 
Method Details

         "A String",
       ],
       "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+      "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
       "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
         { # Dependency represent a single dependency with another unit kind by alias.
           "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -434,6 +438,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -499,6 +504,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
diff --git a/docs/dyn/saasservicemgmt_v1.projects.locations.units.html b/docs/dyn/saasservicemgmt_v1.projects.locations.units.html
index d3ae2f44a1..f4e1a5acca 100644
--- a/docs/dyn/saasservicemgmt_v1.projects.locations.units.html
+++ b/docs/dyn/saasservicemgmt_v1.projects.locations.units.html
@@ -110,7 +110,7 @@ 
Method Details

   body: object, The request body.
     The object takes the form of:
 
-{ # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+{ # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -158,7 +158,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
@@ -194,7 +194,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -242,7 +242,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
@@ -303,7 +303,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -351,7 +351,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
@@ -398,7 +398,7 @@ 
Method Details

     { # The response structure for the ListUnits method.
   "nextPageToken": "A String", # If present, the next page token can be provided to a subsequent ListUnits call to list the next page. If empty, there are no more pages.
   "units": [ # The resulting units.
-    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
       "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
         "a_key": "A String",
       },
@@ -446,7 +446,7 @@ 
Method Details

       "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
         "A String",
       ],
-      "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+      "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
         { # UnitVariable describes a parameter for a Unit.
           "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
           "value": "A String", # Optional. String encoded value for the variable.
@@ -500,7 +500,7 @@ 
Method Details

   body: object, The request body.
     The object takes the form of:
 
-{ # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+{ # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -548,7 +548,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
@@ -584,7 +584,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -632,7 +632,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
diff --git a/docs/dyn/saasservicemgmt_v1beta1.projects.locations.releases.html b/docs/dyn/saasservicemgmt_v1beta1.projects.locations.releases.html
index 63aa446e2c..17bd0fc0ef 100644
--- a/docs/dyn/saasservicemgmt_v1beta1.projects.locations.releases.html
+++ b/docs/dyn/saasservicemgmt_v1beta1.projects.locations.releases.html
@@ -110,7 +110,7 @@ 
Method Details

   body: object, The request body.
     The object takes the form of:
 
-{ # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+{ # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -123,8 +123,8 @@ 
Method Details

     },
     "revision": "A String", # Optional. Revision of the component. If the component does not have a revision, this field will be explicitly set to the revision of the composite ApplicationTemplate.
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
@@ -176,7 +176,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -189,8 +189,8 @@ 
Method Details

     },
     "revision": "A String", # Optional. Revision of the component. If the component does not have a revision, this field will be explicitly set to the revision of the composite ApplicationTemplate.
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
@@ -267,7 +267,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -280,8 +280,8 @@ 
Method Details

     },
     "revision": "A String", # Optional. Revision of the component. If the component does not have a revision, this field will be explicitly set to the revision of the composite ApplicationTemplate.
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
@@ -344,7 +344,7 @@ 
Method Details

     { # The response structure for the ListReleases method.
   "nextPageToken": "A String", # If present, the next page token can be provided to a subsequent ListReleases call to list the next page. If empty, there are no more pages.
   "releases": [ # The resulting releases.
-    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
       "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
         "a_key": "A String",
       },
@@ -357,8 +357,8 @@ 
Method Details

         },
         "revision": "A String", # Optional. Revision of the component. If the component does not have a revision, this field will be explicitly set to the revision of the composite ApplicationTemplate.
       },
-      "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-        "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+      "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+        "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
         "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
         "version": "A String", # Output only. Version metadata if present on the blueprint.
       },
@@ -428,7 +428,7 @@ 
Method Details

   body: object, The request body.
     The object takes the form of:
 
-{ # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+{ # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -441,8 +441,8 @@ 
Method Details

     },
     "revision": "A String", # Optional. Revision of the component. If the component does not have a revision, this field will be explicitly set to the revision of the composite ApplicationTemplate.
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
@@ -494,7 +494,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.
+    { # A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -507,8 +507,8 @@ 
Method Details

     },
     "revision": "A String", # Optional. Revision of the component. If the component does not have a revision, this field will be explicitly set to the revision of the composite ApplicationTemplate.
   },
-  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
-    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.
+  "blueprint": { # Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev). # Optional. Blueprints are OCI Images that contain all of the artifacts needed to provision a unit.
+    "engine": "A String", # Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)
     "package": "A String", # Optional. Immutable. URI to a blueprint used by the Unit (required unless unitKind or release is set).
     "version": "A String", # Output only. Version metadata if present on the blueprint.
   },
diff --git a/docs/dyn/saasservicemgmt_v1beta1.projects.locations.rolloutKinds.html b/docs/dyn/saasservicemgmt_v1beta1.projects.locations.rolloutKinds.html
index 4faa609038..8b4ecc9ff0 100644
--- a/docs/dyn/saasservicemgmt_v1beta1.projects.locations.rolloutKinds.html
+++ b/docs/dyn/saasservicemgmt_v1beta1.projects.locations.rolloutKinds.html
@@ -126,7 +126,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -165,7 +165,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -229,7 +229,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -279,7 +279,7 @@ 
Method Details

       "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
       "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
       "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-      "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+      "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
       "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
       "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
         "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -336,7 +336,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
@@ -375,7 +375,7 @@ 
Method Details

   "name": "A String", # Identifier. The resource name (full URI of the resource) following the standard naming scheme: "projects/{project}/locations/{location}/rolloutKinds/{rollout_kind_id}"
   "rolloutOrchestrationStrategy": "A String", # Optional. The strategy used for executing a Rollout. This is a required field. There are two supported values strategies which are used to control - "Google.Cloud.Simple.AllAtOnce" - "Google.Cloud.Simple.OneLocationAtATime" A rollout with one of these simple strategies will rollout across all locations defined in the associated UnitKind's Saas Locations.
   "uid": "A String", # Output only. The unique identifier of the resource. UID is unique in the time and space for this resource within the scope of the service. It is typically generated by the server on successful creation of a resource and must not be changed. UID is used to uniquely identify resources with resource name reuses. This should be a UUID4.
-  "unitFilter": "A String", # Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
+  "unitFilter": "A String", # Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.
   "unitKind": "A String", # Optional. Immutable. UnitKind that this rollout kind corresponds to. Rollouts stemming from this rollout kind will target the units of this unit kind. In other words, this defines the population of target units to be upgraded by rollouts.
   "unitUpdatePacing": { # UnitUpdatePacing defines the policy for the maximum number of unit operations that can run for a rollout in parallel in a single region. # Optional. Settings for controlling the pacing of rollouts i.e. the number of units to be rolled out in parallel in a region.
     "maxConcurrentOperationsCount": 42, # Optional. An absolute cap on concurrent units operations. If both percent and count are provided, the system uses the MINIMUM (most restrictive).
diff --git a/docs/dyn/saasservicemgmt_v1beta1.projects.locations.unitKinds.html b/docs/dyn/saasservicemgmt_v1beta1.projects.locations.unitKinds.html
index a0e038af20..24b8e35a70 100644
--- a/docs/dyn/saasservicemgmt_v1beta1.projects.locations.unitKinds.html
+++ b/docs/dyn/saasservicemgmt_v1beta1.projects.locations.unitKinds.html
@@ -135,6 +135,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -215,6 +216,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -320,6 +322,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -411,6 +414,7 @@ 
Method Details

         "A String",
       ],
       "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+      "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
       "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
         { # Dependency represent a single dependency with another unit kind by alias.
           "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -509,6 +513,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
@@ -589,6 +594,7 @@ 
Method Details

     "A String",
   ],
   "defaultRelease": "A String", # Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.
+  "deleteTime": "A String", # Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).
   "dependencies": [ # Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.
     { # Dependency represent a single dependency with another unit kind by alias.
       "alias": "A String", # Required. An alias for the dependency. Used for input variable mapping.
diff --git a/docs/dyn/saasservicemgmt_v1beta1.projects.locations.units.html b/docs/dyn/saasservicemgmt_v1beta1.projects.locations.units.html
index a1b1483131..66af97c291 100644
--- a/docs/dyn/saasservicemgmt_v1beta1.projects.locations.units.html
+++ b/docs/dyn/saasservicemgmt_v1beta1.projects.locations.units.html
@@ -110,7 +110,7 @@ 
Method Details

   body: object, The request body.
     The object takes the form of:
 
-{ # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+{ # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -160,7 +160,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
@@ -197,7 +197,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -247,7 +247,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
@@ -309,7 +309,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -359,7 +359,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
@@ -407,7 +407,7 @@ 
Method Details

     { # The response structure for the ListUnits method.
   "nextPageToken": "A String", # If present, the next page token can be provided to a subsequent ListUnits call to list the next page. If empty, there are no more pages.
   "units": [ # The resulting units.
-    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
       "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
         "a_key": "A String",
       },
@@ -457,7 +457,7 @@ 
Method Details

       "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
         "A String",
       ],
-      "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+      "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
         { # UnitVariable describes a parameter for a Unit.
           "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
           "value": "A String", # Optional. String encoded value for the variable.
@@ -512,7 +512,7 @@ 
Method Details

   body: object, The request body.
     The object takes the form of:
 
-{ # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+{ # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -562,7 +562,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
@@ -599,7 +599,7 @@ 
Method Details

 Returns:
   An object of the form:
 
-    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
+    { # A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.
   "annotations": { # Optional. Annotations is an unstructured key-value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: https://kubernetes.io/docs/user-guide/annotations
     "a_key": "A String",
   },
@@ -649,7 +649,7 @@ 
Method Details

   "ongoingOperations": [ # Optional. Output only. List of concurrent UnitOperations that are operating on this Unit.
     "A String",
   ],
-  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.
+  "outputVariables": [ # Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.
     { # UnitVariable describes a parameter for a Unit.
       "type": "A String", # Optional. Immutable. Name of a supported variable type. Supported types are string, int, bool.
       "value": "A String", # Optional. String encoded value for the variable.
diff --git a/googleapiclient/discovery_cache/documents/saasservicemgmt.v1.json b/googleapiclient/discovery_cache/documents/saasservicemgmt.v1.json
index f212cd9a89..e703d8ab7c 100644
--- a/googleapiclient/discovery_cache/documents/saasservicemgmt.v1.json
+++ b/googleapiclient/discovery_cache/documents/saasservicemgmt.v1.json
@@ -1866,7 +1866,7 @@
 }
 }
 },
-"revision": "20260914",
+"revision": "20260928",
 "rootUrl": "https://saasservicemgmt.googleapis.com/",
 "schemas": {
 "Aggregate": {
@@ -1886,11 +1886,11 @@
 "type": "object"
 },
 "Blueprint": {
-"description": "Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev).",
+"description": "Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev).",
 "id": "Blueprint",
 "properties": {
 "engine": {
-"description": "Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.",
+"description": "Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)",
 "readOnly": true,
 "type": "string"
 },
@@ -2281,7 +2281,7 @@
 "type": "object"
 },
 "Release": {
-"description": "A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.",
+"description": "A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.",
 "id": "Release",
 "properties": {
 "annotations": {
@@ -2599,7 +2599,7 @@
 "type": "string"
 },
 "unitFilter": {
-"description": "Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.",
+"description": "Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.",
 "type": "string"
 },
 "unitKind": {
@@ -2922,7 +2922,7 @@ false
 "type": "object"
 },
 "Unit": {
-"description": "A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.",
+"description": "A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.",
 "id": "Unit",
 "properties": {
 "annotations": {
@@ -3021,7 +3021,7 @@ false
 "type": "array"
 },
 "outputVariables": {
-"description": "Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.",
+"description": "Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.",
 "items": {
 "$ref": "UnitVariable"
 },
@@ -3247,6 +3247,12 @@ false
 "description": "Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.",
 "type": "string"
 },
+"deleteTime": {
+"description": "Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
 "dependencies": {
 "description": "Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.",
 "items": {
diff --git a/googleapiclient/discovery_cache/documents/saasservicemgmt.v1beta1.json b/googleapiclient/discovery_cache/documents/saasservicemgmt.v1beta1.json
index 15cab3a2b1..e5b7335a30 100644
--- a/googleapiclient/discovery_cache/documents/saasservicemgmt.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/saasservicemgmt.v1beta1.json
@@ -3323,7 +3323,7 @@
 }
 }
 },
-"revision": "20260914",
+"revision": "20260928",
 "rootUrl": "https://saasservicemgmt.googleapis.com/",
 "schemas": {
 "Aggregate": {
@@ -3400,11 +3400,11 @@
 "type": "object"
 },
 "Blueprint": {
-"description": "Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (e.g. terraform, helm etc) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev).",
+"description": "Blueprints are OCI Images that contain all of the artifacts needed to provision a unit. Metadata such as, type of the engine used to actuate the blueprint (Terraform, for example) and version will come from the image manifest. If the hostname is omitted, it will be assumed to be the regional path to Artifact Registry (eg. us-east1-docker.pkg.dev).",
 "id": "Blueprint",
 "properties": {
 "engine": {
-"description": "Output only. Type of the engine used to actuate the blueprint. e.g. terraform, helm etc.",
+"description": "Output only. Type of the engine used to actuate the blueprint. (Terraform, for example)",
 "readOnly": true,
 "type": "string"
 },
@@ -4540,7 +4540,7 @@
 "type": "object"
 },
 "Release": {
-"description": "A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation (e.g Helm or Terraform configuration packages) via artifact registry.",
+"description": "A new version to be propagated and deployed to units. This includes pointers to packaged blueprints for actuation via Artifact Registry.",
 "id": "Release",
 "properties": {
 "annotations": {
@@ -4738,7 +4738,8 @@
 "ROLLOUT_STATE_WAITING",
 "ROLLOUT_STATE_CANCELLING",
 "ROLLOUT_STATE_RESUMING",
-"ROLLOUT_STATE_PAUSING"
+"ROLLOUT_STATE_PAUSING",
+"ROLLOUT_STATE_AWAITING_APPROVAL"
 ],
 "enumDescriptions": [
 "Unspecified state.",
@@ -4750,7 +4751,8 @@
 "Rollout is waiting for some condition to be met before starting.",
 "Rollout is being canceled.",
 "Rollout is being resumed.",
-"Rollout is being paused."
+"Rollout is being paused.",
+"Rollout is awaiting manual approval."
 ],
 "readOnly": true,
 "type": "string"
@@ -4863,7 +4865,7 @@
 "type": "string"
 },
 "unitFilter": {
-"description": "Optional. CEL(https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.",
+"description": "Optional. [CEL](https://github.com/google/cel-spec) formatted filter string against Unit. The filter will be applied to determine the eligible unit population. This filter can only reduce, but not expand the scope of the rollout.",
 "type": "string"
 },
 "unitKind": {
@@ -5263,7 +5265,7 @@ false
 "type": "object"
 },
 "Unit": {
-"description": "A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, Helm or a custom implementation provided by a service producer). A building block of a SaaS Tenant.",
+"description": "A unit of deployment that has its lifecycle via a CRUD API using an actuation engine under the hood (e.g. based on Terraform, or a custom implementation provided by a service producer). A building block of a SaaS Tenant.",
 "id": "Unit",
 "properties": {
 "annotations": {
@@ -5371,7 +5373,7 @@ false
 "type": "array"
 },
 "outputVariables": {
-"description": "Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (e.g in helm chart or terraform) and the values are fetched and returned by the actuation engine upon completion of execution.",
+"description": "Optional. Output only. Set of key/value pairs corresponding to output variables from execution of actuation templates. The variables are declared in actuation configs (in Terraform for example) and the values are fetched and returned by the actuation engine upon completion of execution.",
 "items": {
 "$ref": "UnitVariable"
 },
@@ -5710,6 +5712,12 @@ false
 "description": "Optional. A reference to the Release object to use as default for creating new units of this UnitKind (optional). If not specified, a new unit must explicitly reference which release to use for its creation.",
 "type": "string"
 },
+"deleteTime": {
+"description": "Output only. The timestamp when the resource was marked for deletion (deletion is an asynchronous operation).",
+"format": "google-datetime",
+"readOnly": true,
+"type": "string"
+},
 "dependencies": {
 "description": "Optional. Immutable. List of other unit kinds that this release will depend on. Dependencies will be automatically provisioned if not found. Maximum 10.",
 "items": {

From 020b542faf65b088f56fd2343b7db515432d21ac Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:46 +0000
Subject: [PATCH 27/32] feat(securitycenter): update the api

#### securitycenter:v1

The following keys were added:
- schemas.GoogleCloudSecuritycenterV1BigQueryExport.properties.deletionNotificationsEnabled.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV1NotificationMessage.properties.deletedFinding.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV2BigQueryExport.properties.deletionNotificationsEnabled.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV2NotificationMessage.properties.deletedFinding.type (Total Keys: 1)
- schemas.NotificationConfig.properties.deletionNotificationsEnabled.type (Total Keys: 1)

#### securitycenter:v1beta1

The following keys were added:
- schemas.GoogleCloudSecuritycenterV1BigQueryExport.properties.deletionNotificationsEnabled.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV1NotificationMessage.properties.deletedFinding.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV2BigQueryExport.properties.deletionNotificationsEnabled.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV2NotificationMessage.properties.deletedFinding.type (Total Keys: 1)

#### securitycenter:v1beta2

The following keys were added:
- schemas.GoogleCloudSecuritycenterV1BigQueryExport.properties.deletionNotificationsEnabled.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV1NotificationMessage.properties.deletedFinding.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV2BigQueryExport.properties.deletionNotificationsEnabled.type (Total Keys: 1)
- schemas.GoogleCloudSecuritycenterV2NotificationMessage.properties.deletedFinding.type (Total Keys: 1)
---
 ...curitycenter_v1.folders.bigQueryExports.html |  6 ++++++
 ...tycenter_v1.folders.notificationConfigs.html |  6 ++++++
 ...center_v1.organizations.bigQueryExports.html |  6 ++++++
 ...er_v1.organizations.notificationConfigs.html |  6 ++++++
 ...uritycenter_v1.projects.bigQueryExports.html |  6 ++++++
 ...ycenter_v1.projects.notificationConfigs.html |  6 ++++++
 .../documents/securitycenter.v1.json            | 17 ++++++++++++++++-
 .../documents/securitycenter.v1beta1.json       | 14 +++++++++++++-
 .../documents/securitycenter.v1beta2.json       | 14 +++++++++++++-
 9 files changed, 78 insertions(+), 3 deletions(-)

diff --git a/docs/dyn/securitycenter_v1.folders.bigQueryExports.html b/docs/dyn/securitycenter_v1.folders.bigQueryExports.html
index d90d528382..844436cd08 100644
--- a/docs/dyn/securitycenter_v1.folders.bigQueryExports.html
+++ b/docs/dyn/securitycenter_v1.folders.bigQueryExports.html
@@ -113,6 +113,7 @@ 
Method Details

 {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -133,6 +134,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -177,6 +179,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -207,6 +210,7 @@ 
Method Details

     {
       "createTime": "A String",
       "dataset": "A String",
+      "deletionNotificationsEnabled": True or False,
       "description": "A String",
       "filter": "A String",
       "mostRecentEditor": "A String",
@@ -245,6 +249,7 @@ 
Method Details

 {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -265,6 +270,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
diff --git a/docs/dyn/securitycenter_v1.folders.notificationConfigs.html b/docs/dyn/securitycenter_v1.folders.notificationConfigs.html
index 1114d434b4..24f7722f82 100644
--- a/docs/dyn/securitycenter_v1.folders.notificationConfigs.html
+++ b/docs/dyn/securitycenter_v1.folders.notificationConfigs.html
@@ -111,6 +111,7 @@ 
Method Details

     The object takes the form of:
 
 {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -130,6 +131,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -173,6 +175,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -203,6 +206,7 @@ 
Method Details

   "nextPageToken": "A String",
   "notificationConfigs": [
     {
+      "deletionNotificationsEnabled": True or False,
       "description": "A String",
       "name": "A String",
       "pubsubTopic": "A String",
@@ -239,6 +243,7 @@ 
Method Details

     The object takes the form of:
 
 {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -258,6 +263,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
diff --git a/docs/dyn/securitycenter_v1.organizations.bigQueryExports.html b/docs/dyn/securitycenter_v1.organizations.bigQueryExports.html
index e5b7129518..20b004e754 100644
--- a/docs/dyn/securitycenter_v1.organizations.bigQueryExports.html
+++ b/docs/dyn/securitycenter_v1.organizations.bigQueryExports.html
@@ -113,6 +113,7 @@ 
Method Details

 {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -133,6 +134,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -177,6 +179,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -207,6 +210,7 @@ 
Method Details

     {
       "createTime": "A String",
       "dataset": "A String",
+      "deletionNotificationsEnabled": True or False,
       "description": "A String",
       "filter": "A String",
       "mostRecentEditor": "A String",
@@ -245,6 +249,7 @@ 
Method Details

 {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -265,6 +270,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
diff --git a/docs/dyn/securitycenter_v1.organizations.notificationConfigs.html b/docs/dyn/securitycenter_v1.organizations.notificationConfigs.html
index 745e2c0ae2..a806b57fc7 100644
--- a/docs/dyn/securitycenter_v1.organizations.notificationConfigs.html
+++ b/docs/dyn/securitycenter_v1.organizations.notificationConfigs.html
@@ -111,6 +111,7 @@ 
Method Details

     The object takes the form of:
 
 {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -130,6 +131,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -173,6 +175,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -203,6 +206,7 @@ 
Method Details

   "nextPageToken": "A String",
   "notificationConfigs": [
     {
+      "deletionNotificationsEnabled": True or False,
       "description": "A String",
       "name": "A String",
       "pubsubTopic": "A String",
@@ -239,6 +243,7 @@ 
Method Details

     The object takes the form of:
 
 {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -258,6 +263,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
diff --git a/docs/dyn/securitycenter_v1.projects.bigQueryExports.html b/docs/dyn/securitycenter_v1.projects.bigQueryExports.html
index 5bbbd76b2c..16c0a2d835 100644
--- a/docs/dyn/securitycenter_v1.projects.bigQueryExports.html
+++ b/docs/dyn/securitycenter_v1.projects.bigQueryExports.html
@@ -113,6 +113,7 @@ 
Method Details

 {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -133,6 +134,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -177,6 +179,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -207,6 +210,7 @@ 
Method Details

     {
       "createTime": "A String",
       "dataset": "A String",
+      "deletionNotificationsEnabled": True or False,
       "description": "A String",
       "filter": "A String",
       "mostRecentEditor": "A String",
@@ -245,6 +249,7 @@ 
Method Details

 {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
@@ -265,6 +270,7 @@ 
Method Details

     {
   "createTime": "A String",
   "dataset": "A String",
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "filter": "A String",
   "mostRecentEditor": "A String",
diff --git a/docs/dyn/securitycenter_v1.projects.notificationConfigs.html b/docs/dyn/securitycenter_v1.projects.notificationConfigs.html
index d3584fe30d..f5c56755a9 100644
--- a/docs/dyn/securitycenter_v1.projects.notificationConfigs.html
+++ b/docs/dyn/securitycenter_v1.projects.notificationConfigs.html
@@ -111,6 +111,7 @@ 
Method Details

     The object takes the form of:
 
 {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -130,6 +131,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -173,6 +175,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -203,6 +206,7 @@ 
Method Details

   "nextPageToken": "A String",
   "notificationConfigs": [
     {
+      "deletionNotificationsEnabled": True or False,
       "description": "A String",
       "name": "A String",
       "pubsubTopic": "A String",
@@ -239,6 +243,7 @@ 
Method Details

     The object takes the form of:
 
 {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
@@ -258,6 +263,7 @@ 
Method Details

   An object of the form:
 
     {
+  "deletionNotificationsEnabled": True or False,
   "description": "A String",
   "name": "A String",
   "pubsubTopic": "A String",
diff --git a/googleapiclient/discovery_cache/documents/securitycenter.v1.json b/googleapiclient/discovery_cache/documents/securitycenter.v1.json
index 75d5eb0099..5f1952d3c4 100644
--- a/googleapiclient/discovery_cache/documents/securitycenter.v1.json
+++ b/googleapiclient/discovery_cache/documents/securitycenter.v1.json
@@ -5766,7 +5766,7 @@
 }
 }
 },
-"revision": "20260724",
+"revision": "20261005",
 "rootUrl": "https://securitycenter.googleapis.com/",
 "schemas": {
 "Access": {
@@ -8246,6 +8246,9 @@ false
 "dataset": {
 "type": "string"
 },
+"deletionNotificationsEnabled": {
+"type": "boolean"
+},
 "description": {
 "type": "string"
 },
@@ -8517,6 +8520,9 @@ false
 "GoogleCloudSecuritycenterV1NotificationMessage": {
 "id": "GoogleCloudSecuritycenterV1NotificationMessage",
 "properties": {
+"deletedFinding": {
+"type": "boolean"
+},
 "finding": {
 "$ref": "Finding"
 },
@@ -9675,6 +9681,9 @@ false
 "dataset": {
 "type": "string"
 },
+"deletionNotificationsEnabled": {
+"type": "boolean"
+},
 "description": {
 "type": "string"
 },
@@ -12781,6 +12790,9 @@ false
 "GoogleCloudSecuritycenterV2NotificationMessage": {
 "id": "GoogleCloudSecuritycenterV2NotificationMessage",
 "properties": {
+"deletedFinding": {
+"type": "boolean"
+},
 "finding": {
 "$ref": "GoogleCloudSecuritycenterV2Finding"
 },
@@ -15233,6 +15245,9 @@ false
 "NotificationConfig": {
 "id": "NotificationConfig",
 "properties": {
+"deletionNotificationsEnabled": {
+"type": "boolean"
+},
 "description": {
 "type": "string"
 },
diff --git a/googleapiclient/discovery_cache/documents/securitycenter.v1beta1.json b/googleapiclient/discovery_cache/documents/securitycenter.v1beta1.json
index 6557392dc5..f6c135813b 100644
--- a/googleapiclient/discovery_cache/documents/securitycenter.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/securitycenter.v1beta1.json
@@ -895,7 +895,7 @@
 }
 }
 },
-"revision": "20260724",
+"revision": "20261005",
 "rootUrl": "https://securitycenter.googleapis.com/",
 "schemas": {
 "Access": {
@@ -3048,6 +3048,9 @@ false
 "dataset": {
 "type": "string"
 },
+"deletionNotificationsEnabled": {
+"type": "boolean"
+},
 "description": {
 "type": "string"
 },
@@ -3319,6 +3322,9 @@ false
 "GoogleCloudSecuritycenterV1NotificationMessage": {
 "id": "GoogleCloudSecuritycenterV1NotificationMessage",
 "properties": {
+"deletedFinding": {
+"type": "boolean"
+},
 "finding": {
 "$ref": "Finding"
 },
@@ -4544,6 +4550,9 @@ false
 "dataset": {
 "type": "string"
 },
+"deletionNotificationsEnabled": {
+"type": "boolean"
+},
 "description": {
 "type": "string"
 },
@@ -7650,6 +7659,9 @@ false
 "GoogleCloudSecuritycenterV2NotificationMessage": {
 "id": "GoogleCloudSecuritycenterV2NotificationMessage",
 "properties": {
+"deletedFinding": {
+"type": "boolean"
+},
 "finding": {
 "$ref": "GoogleCloudSecuritycenterV2Finding"
 },
diff --git a/googleapiclient/discovery_cache/documents/securitycenter.v1beta2.json b/googleapiclient/discovery_cache/documents/securitycenter.v1beta2.json
index c5e8c0a29f..3cb890c73f 100644
--- a/googleapiclient/discovery_cache/documents/securitycenter.v1beta2.json
+++ b/googleapiclient/discovery_cache/documents/securitycenter.v1beta2.json
@@ -1971,7 +1971,7 @@
 }
 }
 },
-"revision": "20260724",
+"revision": "20261005",
 "rootUrl": "https://securitycenter.googleapis.com/",
 "schemas": {
 "Access": {
@@ -4122,6 +4122,9 @@ false
 "dataset": {
 "type": "string"
 },
+"deletionNotificationsEnabled": {
+"type": "boolean"
+},
 "description": {
 "type": "string"
 },
@@ -4393,6 +4396,9 @@ false
 "GoogleCloudSecuritycenterV1NotificationMessage": {
 "id": "GoogleCloudSecuritycenterV1NotificationMessage",
 "properties": {
+"deletedFinding": {
+"type": "boolean"
+},
 "finding": {
 "$ref": "Finding"
 },
@@ -5551,6 +5557,9 @@ false
 "dataset": {
 "type": "string"
 },
+"deletionNotificationsEnabled": {
+"type": "boolean"
+},
 "description": {
 "type": "string"
 },
@@ -8657,6 +8666,9 @@ false
 "GoogleCloudSecuritycenterV2NotificationMessage": {
 "id": "GoogleCloudSecuritycenterV2NotificationMessage",
 "properties": {
+"deletedFinding": {
+"type": "boolean"
+},
 "finding": {
 "$ref": "GoogleCloudSecuritycenterV2Finding"
 },

From b61cb24f5ce87a754ad07589e653b1fcda765f7e Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:46 +0000
Subject: [PATCH 28/32] feat(servicecontrol): update the api

#### servicecontrol:v1

The following keys were added:
- schemas.AuditLog.properties.callerAgent.$ref (Total Keys: 1)
- schemas.CallerAgent (Total Keys: 3)

#### servicecontrol:v2

The following keys were added:
- schemas.AuditLog.properties.callerAgent.$ref (Total Keys: 1)
- schemas.CallerAgent (Total Keys: 3)
---
 .../documents/servicecontrol.v1.json          | 27 ++++++++++++++++++-
 .../documents/servicecontrol.v2.json          | 27 ++++++++++++++++++-
 2 files changed, 52 insertions(+), 2 deletions(-)

diff --git a/googleapiclient/discovery_cache/documents/servicecontrol.v1.json b/googleapiclient/discovery_cache/documents/servicecontrol.v1.json
index ac73bb5511..78bedaa915 100644
--- a/googleapiclient/discovery_cache/documents/servicecontrol.v1.json
+++ b/googleapiclient/discovery_cache/documents/servicecontrol.v1.json
@@ -197,7 +197,7 @@
 }
 }
 },
-"revision": "20260914",
+"revision": "20261002",
 "rootUrl": "https://servicecontrol.googleapis.com/",
 "schemas": {
 "AllocateInfo": {
@@ -319,6 +319,10 @@
 },
 "type": "array"
 },
+"callerAgent": {
+"$ref": "CallerAgent",
+"description": "Information set when the caller is an agent."
+},
 "metadata": {
 "additionalProperties": {
 "description": "Properties of the object.",
@@ -558,6 +562,27 @@
 },
 "type": "object"
 },
+"CallerAgent": {
+"description": "Information set when the caller is an agent.",
+"id": "CallerAgent",
+"properties": {
+"authority": {
+"description": "The type of authority for the caller agent.",
+"enum": [
+"AUTHORITY_TYPE_UNSPECIFIED",
+"SELF",
+"ON_BEHALF_OF"
+],
+"enumDescriptions": [
+"Default value. Should not be used.",
+"Acts under its own authority.",
+"Acts on behalf of another authority."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "CheckError": {
 "description": "Defines the errors to be returned in google.api.servicecontrol.v1.CheckResponse.check_errors.",
 "id": "CheckError",
diff --git a/googleapiclient/discovery_cache/documents/servicecontrol.v2.json b/googleapiclient/discovery_cache/documents/servicecontrol.v2.json
index 2b47d7cf21..14bf96a82b 100644
--- a/googleapiclient/discovery_cache/documents/servicecontrol.v2.json
+++ b/googleapiclient/discovery_cache/documents/servicecontrol.v2.json
@@ -169,7 +169,7 @@
 }
 }
 },
-"revision": "20260914",
+"revision": "20261002",
 "rootUrl": "https://servicecontrol.googleapis.com/",
 "schemas": {
 "Api": {
@@ -260,6 +260,10 @@
 },
 "type": "array"
 },
+"callerAgent": {
+"$ref": "CallerAgent",
+"description": "Information set when the caller is an agent."
+},
 "metadata": {
 "additionalProperties": {
 "description": "Properties of the object.",
@@ -499,6 +503,27 @@
 },
 "type": "object"
 },
+"CallerAgent": {
+"description": "Information set when the caller is an agent.",
+"id": "CallerAgent",
+"properties": {
+"authority": {
+"description": "The type of authority for the caller agent.",
+"enum": [
+"AUTHORITY_TYPE_UNSPECIFIED",
+"SELF",
+"ON_BEHALF_OF"
+],
+"enumDescriptions": [
+"Default value. Should not be used.",
+"Acts under its own authority.",
+"Acts on behalf of another authority."
+],
+"type": "string"
+}
+},
+"type": "object"
+},
 "CheckRequest": {
 "description": "Request message for the Check method.",
 "id": "CheckRequest",

From 5da619b4a5fb400f5150047f75494c10c6c2768a Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:46 +0000
Subject: [PATCH 29/32] fix(spanner): update the api

#### spanner:v1

The following keys were changed:
- endpoints (Total Keys: 1)
---
 .../discovery_cache/documents/spanner.v1.json        | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/googleapiclient/discovery_cache/documents/spanner.v1.json b/googleapiclient/discovery_cache/documents/spanner.v1.json
index bb18e12604..3c4534c2e2 100644
--- a/googleapiclient/discovery_cache/documents/spanner.v1.json
+++ b/googleapiclient/discovery_cache/documents/spanner.v1.json
@@ -29,6 +29,11 @@
 },
 {
 "description": "Regional Endpoint",
+"endpointUrl": "https://spanner.europe-southwest1.rep.googleapis.com/",
+"location": "europe-southwest1"
+},
+{
+"description": "Regional Endpoint",
 "endpointUrl": "https://spanner.me-central2.rep.googleapis.com/",
 "location": "me-central2"
 },
@@ -91,6 +96,11 @@
 "description": "Regional Endpoint",
 "endpointUrl": "https://spanner.us-east7.rep.googleapis.com/",
 "location": "us-east7"
+},
+{
+"description": "Regional Endpoint",
+"endpointUrl": "https://spanner.us.rep.googleapis.com/",
+"location": "us"
 }
 ],
 "fullyEncodeReservedExpansion": true,
@@ -3436,7 +3446,7 @@
 }
 }
 },
-"revision": "20260622",
+"revision": "20260928",
 "rootUrl": "https://spanner.googleapis.com/",
 "schemas": {
 "Ack": {

From 7244849fef09276bad045c13eb3cfdcf8482a573 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:46 +0000
Subject: [PATCH 30/32] feat(workspaceevents): update the api

#### workspaceevents:v1

The following keys were deleted:
- resources.message.methods.stream (Total Keys: 7)
- resources.tasks.methods.cancel (Total Keys: 11)
- resources.tasks.methods.get (Total Keys: 15)
- resources.tasks.methods.subscribe (Total Keys: 12)
- resources.tasks.resources.pushNotificationConfigs.methods.create (Total Keys: 15)
- resources.tasks.resources.pushNotificationConfigs.methods.delete (Total Keys: 12)
- resources.tasks.resources.pushNotificationConfigs.methods.get (Total Keys: 12)
- resources.tasks.resources.pushNotificationConfigs.methods.list (Total Keys: 17)
- schemas.Artifact (Total Keys: 10)
- schemas.AuthenticationInfo (Total Keys: 5)
- schemas.CancelTaskRequest (Total Keys: 3)
- schemas.DataPart (Total Keys: 4)
- schemas.Empty (Total Keys: 2)
- schemas.FilePart (Total Keys: 7)
- schemas.ListTaskPushNotificationConfigResponse (Total Keys: 5)
- schemas.Message (Total Keys: 12)
- schemas.Part (Total Keys: 7)
- schemas.PushNotificationConfig (Total Keys: 5)
- schemas.SendMessageConfiguration (Total Keys: 8)
- schemas.SendMessageRequest (Total Keys: 7)
- schemas.StreamResponse (Total Keys: 6)
- schemas.Task (Total Keys: 38)
---
 docs/dyn/workspaceevents_v1.html              |  10 -
 .../documents/workspaceevents.v1.json         | 707 +-----------------
 2 files changed, 1 insertion(+), 716 deletions(-)

diff --git a/docs/dyn/workspaceevents_v1.html b/docs/dyn/workspaceevents_v1.html
index 6ae45d53fe..5361638c05 100644
--- a/docs/dyn/workspaceevents_v1.html
+++ b/docs/dyn/workspaceevents_v1.html
@@ -74,11 +74,6 @@
 
 
Google Workspace Events API

 
Instance Methods

-

-  message()
-

-
Returns the message Resource.

-
 

   operations()
 

@@ -89,11 +84,6 @@ 
Instance Methods

 

 
Returns the subscriptions Resource.

 
-

-  tasks()
-

-
Returns the tasks Resource.

-
 

   close()

 
Close httplib2 connections.

diff --git a/googleapiclient/discovery_cache/documents/workspaceevents.v1.json b/googleapiclient/discovery_cache/documents/workspaceevents.v1.json
index 883ff38ba5..8fadd246fa 100644
--- a/googleapiclient/discovery_cache/documents/workspaceevents.v1.json
+++ b/googleapiclient/discovery_cache/documents/workspaceevents.v1.json
@@ -189,25 +189,6 @@
 },
 "protocol": "rest",
 "resources": {
-"message": {
-"methods": {
-"stream": {
-"description": "SendStreamingMessage is a streaming call that will return a stream of task update events until the Task is in an interrupted or terminal state.",
-"flatPath": "v1/message:stream",
-"httpMethod": "POST",
-"id": "workspaceevents.message.stream",
-"parameterOrder": [],
-"parameters": {},
-"path": "v1/message:stream",
-"request": {
-"$ref": "SendMessageRequest"
-},
-"response": {
-"$ref": "StreamResponse"
-}
-}
-}
-},
 "operations": {
 "methods": {
 "get": {
@@ -585,316 +566,11 @@
 ]
 }
 }
-},
-"tasks": {
-"methods": {
-"cancel": {
-"description": "Cancel a task from the agent. If supported one should expect no more task updates for the task.",
-"flatPath": "v1/tasks/{tasksId}:cancel",
-"httpMethod": "POST",
-"id": "workspaceevents.tasks.cancel",
-"parameterOrder": [
-"name"
-],
-"parameters": {
-"name": {
-"description": "The resource name of the task to cancel. Format: tasks/{task_id}",
-"location": "path",
-"pattern": "^tasks/[^/]+$",
-"required": true,
-"type": "string"
-}
-},
-"path": "v1/{+name}:cancel",
-"request": {
-"$ref": "CancelTaskRequest"
-},
-"response": {
-"$ref": "Task"
 }
 },
-"get": {
-"description": "Get the current state of a task from the agent.",
-"flatPath": "v1/tasks/{tasksId}",
-"httpMethod": "GET",
-"id": "workspaceevents.tasks.get",
-"parameterOrder": [
-"name"
-],
-"parameters": {
-"historyLength": {
-"description": "The number of most recent messages from the task's history to retrieve.",
-"format": "int32",
-"location": "query",
-"type": "integer"
-},
-"name": {
-"description": "Required. The resource name of the task. Format: tasks/{task_id}",
-"location": "path",
-"pattern": "^tasks/[^/]+$",
-"required": true,
-"type": "string"
-},
-"tenant": {
-"description": "Optional tenant, provided as a path parameter. Experimental, might still change for 1.0 release.",
-"location": "query",
-"type": "string"
-}
-},
-"path": "v1/{+name}",
-"response": {
-"$ref": "Task"
-}
-},
-"subscribe": {
-"description": "TaskSubscription is a streaming call that will return a stream of task update events. This attaches the stream to an existing in process task. If the task is complete the stream will return the completed task (like GetTask) and close the stream.",
-"flatPath": "v1/tasks/{tasksId}:subscribe",
-"httpMethod": "GET",
-"id": "workspaceevents.tasks.subscribe",
-"parameterOrder": [
-"name"
-],
-"parameters": {
-"name": {
-"description": "The resource name of the task to subscribe to. Format: tasks/{task_id}",
-"location": "path",
-"pattern": "^tasks/[^/]+$",
-"required": true,
-"type": "string"
-},
-"tenant": {
-"description": "Optional tenant, provided as a path parameter. Experimental, might still change for 1.0 release.",
-"location": "query",
-"type": "string"
-}
-},
-"path": "v1/{+name}:subscribe",
-"response": {
-"$ref": "StreamResponse"
-}
-}
-},
-"resources": {
-"pushNotificationConfigs": {
-"methods": {
-"create": {
-"description": "Set a push notification config for a task.",
-"flatPath": "v1/tasks/{tasksId}/pushNotificationConfigs",
-"httpMethod": "POST",
-"id": "workspaceevents.tasks.pushNotificationConfigs.create",
-"parameterOrder": [
-"parent"
-],
-"parameters": {
-"configId": {
-"description": "Required. The ID for the new config.",
-"location": "query",
-"type": "string"
-},
-"parent": {
-"description": "Required. The parent task resource for this config. Format: tasks/{task_id}",
-"location": "path",
-"pattern": "^tasks/[^/]+/pushNotificationConfigs$",
-"required": true,
-"type": "string"
-},
-"tenant": {
-"description": "Optional tenant, provided as a path parameter. Experimental, might still change for 1.0 release.",
-"location": "query",
-"type": "string"
-}
-},
-"path": "v1/{+parent}",
-"request": {
-"$ref": "TaskPushNotificationConfig"
-},
-"response": {
-"$ref": "TaskPushNotificationConfig"
-}
-},
-"delete": {
-"description": "Delete a push notification config for a task.",
-"flatPath": "v1/tasks/{tasksId}/pushNotificationConfigs/{pushNotificationConfigsId}",
-"httpMethod": "DELETE",
-"id": "workspaceevents.tasks.pushNotificationConfigs.delete",
-"parameterOrder": [
-"name"
-],
-"parameters": {
-"name": {
-"description": "The resource name of the config to delete. Format: tasks/{task_id}/pushNotificationConfigs/{config_id}",
-"location": "path",
-"pattern": "^tasks/[^/]+/pushNotificationConfigs/[^/]+$",
-"required": true,
-"type": "string"
-},
-"tenant": {
-"description": "Optional tenant, provided as a path parameter. Experimental, might still change for 1.0 release.",
-"location": "query",
-"type": "string"
-}
-},
-"path": "v1/{+name}",
-"response": {
-"$ref": "Empty"
-}
-},
-"get": {
-"description": "Get a push notification config for a task.",
-"flatPath": "v1/tasks/{tasksId}/pushNotificationConfigs/{pushNotificationConfigsId}",
-"httpMethod": "GET",
-"id": "workspaceevents.tasks.pushNotificationConfigs.get",
-"parameterOrder": [
-"name"
-],
-"parameters": {
-"name": {
-"description": "The resource name of the config to retrieve. Format: tasks/{task_id}/pushNotificationConfigs/{config_id}",
-"location": "path",
-"pattern": "^tasks/[^/]+/pushNotificationConfigs/[^/]+$",
-"required": true,
-"type": "string"
-},
-"tenant": {
-"description": "Optional tenant, provided as a path parameter. Experimental, might still change for 1.0 release.",
-"location": "query",
-"type": "string"
-}
-},
-"path": "v1/{+name}",
-"response": {
-"$ref": "TaskPushNotificationConfig"
-}
-},
-"list": {
-"description": "Get a list of push notifications configured for a task.",
-"flatPath": "v1/tasks/{tasksId}/pushNotificationConfigs",
-"httpMethod": "GET",
-"id": "workspaceevents.tasks.pushNotificationConfigs.list",
-"parameterOrder": [
-"parent"
-],
-"parameters": {
-"pageSize": {
-"description": "For AIP-158 these fields are present. Usually not used/needed. The maximum number of configurations to return. If unspecified, all configs will be returned.",
-"format": "int32",
-"location": "query",
-"type": "integer"
-},
-"pageToken": {
-"description": "A page token received from a previous ListTaskPushNotificationConfigRequest call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListTaskPushNotificationConfigRequest` must match the call that provided the page token.",
-"location": "query",
-"type": "string"
-},
-"parent": {
-"description": "The parent task resource. Format: tasks/{task_id}",
-"location": "path",
-"pattern": "^tasks/[^/]+$",
-"required": true,
-"type": "string"
-},
-"tenant": {
-"description": "Optional tenant, provided as a path parameter. Experimental, might still change for 1.0 release.",
-"location": "query",
-"type": "string"
-}
-},
-"path": "v1/{+parent}/pushNotificationConfigs",
-"response": {
-"$ref": "ListTaskPushNotificationConfigResponse"
-}
-}
-}
-}
-}
-}
-},
-"revision": "20260929",
+"revision": "20261004",
 "rootUrl": "https://workspaceevents.googleapis.com/",
 "schemas": {
-"Artifact": {
-"description": "Artifacts are the container for task completed results. These are similar to Messages but are intended to be the product of a task, as opposed to point-to-point communication.",
-"id": "Artifact",
-"properties": {
-"artifactId": {
-"description": "Unique identifier (e.g. UUID) for the artifact. It must be at least unique within a task.",
-"type": "string"
-},
-"description": {
-"description": "A human readable description of the artifact, optional.",
-"type": "string"
-},
-"extensions": {
-"description": "The URIs of extensions that are present or contributed to this Artifact.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"metadata": {
-"additionalProperties": {
-"description": "Properties of the object.",
-"type": "any"
-},
-"description": "Optional metadata included with the artifact.",
-"type": "object"
-},
-"name": {
-"description": "A human readable name for the artifact.",
-"type": "string"
-},
-"parts": {
-"description": "The content of the artifact.",
-"items": {
-"$ref": "Part"
-},
-"type": "array"
-}
-},
-"type": "object"
-},
-"AuthenticationInfo": {
-"description": "Defines authentication details, used for push notifications.",
-"id": "AuthenticationInfo",
-"properties": {
-"credentials": {
-"description": "Optional credentials",
-"type": "string"
-},
-"schemes": {
-"description": "Supported authentication schemes - e.g. Basic, Bearer, etc",
-"items": {
-"type": "string"
-},
-"type": "array"
-}
-},
-"type": "object"
-},
-"CancelTaskRequest": {
-"id": "CancelTaskRequest",
-"properties": {
-"tenant": {
-"description": "Optional tenant, provided as a path parameter. Experimental, might still change for 1.0 release.",
-"type": "string"
-}
-},
-"type": "object"
-},
-"DataPart": {
-"description": "DataPart represents a structured blob. This is most commonly a JSON payload.",
-"id": "DataPart",
-"properties": {
-"data": {
-"additionalProperties": {
-"description": "Properties of the object.",
-"type": "any"
-},
-"type": "object"
-}
-},
-"type": "object"
-},
 "DriveOptions": {
 "description": "Additional supported options for serving Drive events.",
 "id": "DriveOptions",
@@ -906,32 +582,6 @@
 },
 "type": "object"
 },
-"Empty": {
-"description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }",
-"id": "Empty",
-"properties": {},
-"type": "object"
-},
-"FilePart": {
-"description": "FilePart represents the different ways files can be provided. If files are small, directly feeding the bytes is supported via file_with_bytes. If the file is large, the agent should read the content as appropriate directly from the file_with_uri source.",
-"id": "FilePart",
-"properties": {
-"fileWithBytes": {
-"format": "byte",
-"type": "string"
-},
-"fileWithUri": {
-"type": "string"
-},
-"mimeType": {
-"type": "string"
-},
-"name": {
-"type": "string"
-}
-},
-"type": "object"
-},
 "ListSubscriptionsResponse": {
 "description": "The response message for SubscriptionsService.ListSubscriptions.",
 "id": "ListSubscriptionsResponse",
@@ -950,78 +600,6 @@
 },
 "type": "object"
 },
-"ListTaskPushNotificationConfigResponse": {
-"id": "ListTaskPushNotificationConfigResponse",
-"properties": {
-"configs": {
-"description": "The list of push notification configurations.",
-"items": {
-"$ref": "TaskPushNotificationConfig"
-},
-"type": "array"
-},
-"nextPageToken": {
-"description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.",
-"type": "string"
-}
-},
-"type": "object"
-},
-"Message": {
-"description": "Message is one unit of communication between client and server. It is associated with a context and optionally a task. Since the server is responsible for the context definition, it must always provide a context_id in its messages. The client can optionally provide the context_id if it knows the context to associate the message to. Similarly for task_id, except the server decides if a task is created and whether to include the task_id.",
-"id": "Message",
-"properties": {
-"content": {
-"description": "protolint:disable REPEATED_FIELD_NAMES_PLURALIZED Content is the container of the message content.",
-"items": {
-"$ref": "Part"
-},
-"type": "array"
-},
-"contextId": {
-"description": "The context id of the message. This is optional and if set, the message will be associated with the given context.",
-"type": "string"
-},
-"extensions": {
-"description": "The URIs of extensions that are present or contributed to this Message.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"messageId": {
-"description": "The unique identifier (e.g. UUID)of the message. This is required and created by the message creator.",
-"type": "string"
-},
-"metadata": {
-"additionalProperties": {
-"description": "Properties of the object.",
-"type": "any"
-},
-"description": "protolint:enable REPEATED_FIELD_NAMES_PLURALIZED Any optional metadata to provide along with the message.",
-"type": "object"
-},
-"role": {
-"description": "A role for the message.",
-"enum": [
-"ROLE_UNSPECIFIED",
-"ROLE_USER",
-"ROLE_AGENT"
-],
-"enumDescriptions": [
-"",
-"USER role refers to communication from the client to the server.",
-"AGENT role refers to communication from the server to the client."
-],
-"type": "string"
-},
-"taskId": {
-"description": "The task id of the message. This is optional and if set, the message will be associated with the given task.",
-"type": "string"
-}
-},
-"type": "object"
-},
 "NotificationEndpoint": {
 "description": "The endpoint where the subscription delivers events.",
 "id": "NotificationEndpoint",
@@ -1068,30 +646,6 @@
 },
 "type": "object"
 },
-"Part": {
-"description": "Part represents a container for a section of communication content. Parts can be purely textual, some sort of file (image, video, etc) or a structured data blob (i.e. JSON).",
-"id": "Part",
-"properties": {
-"data": {
-"$ref": "DataPart"
-},
-"file": {
-"$ref": "FilePart"
-},
-"metadata": {
-"additionalProperties": {
-"description": "Properties of the object.",
-"type": "any"
-},
-"description": "Optional metadata associated with this part.",
-"type": "object"
-},
-"text": {
-"type": "string"
-}
-},
-"type": "object"
-},
 "PayloadOptions": {
 "description": "Options about what data to include in the event payload. Only supported for Google Chat and Google Drive events.",
 "id": "PayloadOptions",
@@ -1108,89 +662,12 @@
 },
 "type": "object"
 },
-"PushNotificationConfig": {
-"description": "Configuration for setting up push notifications for task updates.",
-"id": "PushNotificationConfig",
-"properties": {
-"authentication": {
-"$ref": "AuthenticationInfo",
-"description": "Information about the authentication to sent with the notification"
-},
-"id": {
-"description": "A unique identifier (e.g. UUID) for this push notification.",
-"type": "string"
-},
-"token": {
-"description": "Token unique for this task/session",
-"type": "string"
-},
-"url": {
-"description": "Url to send the notification too",
-"type": "string"
-}
-},
-"type": "object"
-},
 "ReactivateSubscriptionRequest": {
 "description": "The request message for SubscriptionsService.ReactivateSubscription.",
 "id": "ReactivateSubscriptionRequest",
 "properties": {},
 "type": "object"
 },
-"SendMessageConfiguration": {
-"description": "Configuration of a send message request.",
-"id": "SendMessageConfiguration",
-"properties": {
-"acceptedOutputModes": {
-"description": "The output modes that the agent is expected to respond with.",
-"items": {
-"type": "string"
-},
-"type": "array"
-},
-"blocking": {
-"description": "If true, the message will be blocking until the task is completed. If false, the message will be non-blocking and the task will be returned immediately. It is the caller's responsibility to check for any task updates.",
-"type": "boolean"
-},
-"historyLength": {
-"description": "The maximum number of messages to include in the history. if 0, the history will be unlimited.",
-"format": "int32",
-"type": "integer"
-},
-"pushNotification": {
-"$ref": "PushNotificationConfig",
-"description": "A configuration of a webhook that can be used to receive updates"
-}
-},
-"type": "object"
-},
-"SendMessageRequest": {
-"description": "/////////// Request Messages ///////////",
-"id": "SendMessageRequest",
-"properties": {
-"configuration": {
-"$ref": "SendMessageConfiguration",
-"description": "Configuration for the send request."
-},
-"message": {
-"$ref": "Message",
-"description": "Required. The message to send to the agent."
-},
-"metadata": {
-"additionalProperties": {
-"description": "Properties of the object.",
-"type": "any"
-},
-"description": "Optional metadata for the request.",
-"type": "object"
-},
-"tenant": {
-"description": "Optional tenant, provided as a path parameter. Experimental, might still change for 1.0 release.",
-"type": "string"
-}
-},
-"type": "object"
-},
 "Status": {
 "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).",
 "id": "Status",
@@ -1218,25 +695,6 @@
 },
 "type": "object"
 },
-"StreamResponse": {
-"description": "The stream response for a message. The stream should be one of the following sequences: If the response is a message, the stream should contain one, and only one, message and then close If the response is a task lifecycle, the first response should be a Task object followed by zero or more TaskStatusUpdateEvents and TaskArtifactUpdateEvents. The stream should complete when the Task if in an interrupted or terminal state. A stream that ends before these conditions are met are",
-"id": "StreamResponse",
-"properties": {
-"artifactUpdate": {
-"$ref": "TaskArtifactUpdateEvent"
-},
-"message": {
-"$ref": "Message"
-},
-"statusUpdate": {
-"$ref": "TaskStatusUpdateEvent"
-},
-"task": {
-"$ref": "Task"
-}
-},
-"type": "object"
-},
 "Subscription": {
 "description": "A subscription to receive events about a Google Workspace resource. To learn more about subscriptions, see the [Google Workspace Events API overview](https://developers.google.com/workspace/events).",
 "id": "Subscription",
@@ -1367,169 +825,6 @@
 }
 },
 "type": "object"
-},
-"Task": {
-"description": "Task is the core unit of action for A2A. It has a current status and when results are created for the task they are stored in the artifact. If there are multiple turns for a task, these are stored in history.",
-"id": "Task",
-"properties": {
-"artifacts": {
-"description": "A set of output artifacts for a Task.",
-"items": {
-"$ref": "Artifact"
-},
-"type": "array"
-},
-"contextId": {
-"description": "Unique identifier (e.g. UUID) for the contextual collection of interactions (tasks and messages). Created by the A2A server.",
-"type": "string"
-},
-"history": {
-"description": "protolint:disable REPEATED_FIELD_NAMES_PLURALIZED The history of interactions from a task.",
-"items": {
-"$ref": "Message"
-},
-"type": "array"
-},
-"id": {
-"description": "Unique identifier (e.g. UUID) for the task, generated by the server for a new task.",
-"type": "string"
-},
-"metadata": {
-"additionalProperties": {
-"description": "Properties of the object.",
-"type": "any"
-},
-"description": "protolint:enable REPEATED_FIELD_NAMES_PLURALIZED A key/value object to store custom metadata about a task.",
-"type": "object"
-},
-"status": {
-"$ref": "TaskStatus",
-"description": "The current status of a Task, including state and a message."
-}
-},
-"type": "object"
-},
-"TaskArtifactUpdateEvent": {
-"description": "TaskArtifactUpdateEvent represents a task delta where an artifact has been generated.",
-"id": "TaskArtifactUpdateEvent",
-"properties": {
-"append": {
-"description": "Whether this should be appended to a prior one produced",
-"type": "boolean"
-},
-"artifact": {
-"$ref": "Artifact",
-"description": "The artifact itself"
-},
-"contextId": {
-"description": "The id of the context that this task belongs too",
-"type": "string"
-},
-"lastChunk": {
-"description": "Whether this represents the last part of an artifact",
-"type": "boolean"
-},
-"metadata": {
-"additionalProperties": {
-"description": "Properties of the object.",
-"type": "any"
-},
-"description": "Optional metadata associated with the artifact update.",
-"type": "object"
-},
-"taskId": {
-"description": "The id of the task for this artifact",
-"type": "string"
-}
-},
-"type": "object"
-},
-"TaskPushNotificationConfig": {
-"id": "TaskPushNotificationConfig",
-"properties": {
-"name": {
-"description": "The resource name of the config. Format: tasks/{task_id}/pushNotificationConfigs/{config_id}",
-"type": "string"
-},
-"pushNotificationConfig": {
-"$ref": "PushNotificationConfig",
-"description": "The push notification configuration details."
-}
-},
-"type": "object"
-},
-"TaskStatus": {
-"description": "A container for the status of a task",
-"id": "TaskStatus",
-"properties": {
-"message": {
-"$ref": "Message",
-"description": "A message associated with the status."
-},
-"state": {
-"description": "The current state of this task",
-"enum": [
-"TASK_STATE_UNSPECIFIED",
-"TASK_STATE_SUBMITTED",
-"TASK_STATE_WORKING",
-"TASK_STATE_COMPLETED",
-"TASK_STATE_FAILED",
-"TASK_STATE_CANCELLED",
-"TASK_STATE_INPUT_REQUIRED",
-"TASK_STATE_REJECTED",
-"TASK_STATE_AUTH_REQUIRED"
-],
-"enumDescriptions": [
-"",
-"Represents the status that acknowledges a task is created",
-"Represents the status that a task is actively being processed",
-"Represents the status a task is finished. This is a terminal state",
-"Represents the status a task is done but failed. This is a terminal state",
-"Represents the status a task was cancelled before it finished. This is a terminal state.",
-"Represents the status that the task requires information to complete. This is an interrupted state.",
-"Represents the status that the agent has decided to not perform the task. This may be done during initial task creation or later once an agent has determined it can't or won't proceed. This is a terminal state.",
-"Represents the state that some authentication is needed from the upstream client. Authentication is expected to come out-of-band thus this is not an interrupted or terminal state."
-],
-"type": "string"
-},
-"timestamp": {
-"description": "Timestamp when the status was recorded. Example: \"2023-10-27T10:00:00Z\"",
-"format": "google-datetime",
-"type": "string"
-}
-},
-"type": "object"
-},
-"TaskStatusUpdateEvent": {
-"description": "TaskStatusUpdateEvent is a delta even on a task indicating that a task has changed.",
-"id": "TaskStatusUpdateEvent",
-"properties": {
-"contextId": {
-"description": "The id of the context that the task belongs to",
-"type": "string"
-},
-"final": {
-"description": "Whether this is the last status update expected for this task.",
-"type": "boolean"
-},
-"metadata": {
-"additionalProperties": {
-"description": "Properties of the object.",
-"type": "any"
-},
-"description": "Optional metadata to associate with the task update.",
-"type": "object"
-},
-"status": {
-"$ref": "TaskStatus",
-"description": "The new status of the task."
-},
-"taskId": {
-"description": "The id of the task that is changed",
-"type": "string"
-}
-},
-"type": "object"
 }
 },
 "servicePath": "",

From a4e973a037062e4c50f7222f903c85e47dc18e79 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:46 +0000
Subject: [PATCH 31/32] feat(workstations): update the api

#### workstations:v1beta

The following keys were added:
- schemas.BoostConfig.properties.enableAutomaticFailover.type (Total Keys: 1)
---
 ...ts.locations.workstationClusters.workstationConfigs.html | 5 +++++
 .../discovery_cache/documents/workstations.v1beta.json      | 6 +++++-
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/docs/dyn/workstations_v1beta.projects.locations.workstationClusters.workstationConfigs.html b/docs/dyn/workstations_v1beta.projects.locations.workstationClusters.workstationConfigs.html
index 9615161afc..a815bcfa52 100644
--- a/docs/dyn/workstations_v1beta.projects.locations.workstationClusters.workstationConfigs.html
+++ b/docs/dyn/workstations_v1beta.projects.locations.workstationClusters.workstationConfigs.html
@@ -206,6 +206,7 @@ 
Method Details

             },
           ],
           "bootDiskSizeGb": 42, # Optional. The size of the boot disk for the VM in gigabytes (GB). The minimum boot disk size is `30` GB. Defaults to `50` GB.
+          "enableAutomaticFailover": True or False, # Optional. Indicates if this boost config is eligible for automatic failover when the service cannot provision the default VM type. Defaults to `false`.
           "enableNestedVirtualization": True or False, # Optional. Whether to enable nested virtualization on boosted Cloud Workstations VMs running using this boost configuration. Defaults to false. Nested virtualization lets you run virtual machine (VM) instances inside your workstation. Before enabling nested virtualization, consider the following important considerations. Cloud Workstations instances are subject to the [same restrictions as Compute Engine instances](https://cloud.google.com/compute/docs/instances/nested-virtualization/overview#restrictions): * **Organization policy**: projects, folders, or organizations may be restricted from creating nested VMs if the **Disable VM nested virtualization** constraint is enforced in the organization policy. For more information, see the Compute Engine section, [Checking whether nested virtualization is allowed](https://cloud.google.com/compute/docs/instances/nested-virtualization/managing-constraint#checking_whether_nested_virtualization_is_allowed). * **Performance**: nested VMs might experience a 10% or greater decrease in performance for workloads that are CPU-bound and possibly greater than a 10% decrease for workloads that are input/output bound. * **Machine Type**: nested virtualization can only be enabled on boost configurations that specify a machine_type in the N1 or N2 machine series.
           "id": "A String", # Required. The ID to be used for the boost configuration.
           "machineType": "A String", # Optional. The type of machine that boosted VM instances will use—for example, `e2-standard-4`. For more information about machine types that Cloud Workstations supports, see the list of [available machine types](https://cloud.google.com/workstations/docs/available-machine-types). Defaults to `e2-standard-4`.
@@ -467,6 +468,7 @@ 
Method Details

             },
           ],
           "bootDiskSizeGb": 42, # Optional. The size of the boot disk for the VM in gigabytes (GB). The minimum boot disk size is `30` GB. Defaults to `50` GB.
+          "enableAutomaticFailover": True or False, # Optional. Indicates if this boost config is eligible for automatic failover when the service cannot provision the default VM type. Defaults to `false`.
           "enableNestedVirtualization": True or False, # Optional. Whether to enable nested virtualization on boosted Cloud Workstations VMs running using this boost configuration. Defaults to false. Nested virtualization lets you run virtual machine (VM) instances inside your workstation. Before enabling nested virtualization, consider the following important considerations. Cloud Workstations instances are subject to the [same restrictions as Compute Engine instances](https://cloud.google.com/compute/docs/instances/nested-virtualization/overview#restrictions): * **Organization policy**: projects, folders, or organizations may be restricted from creating nested VMs if the **Disable VM nested virtualization** constraint is enforced in the organization policy. For more information, see the Compute Engine section, [Checking whether nested virtualization is allowed](https://cloud.google.com/compute/docs/instances/nested-virtualization/managing-constraint#checking_whether_nested_virtualization_is_allowed). * **Performance**: nested VMs might experience a 10% or greater decrease in performance for workloads that are CPU-bound and possibly greater than a 10% decrease for workloads that are input/output bound. * **Machine Type**: nested virtualization can only be enabled on boost configurations that specify a machine_type in the N1 or N2 machine series.
           "id": "A String", # Required. The ID to be used for the boost configuration.
           "machineType": "A String", # Optional. The type of machine that boosted VM instances will use—for example, `e2-standard-4`. For more information about machine types that Cloud Workstations supports, see the list of [available machine types](https://cloud.google.com/workstations/docs/available-machine-types). Defaults to `e2-standard-4`.
@@ -717,6 +719,7 @@ 
Method Details

                 },
               ],
               "bootDiskSizeGb": 42, # Optional. The size of the boot disk for the VM in gigabytes (GB). The minimum boot disk size is `30` GB. Defaults to `50` GB.
+              "enableAutomaticFailover": True or False, # Optional. Indicates if this boost config is eligible for automatic failover when the service cannot provision the default VM type. Defaults to `false`.
               "enableNestedVirtualization": True or False, # Optional. Whether to enable nested virtualization on boosted Cloud Workstations VMs running using this boost configuration. Defaults to false. Nested virtualization lets you run virtual machine (VM) instances inside your workstation. Before enabling nested virtualization, consider the following important considerations. Cloud Workstations instances are subject to the [same restrictions as Compute Engine instances](https://cloud.google.com/compute/docs/instances/nested-virtualization/overview#restrictions): * **Organization policy**: projects, folders, or organizations may be restricted from creating nested VMs if the **Disable VM nested virtualization** constraint is enforced in the organization policy. For more information, see the Compute Engine section, [Checking whether nested virtualization is allowed](https://cloud.google.com/compute/docs/instances/nested-virtualization/managing-constraint#checking_whether_nested_virtualization_is_allowed). * **Performance**: nested VMs might experience a 10% or greater decrease in performance for workloads that are CPU-bound and possibly greater than a 10% decrease for workloads that are input/output bound. * **Machine Type**: nested virtualization can only be enabled on boost configurations that specify a machine_type in the N1 or N2 machine series.
               "id": "A String", # Required. The ID to be used for the boost configuration.
               "machineType": "A String", # Optional. The type of machine that boosted VM instances will use—for example, `e2-standard-4`. For more information about machine types that Cloud Workstations supports, see the list of [available machine types](https://cloud.google.com/workstations/docs/available-machine-types). Defaults to `e2-standard-4`.
@@ -920,6 +923,7 @@ 
Method Details

                 },
               ],
               "bootDiskSizeGb": 42, # Optional. The size of the boot disk for the VM in gigabytes (GB). The minimum boot disk size is `30` GB. Defaults to `50` GB.
+              "enableAutomaticFailover": True or False, # Optional. Indicates if this boost config is eligible for automatic failover when the service cannot provision the default VM type. Defaults to `false`.
               "enableNestedVirtualization": True or False, # Optional. Whether to enable nested virtualization on boosted Cloud Workstations VMs running using this boost configuration. Defaults to false. Nested virtualization lets you run virtual machine (VM) instances inside your workstation. Before enabling nested virtualization, consider the following important considerations. Cloud Workstations instances are subject to the [same restrictions as Compute Engine instances](https://cloud.google.com/compute/docs/instances/nested-virtualization/overview#restrictions): * **Organization policy**: projects, folders, or organizations may be restricted from creating nested VMs if the **Disable VM nested virtualization** constraint is enforced in the organization policy. For more information, see the Compute Engine section, [Checking whether nested virtualization is allowed](https://cloud.google.com/compute/docs/instances/nested-virtualization/managing-constraint#checking_whether_nested_virtualization_is_allowed). * **Performance**: nested VMs might experience a 10% or greater decrease in performance for workloads that are CPU-bound and possibly greater than a 10% decrease for workloads that are input/output bound. * **Machine Type**: nested virtualization can only be enabled on boost configurations that specify a machine_type in the N1 or N2 machine series.
               "id": "A String", # Required. The ID to be used for the boost configuration.
               "machineType": "A String", # Optional. The type of machine that boosted VM instances will use—for example, `e2-standard-4`. For more information about machine types that Cloud Workstations supports, see the list of [available machine types](https://cloud.google.com/workstations/docs/available-machine-types). Defaults to `e2-standard-4`.
@@ -1138,6 +1142,7 @@ 
Method Details

             },
           ],
           "bootDiskSizeGb": 42, # Optional. The size of the boot disk for the VM in gigabytes (GB). The minimum boot disk size is `30` GB. Defaults to `50` GB.
+          "enableAutomaticFailover": True or False, # Optional. Indicates if this boost config is eligible for automatic failover when the service cannot provision the default VM type. Defaults to `false`.
           "enableNestedVirtualization": True or False, # Optional. Whether to enable nested virtualization on boosted Cloud Workstations VMs running using this boost configuration. Defaults to false. Nested virtualization lets you run virtual machine (VM) instances inside your workstation. Before enabling nested virtualization, consider the following important considerations. Cloud Workstations instances are subject to the [same restrictions as Compute Engine instances](https://cloud.google.com/compute/docs/instances/nested-virtualization/overview#restrictions): * **Organization policy**: projects, folders, or organizations may be restricted from creating nested VMs if the **Disable VM nested virtualization** constraint is enforced in the organization policy. For more information, see the Compute Engine section, [Checking whether nested virtualization is allowed](https://cloud.google.com/compute/docs/instances/nested-virtualization/managing-constraint#checking_whether_nested_virtualization_is_allowed). * **Performance**: nested VMs might experience a 10% or greater decrease in performance for workloads that are CPU-bound and possibly greater than a 10% decrease for workloads that are input/output bound. * **Machine Type**: nested virtualization can only be enabled on boost configurations that specify a machine_type in the N1 or N2 machine series.
           "id": "A String", # Required. The ID to be used for the boost configuration.
           "machineType": "A String", # Optional. The type of machine that boosted VM instances will use—for example, `e2-standard-4`. For more information about machine types that Cloud Workstations supports, see the list of [available machine types](https://cloud.google.com/workstations/docs/available-machine-types). Defaults to `e2-standard-4`.
diff --git a/googleapiclient/discovery_cache/documents/workstations.v1beta.json b/googleapiclient/discovery_cache/documents/workstations.v1beta.json
index 1ca0be5cb5..e14cb64fff 100644
--- a/googleapiclient/discovery_cache/documents/workstations.v1beta.json
+++ b/googleapiclient/discovery_cache/documents/workstations.v1beta.json
@@ -1245,7 +1245,7 @@
 }
 }
 },
-"revision": "20260923",
+"revision": "20261006",
 "rootUrl": "https://workstations.googleapis.com/",
 "schemas": {
 "Accelerator": {
@@ -1350,6 +1350,10 @@
 "format": "int32",
 "type": "integer"
 },
+"enableAutomaticFailover": {
+"description": "Optional. Indicates if this boost config is eligible for automatic failover when the service cannot provision the default VM type. Defaults to `false`.",
+"type": "boolean"
+},
 "enableNestedVirtualization": {
 "description": "Optional. Whether to enable nested virtualization on boosted Cloud Workstations VMs running using this boost configuration. Defaults to false. Nested virtualization lets you run virtual machine (VM) instances inside your workstation. Before enabling nested virtualization, consider the following important considerations. Cloud Workstations instances are subject to the [same restrictions as Compute Engine instances](https://cloud.google.com/compute/docs/instances/nested-virtualization/overview#restrictions): * **Organization policy**: projects, folders, or organizations may be restricted from creating nested VMs if the **Disable VM nested virtualization** constraint is enforced in the organization policy. For more information, see the Compute Engine section, [Checking whether nested virtualization is allowed](https://cloud.google.com/compute/docs/instances/nested-virtualization/managing-constraint#checking_whether_nested_virtualization_is_allowed). * **Performance**: nested VMs might experience a 10% or greater decrease in performance for workloads that are CPU-bound and possibly greater than a 10% decrease for workloads that are input/output bound. * **Machine Type**: nested virtualization can only be enabled on boost configurations that specify a machine_type in the N1 or N2 machine series.",
 "type": "boolean"

From 3dd055dfde974b7e2577ef29ad43f66cd8f8dc65 Mon Sep 17 00:00:00 2001
From: Yoshi Automation 
Date: Tue, 13 Oct 2026 07:31:46 +0000
Subject: [PATCH 32/32] chore(docs): Add new discovery artifacts and artifacts
 with minor updates

---
 docs/dyn/analyticsdata_v1beta.properties.html |  32 +-
 ...oidmanagement_v1.enterprises.policies.html |  24 +-
 docs/dyn/apigee_v1.organizations.html         |   1 +
 ...ry_v1.projects.locations.repositories.html |  60 +--
 ..._v1.projects.locations.cloudLocations.html |   4 +-
 ...pha.projects.locations.cloudLocations.html |   4 +-
 docs/dyn/docs_v1.documents.html               | 140 +++---
 ...entarc_v1.projects.locations.triggers.html |   8 +-
 .../gmail_v1.users.settings.cse.keypairs.html |  36 +-
 .../health_v4.users.dataTypes.dataPoints.html |  46 +-
 ...lth_v4beta.users.dataTypes.dataPoints.html |  56 +--
 ....projects.locations.extensionBindings.html | 408 +++++++--------
 ....projects.locations.extensionBindings.html | 408 +++++++--------
 ...locations.global_.policyOrchestrators.html |   8 +-
 ...locations.global_.policyOrchestrators.html |   8 +-
 ...locations.global_.policyOrchestrators.html |   8 +-
 ...locations.global_.policyOrchestrators.html |   8 +-
 ...locations.global_.policyOrchestrators.html |   8 +-
 ...locations.global_.policyOrchestrators.html |   8 +-
 docs/dyn/sheets_v4.spreadsheets.html          | 130 ++---
 docs/dyn/slides_v1.presentations.html         | 474 +++++++++---------
 docs/dyn/slides_v1.presentations.pages.html   |  32 +-
 .../sqladmin_v1beta4.workloadCaptures.html    |   4 +-
 .../discovery_cache/documents/admob.v1.json   |  14 +-
 .../documents/admob.v1beta.json               |  14 +-
 .../documents/analyticsdata.v1beta.json       |   6 +-
 .../documents/androidmanagement.v1.json       |  12 +-
 .../discovery_cache/documents/apigee.v1.json  |   8 +-
 .../documents/artifactregistry.v1.json        |  14 +-
 .../documents/backupdr.v1.json                |  26 +-
 .../documents/backupdr.v1beta.json            |  20 +-
 .../businessprofileperformance.v1.json        |   8 +-
 .../documents/cloudlocationfinder.v1.json     |   6 +-
 .../cloudlocationfinder.v1alpha.json          |   6 +-
 .../documents/containeranalysis.v1.json       |   8 +-
 .../documents/containeranalysis.v1alpha1.json |   8 +-
 .../documents/containeranalysis.v1beta1.json  |   8 +-
 .../documents/datamanager.v1.json             |   8 +-
 .../discovery_cache/documents/docs.v1.json    |  72 +--
 .../documents/eventarc.v1.json                |   4 +-
 .../discovery_cache/documents/gmail.v1.json   |  10 +-
 .../discovery_cache/documents/health.v4.json  |  38 +-
 .../documents/health.v4beta.json              |  40 +-
 .../documents/networkservices.v1.json         |  38 +-
 .../documents/networkservices.v1beta1.json    |  38 +-
 .../documents/osconfig.v2.json                |   4 +-
 .../documents/osconfig.v2beta.json            |   4 +-
 .../discovery_cache/documents/sheets.v4.json  |  52 +-
 .../discovery_cache/documents/slides.v1.json  |  70 +--
 .../documents/sqladmin.v1beta4.json           |   6 +-
 50 files changed, 1250 insertions(+), 1207 deletions(-)

diff --git a/docs/dyn/analyticsdata_v1beta.properties.html b/docs/dyn/analyticsdata_v1beta.properties.html
index 5229fe05cf..d0895b3dfb 100644
--- a/docs/dyn/analyticsdata_v1beta.properties.html
+++ b/docs/dyn/analyticsdata_v1beta.properties.html
@@ -157,7 +157,7 @@ 
Method Details

                   "int64Value": "A String", # Integer value
                 },
               },
-              "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+              "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
               },
               "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
               "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -214,7 +214,7 @@ 
Method Details

               "int64Value": "A String", # Integer value
             },
           },
-          "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+          "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
           },
           "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
           "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -280,7 +280,7 @@ 
Method Details

               "int64Value": "A String", # Integer value
             },
           },
-          "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+          "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
           },
           "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
           "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -541,7 +541,7 @@ 
Method Details

                   "int64Value": "A String", # Integer value
                 },
               },
-              "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+              "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
               },
               "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
               "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -598,7 +598,7 @@ 
Method Details

               "int64Value": "A String", # Integer value
             },
           },
-          "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+          "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
           },
           "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
           "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -668,7 +668,7 @@ 
Method Details

               "int64Value": "A String", # Integer value
             },
           },
-          "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+          "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
           },
           "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
           "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -908,7 +908,7 @@ 
Method Details

           "int64Value": "A String", # Integer value
         },
       },
-      "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+      "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
       },
       "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
       "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -973,7 +973,7 @@ 
Method Details

           "int64Value": "A String", # Integer value
         },
       },
-      "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+      "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
       },
       "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
       "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -1169,7 +1169,7 @@ 
Method Details

               "int64Value": "A String", # Integer value
             },
           },
-          "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+          "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
           },
           "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
           "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -1226,7 +1226,7 @@ 
Method Details

           "int64Value": "A String", # Integer value
         },
       },
-      "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+      "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
       },
       "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
       "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -1292,7 +1292,7 @@ 
Method Details

           "int64Value": "A String", # Integer value
         },
       },
-      "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+      "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
       },
       "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
       "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -1520,7 +1520,7 @@ 
Method Details

           "int64Value": "A String", # Integer value
         },
       },
-      "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+      "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
       },
       "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
       "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -1589,7 +1589,7 @@ 
Method Details

           "int64Value": "A String", # Integer value
         },
       },
-      "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+      "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
       },
       "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
       "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -1814,7 +1814,7 @@ 
Method Details

               "int64Value": "A String", # Integer value
             },
           },
-          "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+          "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
           },
           "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
           "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -1871,7 +1871,7 @@ 
Method Details

           "int64Value": "A String", # Integer value
         },
       },
-      "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+      "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
       },
       "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
       "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
@@ -1941,7 +1941,7 @@ 
Method Details

           "int64Value": "A String", # Integer value
         },
       },
-      "emptyFilter": { # Filter for empty values. # A filter for empty values such as "(not set)" and "" values.
+      "emptyFilter": { # Filter for empty values. Matches dimension values that are `""` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `""` and `(not set)` separately. # A filter for empty values such as `(not set)` and `""` values.
       },
       "fieldName": "A String", # The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.
       "inListFilter": { # The result needs to be in a list of string values. # A filter for in list values.
diff --git a/docs/dyn/androidmanagement_v1.enterprises.policies.html b/docs/dyn/androidmanagement_v1.enterprises.policies.html
index f5a315d039..fa7696d05a 100644
--- a/docs/dyn/androidmanagement_v1.enterprises.policies.html
+++ b/docs/dyn/androidmanagement_v1.enterprises.policies.html
@@ -407,7 +407,7 @@ 
Method Details

     "A String",
   ],
   "kioskCustomLauncherEnabled": True or False, # Whether the kiosk custom launcher is enabled. This replaces the home screen with a launcher that locks down the device to the apps installed via the applications setting. Apps appear on a single page in alphabetical order. Use kioskCustomization to further configure the kiosk device behavior.
-  "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK.
+  "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role.
     "deviceSettings": "A String", # Optional. Specifies whether the Settings app is allowed in kiosk mode.
     "powerButtonActions": "A String", # Optional. Sets the behavior of a device in kiosk mode when a user presses and holds (long-presses) the Power button.
     "statusBar": "A String", # Optional. Specifies whether system info and notifications are disabled in kiosk mode.
@@ -423,7 +423,7 @@ 
Method Details

   },
   "maximumTimeToLock": "A String", # Maximum time in milliseconds for user activity until the device locks. A value of 0 means there is no restriction.
   "microphoneAccess": "A String", # Controls the use of the microphone and whether the user has access to the microphone access toggle. This applies only on fully managed devices.
-  "minimumApiLevel": 42, # The minimum allowed Android API level.
+  "minimumApiLevel": 42, # The minimum allowed Android API level. A NonComplianceDetail with OS_NOT_PERMITTED is reported if the Android API level of the device is lower than this value.
   "mobileNetworksConfigDisabled": True or False, # Whether configuring mobile networks is disabled.
   "modifyAccountsDisabled": True or False, # Whether adding or removing accounts is disabled.
   "mountPhysicalMediaDisabled": True or False, # Whether the user mounting physical external media is disabled.
@@ -944,7 +944,7 @@ 
Method Details

         "A String",
       ],
       "kioskCustomLauncherEnabled": True or False, # Whether the kiosk custom launcher is enabled. This replaces the home screen with a launcher that locks down the device to the apps installed via the applications setting. Apps appear on a single page in alphabetical order. Use kioskCustomization to further configure the kiosk device behavior.
-      "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK.
+      "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role.
         "deviceSettings": "A String", # Optional. Specifies whether the Settings app is allowed in kiosk mode.
         "powerButtonActions": "A String", # Optional. Sets the behavior of a device in kiosk mode when a user presses and holds (long-presses) the Power button.
         "statusBar": "A String", # Optional. Specifies whether system info and notifications are disabled in kiosk mode.
@@ -960,7 +960,7 @@ 
Method Details

       },
       "maximumTimeToLock": "A String", # Maximum time in milliseconds for user activity until the device locks. A value of 0 means there is no restriction.
       "microphoneAccess": "A String", # Controls the use of the microphone and whether the user has access to the microphone access toggle. This applies only on fully managed devices.
-      "minimumApiLevel": 42, # The minimum allowed Android API level.
+      "minimumApiLevel": 42, # The minimum allowed Android API level. A NonComplianceDetail with OS_NOT_PERMITTED is reported if the Android API level of the device is lower than this value.
       "mobileNetworksConfigDisabled": True or False, # Whether configuring mobile networks is disabled.
       "modifyAccountsDisabled": True or False, # Whether adding or removing accounts is disabled.
       "mountPhysicalMediaDisabled": True or False, # Whether the user mounting physical external media is disabled.
@@ -1567,7 +1567,7 @@ 
Method Details

       "A String",
     ],
     "kioskCustomLauncherEnabled": True or False, # Whether the kiosk custom launcher is enabled. This replaces the home screen with a launcher that locks down the device to the apps installed via the applications setting. Apps appear on a single page in alphabetical order. Use kioskCustomization to further configure the kiosk device behavior.
-    "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK.
+    "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role.
       "deviceSettings": "A String", # Optional. Specifies whether the Settings app is allowed in kiosk mode.
       "powerButtonActions": "A String", # Optional. Sets the behavior of a device in kiosk mode when a user presses and holds (long-presses) the Power button.
       "statusBar": "A String", # Optional. Specifies whether system info and notifications are disabled in kiosk mode.
@@ -1583,7 +1583,7 @@ 
Method Details

     },
     "maximumTimeToLock": "A String", # Maximum time in milliseconds for user activity until the device locks. A value of 0 means there is no restriction.
     "microphoneAccess": "A String", # Controls the use of the microphone and whether the user has access to the microphone access toggle. This applies only on fully managed devices.
-    "minimumApiLevel": 42, # The minimum allowed Android API level.
+    "minimumApiLevel": 42, # The minimum allowed Android API level. A NonComplianceDetail with OS_NOT_PERMITTED is reported if the Android API level of the device is lower than this value.
     "mobileNetworksConfigDisabled": True or False, # Whether configuring mobile networks is disabled.
     "modifyAccountsDisabled": True or False, # Whether adding or removing accounts is disabled.
     "mountPhysicalMediaDisabled": True or False, # Whether the user mounting physical external media is disabled.
@@ -2095,7 +2095,7 @@ 
Method Details

     "A String",
   ],
   "kioskCustomLauncherEnabled": True or False, # Whether the kiosk custom launcher is enabled. This replaces the home screen with a launcher that locks down the device to the apps installed via the applications setting. Apps appear on a single page in alphabetical order. Use kioskCustomization to further configure the kiosk device behavior.
-  "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK.
+  "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role.
     "deviceSettings": "A String", # Optional. Specifies whether the Settings app is allowed in kiosk mode.
     "powerButtonActions": "A String", # Optional. Sets the behavior of a device in kiosk mode when a user presses and holds (long-presses) the Power button.
     "statusBar": "A String", # Optional. Specifies whether system info and notifications are disabled in kiosk mode.
@@ -2111,7 +2111,7 @@ 
Method Details

   },
   "maximumTimeToLock": "A String", # Maximum time in milliseconds for user activity until the device locks. A value of 0 means there is no restriction.
   "microphoneAccess": "A String", # Controls the use of the microphone and whether the user has access to the microphone access toggle. This applies only on fully managed devices.
-  "minimumApiLevel": 42, # The minimum allowed Android API level.
+  "minimumApiLevel": 42, # The minimum allowed Android API level. A NonComplianceDetail with OS_NOT_PERMITTED is reported if the Android API level of the device is lower than this value.
   "mobileNetworksConfigDisabled": True or False, # Whether configuring mobile networks is disabled.
   "modifyAccountsDisabled": True or False, # Whether adding or removing accounts is disabled.
   "mountPhysicalMediaDisabled": True or False, # Whether the user mounting physical external media is disabled.
@@ -2621,7 +2621,7 @@ 
Method Details

     "A String",
   ],
   "kioskCustomLauncherEnabled": True or False, # Whether the kiosk custom launcher is enabled. This replaces the home screen with a launcher that locks down the device to the apps installed via the applications setting. Apps appear on a single page in alphabetical order. Use kioskCustomization to further configure the kiosk device behavior.
-  "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK.
+  "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role.
     "deviceSettings": "A String", # Optional. Specifies whether the Settings app is allowed in kiosk mode.
     "powerButtonActions": "A String", # Optional. Sets the behavior of a device in kiosk mode when a user presses and holds (long-presses) the Power button.
     "statusBar": "A String", # Optional. Specifies whether system info and notifications are disabled in kiosk mode.
@@ -2637,7 +2637,7 @@ 
Method Details

   },
   "maximumTimeToLock": "A String", # Maximum time in milliseconds for user activity until the device locks. A value of 0 means there is no restriction.
   "microphoneAccess": "A String", # Controls the use of the microphone and whether the user has access to the microphone access toggle. This applies only on fully managed devices.
-  "minimumApiLevel": 42, # The minimum allowed Android API level.
+  "minimumApiLevel": 42, # The minimum allowed Android API level. A NonComplianceDetail with OS_NOT_PERMITTED is reported if the Android API level of the device is lower than this value.
   "mobileNetworksConfigDisabled": True or False, # Whether configuring mobile networks is disabled.
   "modifyAccountsDisabled": True or False, # Whether adding or removing accounts is disabled.
   "mountPhysicalMediaDisabled": True or False, # Whether the user mounting physical external media is disabled.
@@ -3163,7 +3163,7 @@ 
Method Details

       "A String",
     ],
     "kioskCustomLauncherEnabled": True or False, # Whether the kiosk custom launcher is enabled. This replaces the home screen with a launcher that locks down the device to the apps installed via the applications setting. Apps appear on a single page in alphabetical order. Use kioskCustomization to further configure the kiosk device behavior.
-    "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK.
+    "kioskCustomization": { # Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role. # Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role.
       "deviceSettings": "A String", # Optional. Specifies whether the Settings app is allowed in kiosk mode.
       "powerButtonActions": "A String", # Optional. Sets the behavior of a device in kiosk mode when a user presses and holds (long-presses) the Power button.
       "statusBar": "A String", # Optional. Specifies whether system info and notifications are disabled in kiosk mode.
@@ -3179,7 +3179,7 @@ 
Method Details

     },
     "maximumTimeToLock": "A String", # Maximum time in milliseconds for user activity until the device locks. A value of 0 means there is no restriction.
     "microphoneAccess": "A String", # Controls the use of the microphone and whether the user has access to the microphone access toggle. This applies only on fully managed devices.
-    "minimumApiLevel": 42, # The minimum allowed Android API level.
+    "minimumApiLevel": 42, # The minimum allowed Android API level. A NonComplianceDetail with OS_NOT_PERMITTED is reported if the Android API level of the device is lower than this value.
     "mobileNetworksConfigDisabled": True or False, # Whether configuring mobile networks is disabled.
     "modifyAccountsDisabled": True or False, # Whether adding or removing accounts is disabled.
     "mountPhysicalMediaDisabled": True or False, # Whether the user mounting physical external media is disabled.
diff --git a/docs/dyn/apigee_v1.organizations.html b/docs/dyn/apigee_v1.organizations.html
index d40800675e..176cd5d4dd 100644
--- a/docs/dyn/apigee_v1.organizations.html
+++ b/docs/dyn/apigee_v1.organizations.html
@@ -394,6 +394,7 @@ 
Method Details

     Allowed values
       DELETION_RETENTION_UNSPECIFIED - Default data retention setting of seven days will be applied.
       MINIMUM - Organization data will be retained for the minimum period of 24 hours.
+      NO_RETENTION - Does not retain organization data and permanently deletes the organization immediately. **Warning:** You will NOT be able to restore the Apigee organization when using this option.
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
diff --git a/docs/dyn/artifactregistry_v1.projects.locations.repositories.html b/docs/dyn/artifactregistry_v1.projects.locations.repositories.html
index 5a6d52186b..d3a51fb9e3 100644
--- a/docs/dyn/artifactregistry_v1.projects.locations.repositories.html
+++ b/docs/dyn/artifactregistry_v1.projects.locations.repositories.html
@@ -291,7 +291,7 @@ 
Method Details

   "remoteRepositoryConfig": { # Remote repository configuration. # Configuration specific for a Remote Repository.
     "aptRepository": { # Configuration for an Apt remote repository. # Specific settings for an Apt remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
       },
       "publicRepository": { # Publicly available Apt repositories constructed from a common repository base and a custom repository path. # One of the publicly available Apt repositories supported by Artifact Registry.
         "repositoryBase": "A String", # A common public repository base for Apt.
@@ -305,13 +305,13 @@ 
Method Details

     "disableUpstreamValidation": True or False, # Input only. A create/update remote repo option to avoid making a HEAD/GET request to validate a remote repo and any supplied upstream credentials.
     "dockerRepository": { # Configuration for a Docker remote repository. # Specific settings for a Docker remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
+        "uri": "A String", # An https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
       },
       "publicRepository": "A String", # One of the publicly available Docker repositories supported by Artifact Registry.
     },
     "mavenRepository": { # Configuration for a Maven remote repository. # Specific settings for a Maven remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Maven repositories supported by Artifact Registry.
     },
@@ -319,13 +319,13 @@ 
Method Details

     },
     "npmRepository": { # Configuration for a Npm remote repository. # Specific settings for an Npm remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Npm repositories supported by Artifact Registry.
     },
     "pythonRepository": { # Configuration for a Python remote repository. # Specific settings for a Python remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Python repositories supported by Artifact Registry.
     },
@@ -337,7 +337,7 @@ 
Method Details

     },
     "yumRepository": { # Configuration for a Yum remote repository. # Specific settings for a Yum remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
       },
       "publicRepository": { # Publicly available Yum repositories constructed from a common repository base and a custom repository path. # One of the publicly available Yum repositories supported by Artifact Registry.
         "repositoryBase": "A String", # A common public repository base for Yum.
@@ -542,7 +542,7 @@ 
Method Details

   "remoteRepositoryConfig": { # Remote repository configuration. # Configuration specific for a Remote Repository.
     "aptRepository": { # Configuration for an Apt remote repository. # Specific settings for an Apt remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
       },
       "publicRepository": { # Publicly available Apt repositories constructed from a common repository base and a custom repository path. # One of the publicly available Apt repositories supported by Artifact Registry.
         "repositoryBase": "A String", # A common public repository base for Apt.
@@ -556,13 +556,13 @@ 
Method Details

     "disableUpstreamValidation": True or False, # Input only. A create/update remote repo option to avoid making a HEAD/GET request to validate a remote repo and any supplied upstream credentials.
     "dockerRepository": { # Configuration for a Docker remote repository. # Specific settings for a Docker remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
+        "uri": "A String", # An https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
       },
       "publicRepository": "A String", # One of the publicly available Docker repositories supported by Artifact Registry.
     },
     "mavenRepository": { # Configuration for a Maven remote repository. # Specific settings for a Maven remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Maven repositories supported by Artifact Registry.
     },
@@ -570,13 +570,13 @@ 
Method Details

     },
     "npmRepository": { # Configuration for a Npm remote repository. # Specific settings for an Npm remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Npm repositories supported by Artifact Registry.
     },
     "pythonRepository": { # Configuration for a Python remote repository. # Specific settings for a Python remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Python repositories supported by Artifact Registry.
     },
@@ -588,7 +588,7 @@ 
Method Details

     },
     "yumRepository": { # Configuration for a Yum remote repository. # Specific settings for a Yum remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
       },
       "publicRepository": { # Publicly available Yum repositories constructed from a common repository base and a custom repository path. # One of the publicly available Yum repositories supported by Artifact Registry.
         "repositoryBase": "A String", # A common public repository base for Yum.
@@ -727,7 +727,7 @@ 
Method Details

       "remoteRepositoryConfig": { # Remote repository configuration. # Configuration specific for a Remote Repository.
         "aptRepository": { # Configuration for an Apt remote repository. # Specific settings for an Apt remote repository.
           "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-            "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
+            "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
           },
           "publicRepository": { # Publicly available Apt repositories constructed from a common repository base and a custom repository path. # One of the publicly available Apt repositories supported by Artifact Registry.
             "repositoryBase": "A String", # A common public repository base for Apt.
@@ -741,13 +741,13 @@ 
Method Details

         "disableUpstreamValidation": True or False, # Input only. A create/update remote repo option to avoid making a HEAD/GET request to validate a remote repo and any supplied upstream credentials.
         "dockerRepository": { # Configuration for a Docker remote repository. # Specific settings for a Docker remote repository.
           "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-            "uri": "A String", # An http/https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
+            "uri": "A String", # An https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
           },
           "publicRepository": "A String", # One of the publicly available Docker repositories supported by Artifact Registry.
         },
         "mavenRepository": { # Configuration for a Maven remote repository. # Specific settings for a Maven remote repository.
           "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-            "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
+            "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
           },
           "publicRepository": "A String", # One of the publicly available Maven repositories supported by Artifact Registry.
         },
@@ -755,13 +755,13 @@ 
Method Details

         },
         "npmRepository": { # Configuration for a Npm remote repository. # Specific settings for an Npm remote repository.
           "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-            "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
+            "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
           },
           "publicRepository": "A String", # One of the publicly available Npm repositories supported by Artifact Registry.
         },
         "pythonRepository": { # Configuration for a Python remote repository. # Specific settings for a Python remote repository.
           "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-            "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
+            "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
           },
           "publicRepository": "A String", # One of the publicly available Python repositories supported by Artifact Registry.
         },
@@ -773,7 +773,7 @@ 
Method Details

         },
         "yumRepository": { # Configuration for a Yum remote repository. # Specific settings for a Yum remote repository.
           "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-            "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
+            "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
           },
           "publicRepository": { # Publicly available Yum repositories constructed from a common repository base and a custom repository path. # One of the publicly available Yum repositories supported by Artifact Registry.
             "repositoryBase": "A String", # A common public repository base for Yum.
@@ -881,7 +881,7 @@ 
Method Details

   "remoteRepositoryConfig": { # Remote repository configuration. # Configuration specific for a Remote Repository.
     "aptRepository": { # Configuration for an Apt remote repository. # Specific settings for an Apt remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
       },
       "publicRepository": { # Publicly available Apt repositories constructed from a common repository base and a custom repository path. # One of the publicly available Apt repositories supported by Artifact Registry.
         "repositoryBase": "A String", # A common public repository base for Apt.
@@ -895,13 +895,13 @@ 
Method Details

     "disableUpstreamValidation": True or False, # Input only. A create/update remote repo option to avoid making a HEAD/GET request to validate a remote repo and any supplied upstream credentials.
     "dockerRepository": { # Configuration for a Docker remote repository. # Specific settings for a Docker remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
+        "uri": "A String", # An https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
       },
       "publicRepository": "A String", # One of the publicly available Docker repositories supported by Artifact Registry.
     },
     "mavenRepository": { # Configuration for a Maven remote repository. # Specific settings for a Maven remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Maven repositories supported by Artifact Registry.
     },
@@ -909,13 +909,13 @@ 
Method Details

     },
     "npmRepository": { # Configuration for a Npm remote repository. # Specific settings for an Npm remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Npm repositories supported by Artifact Registry.
     },
     "pythonRepository": { # Configuration for a Python remote repository. # Specific settings for a Python remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Python repositories supported by Artifact Registry.
     },
@@ -927,7 +927,7 @@ 
Method Details

     },
     "yumRepository": { # Configuration for a Yum remote repository. # Specific settings for a Yum remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
       },
       "publicRepository": { # Publicly available Yum repositories constructed from a common repository base and a custom repository path. # One of the publicly available Yum repositories supported by Artifact Registry.
         "repositoryBase": "A String", # A common public repository base for Yum.
@@ -1018,7 +1018,7 @@ 
Method Details

   "remoteRepositoryConfig": { # Remote repository configuration. # Configuration specific for a Remote Repository.
     "aptRepository": { # Configuration for an Apt remote repository. # Specific settings for an Apt remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.apt.registry/".
       },
       "publicRepository": { # Publicly available Apt repositories constructed from a common repository base and a custom repository path. # One of the publicly available Apt repositories supported by Artifact Registry.
         "repositoryBase": "A String", # A common public repository base for Apt.
@@ -1032,13 +1032,13 @@ 
Method Details

     "disableUpstreamValidation": True or False, # Input only. A create/update remote repo option to avoid making a HEAD/GET request to validate a remote repo and any supplied upstream credentials.
     "dockerRepository": { # Configuration for a Docker remote repository. # Specific settings for a Docker remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
+        "uri": "A String", # An https uri reference to the custom remote repository, for ex: "https://registry-1.docker.io".
       },
       "publicRepository": "A String", # One of the publicly available Docker repositories supported by Artifact Registry.
     },
     "mavenRepository": { # Configuration for a Maven remote repository. # Specific settings for a Maven remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.maven.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Maven repositories supported by Artifact Registry.
     },
@@ -1046,13 +1046,13 @@ 
Method Details

     },
     "npmRepository": { # Configuration for a Npm remote repository. # Specific settings for an Npm remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.npm.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Npm repositories supported by Artifact Registry.
     },
     "pythonRepository": { # Configuration for a Python remote repository. # Specific settings for a Python remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.python.registry/".
       },
       "publicRepository": "A String", # One of the publicly available Python repositories supported by Artifact Registry.
     },
@@ -1064,7 +1064,7 @@ 
Method Details

     },
     "yumRepository": { # Configuration for a Yum remote repository. # Specific settings for a Yum remote repository.
       "customRepository": { # Customer-specified publicly available remote repository. # Customer-specified remote repository.
-        "uri": "A String", # An http/https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
+        "uri": "A String", # An https uri reference to the upstream remote repository, for ex: "https://my.yum.registry/".
       },
       "publicRepository": { # Publicly available Yum repositories constructed from a common repository base and a custom repository path. # One of the publicly available Yum repositories supported by Artifact Registry.
         "repositoryBase": "A String", # A common public repository base for Yum.
diff --git a/docs/dyn/cloudlocationfinder_v1.projects.locations.cloudLocations.html b/docs/dyn/cloudlocationfinder_v1.projects.locations.cloudLocations.html
index dc245e347c..70428f3766 100644
--- a/docs/dyn/cloudlocationfinder_v1.projects.locations.cloudLocations.html
+++ b/docs/dyn/cloudlocationfinder_v1.projects.locations.cloudLocations.html
@@ -133,7 +133,7 @@ 
Method Details

 Args:
   parent: string, Required. The parent, which owns this collection of cloud locations. Format: projects/{project}/locations/{location} (required)
   filter: string, Optional. A filter expression that filters resources listed in the response. The expression is in the form of field=value. For example, 'cloud_location_type=CLOUD_LOCATION_TYPE_REGION'. Multiple filter queries are space-separated. For example, 'cloud_location_type=CLOUD_LOCATION_TYPE_REGION territory_code="US"' By default, each expression is an AND expression. However, you can include AND and OR expressions explicitly.
-  pageSize: integer, Optional. The maximum number of cloud locations to return per page. The service might return fewer cloud locations than this value. If unspecified, server will pick an appropriate default.
+  pageSize: integer, Optional. The maximum number of cloud locations to return per page. The service might return fewer cloud locations than this value. If unspecified, at most 500 cloud locations will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.
   pageToken: string, Optional. A token identifying a page of results the server should return. Provide page token returned by a previous 'ListCloudLocations' call to retrieve the next page of results. When paginating, all other parameters provided to 'ListCloudLocations' must match the call that provided the page token.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -182,7 +182,7 @@ 
Method Details

 
 Args:
   parent: string, Required. The parent, which owns this collection of cloud locations. Format: projects/{project}/locations/{location} (required)
-  pageSize: integer, Optional. The maximum number of cloud locations to return. The service might return fewer cloud locations than this value. If unspecified, server will pick an appropriate default.
+  pageSize: integer, Optional. The maximum number of cloud locations to return. The service might return fewer cloud locations than this value. If unspecified, at most 500 cloud locations will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.
   pageToken: string, Optional. A token identifying a page of results the server should return. Provide Page token returned by a previous 'ListCloudLocations' call to retrieve the next page of results. When paginating, all other parameters provided to 'ListCloudLocations' must match the call that provided the page token.
   query: string, Optional. The query string in search query syntax. While filter is used to filter the search results by attributes, query is used to specify the search requirements.
   sourceCloudLocation: string, Required. The source cloud location to search from. Example search can be searching nearby cloud locations from the source cloud location by latency.
diff --git a/docs/dyn/cloudlocationfinder_v1alpha.projects.locations.cloudLocations.html b/docs/dyn/cloudlocationfinder_v1alpha.projects.locations.cloudLocations.html
index 34ea380f75..2a103f87d2 100644
--- a/docs/dyn/cloudlocationfinder_v1alpha.projects.locations.cloudLocations.html
+++ b/docs/dyn/cloudlocationfinder_v1alpha.projects.locations.cloudLocations.html
@@ -133,7 +133,7 @@ 
Method Details

 Args:
   parent: string, Required. The parent, which owns this collection of cloud locations. Format: projects/{project}/locations/{location} (required)
   filter: string, Optional. A filter expression that filters resources listed in the response. The expression is in the form of field=value. For example, 'cloud_location_type=CLOUD_LOCATION_TYPE_REGION'. Multiple filter queries are space-separated. For example, 'cloud_location_type=CLOUD_LOCATION_TYPE_REGION territory_code="US"' By default, each expression is an AND expression. However, you can include AND and OR expressions explicitly.
-  pageSize: integer, Optional. The maximum number of cloud locations to return per page. The service might return fewer cloud locations than this value. If unspecified, server will pick an appropriate default.
+  pageSize: integer, Optional. The maximum number of cloud locations to return per page. The service might return fewer cloud locations than this value. If unspecified, at most 500 cloud locations will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.
   pageToken: string, Optional. A token identifying a page of results the server should return. Provide page token returned by a previous 'ListCloudLocations' call to retrieve the next page of results. When paginating, all other parameters provided to 'ListCloudLocations' must match the call that provided the page token.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -182,7 +182,7 @@ 
Method Details

 
 Args:
   parent: string, Required. The parent, which owns this collection of cloud locations. Format: projects/{project}/locations/{location} (required)
-  pageSize: integer, Optional. The maximum number of cloud locations to return. The service might return fewer cloud locations than this value. If unspecified, server will pick an appropriate default.
+  pageSize: integer, Optional. The maximum number of cloud locations to return. The service might return fewer cloud locations than this value. If unspecified, at most 500 cloud locations will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.
   pageToken: string, Optional. A token identifying a page of results the server should return. Provide Page token returned by a previous 'ListCloudLocations' call to retrieve the next page of results. When paginating, all other parameters provided to 'ListCloudLocations' must match the call that provided the page token.
   query: string, Optional. The query string in search query syntax. While filter is used to filter the search results by attributes, query is used to specify the search requirements.
   sourceCloudLocation: string, Required. The source cloud location to search from. Example search can be searching nearby cloud locations from the source cloud location by latency.
diff --git a/docs/dyn/docs_v1.documents.html b/docs/dyn/docs_v1.documents.html
index 962014abc8..9e1f8cb5f1 100644
--- a/docs/dyn/docs_v1.documents.html
+++ b/docs/dyn/docs_v1.documents.html
@@ -99,14 +99,14 @@ 
Method Details

 { # Request message for BatchUpdateDocument.
   "requests": [ # A list of updates to apply to the document.
     { # A single update to apply to a document.
-      "acceptSuggestion": { # Accepts a suggestion. Returns a 403 forbidden error if the requesting user does not have edit access to the document. [Developer Preview](https://developers.google.com/workspace/preview). # Accepts a suggestion. [Developer Preview](https://developers.google.com/workspace/preview).
+      "acceptSuggestion": { # Accepts a suggestion. Returns a 403 forbidden error if the requesting user does not have edit access to the document. # Accepts a suggestion.
         "suggestionId": "A String", # The ID of the suggestion.
       },
-      "addCommentReply": { # Inserts a reply Post into a CommentThread or SuggestionThread. [Developer Preview](https://developers.google.com/workspace/preview). # Adds a reply to a CommentThread or SuggestionThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "addCommentReply": { # Inserts a reply Post into a CommentThread or SuggestionThread. # Adds a reply to a CommentThread or SuggestionThread.
         "commentId": "A String", # The ID of the CommentThread to add the reply to.
-        "post": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The Post representing the reply.
+        "post": { # Represents a single post in a comment or suggestion thread. # The Post representing the reply.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -311,10 +311,10 @@ 
Method Details

           "tabId": "A String", # The tab that contains this range. When omitted, the request applies to the first tab. In a document containing a single tab: - If provided, must match the singular tab's ID. - If omitted, the request applies to the singular tab. In a document containing multiple tabs: - If provided, the request applies to the specified tab. - If omitted, the request applies to the first tab in the document.
         },
       },
-      "deleteComment": { # Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. [Developer Preview](https://developers.google.com/workspace/preview). # Deletes a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "deleteComment": { # Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. # Deletes a CommentThread.
         "commentId": "A String", # The ID of the CommentThread that is being deleted.
       },
-      "deleteCommentReply": { # Deletes a reply Post from a CommentThread or SuggestionThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains an action. - The reply post contains an assignee. [Developer Preview](https://developers.google.com/workspace/preview). # Deletes a reply Post from a CommentThread or SuggestionThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "deleteCommentReply": { # Deletes a reply Post from a CommentThread or SuggestionThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains an action. - The reply post contains an assignee. # Deletes a reply Post from a CommentThread or SuggestionThread.
         "commentId": "A String", # The ID of the CommentThread which the post belongs to.
         "postId": "A String", # The ID of the reply Post being deleted.
         "suggestionId": "A String", # The ID of the SuggestionThread which the post belongs to.
@@ -360,7 +360,7 @@ 
Method Details

         "objectId": "A String", # The ID of the positioned object to delete.
         "tabId": "A String", # The tab that the positioned object to delete is in. When omitted, the request is applied to the first tab. In a document containing a single tab: - If provided, must match the singular tab's ID. - If omitted, the request applies to the singular tab. In a document containing multiple tabs: - If provided, the request applies to the specified tab. - If omitted, the request applies to the first tab in the document.
       },
-      "deleteSuggestion": { # Deletes a suggestion. Returns a 403 forbidden error if the requesting user is not the author of the suggestion. [Developer Preview](https://developers.google.com/workspace/preview). # Deletes a suggestion. [Developer Preview](https://developers.google.com/workspace/preview).
+      "deleteSuggestion": { # Deletes a suggestion. Returns a 403 forbidden error if the requesting user is not the author of the suggestion. # Deletes a suggestion.
         "suggestionId": "A String", # The ID of the suggestion.
       },
       "deleteTab": { # Deletes a tab. If the tab has child tabs, they are deleted as well. # Deletes a document tab.
@@ -388,7 +388,7 @@ 
Method Details

           },
         },
       },
-      "insertComment": { # Inserts a CommentThread into the document. [Developer Preview](https://developers.google.com/workspace/preview). # Inserts a CommentThread into the document. [Developer Preview](https://developers.google.com/workspace/preview).
+      "insertComment": { # Inserts a CommentThread into the document. # Inserts a CommentThread into the document.
         "assigneeEmailAddress": "A String", # Optional. The email address of the assignee of the comment. Leave empty for a non-assigned comment. May not exceed 2048 UTF-8 code units.
         "content": "A String", # The text of the comment, as plain text. This text content will be handled similarly to comments created in the Docs editor. It will have similar behaviors for formatting, notifications, etc. This field cannot be empty, and must not exceed 2048 UTF-8 code units.
         "range": { # Specifies a contiguous range of text. # The Range in the document that is tied to this comment.
@@ -578,7 +578,7 @@ 
Method Details

           "tabId": "A String", # The tab that the location is in. When omitted, the request is applied to the first tab. In a document containing a single tab: - If provided, must match the singular tab's ID. - If omitted, the request applies to the singular tab. In a document containing multiple tabs: - If provided, the request applies to the specified tab. - If omitted, the request applies to the first tab in the document.
         },
       },
-      "rejectSuggestion": { # Rejects a suggestion. Returns a 403 forbidden error if the requesting user does not have edit access to the document and is not the author of the suggestion. [Developer Preview](https://developers.google.com/workspace/preview). # Rejects a suggestion. [Developer Preview](https://developers.google.com/workspace/preview).
+      "rejectSuggestion": { # Rejects a suggestion. Returns a 403 forbidden error if the requesting user does not have edit access to the document and is not the author of the suggestion. # Rejects a suggestion.
         "suggestionId": "A String", # The ID of the suggestion.
       },
       "replaceAllText": { # Replaces all instances of text matching a criteria with replace text. # Replaces all instances of the specified text.
@@ -625,7 +625,7 @@ 
Method Details

           },
         },
       },
-      "updateCommentPost": { # Updates a Post in a CommentThread or SuggestionThread. Returns a 400 bad request error if: - The post is the headPost of a SuggestionThread. - The requesting user is not the author of the post. [Developer Preview](https://developers.google.com/workspace/preview). # Updates an existing post (head post or reply) of a CommentThread or SuggestionThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "updateCommentPost": { # Updates a Post in a CommentThread or SuggestionThread. Returns a 400 bad request error if: - The post is the headPost of a SuggestionThread. - The requesting user is not the author of the post. # Updates an existing post (head post or reply) of a CommentThread or SuggestionThread.
         "commentId": "A String", # The ID of the CommentThread which the post belongs to.
         "content": "A String", # The new text of the comment, as plain text. This text content will be handled similarly to comments created in the Docs editor. It will have similar behaviors for formatting, notifications, etc. This field cannot be empty, and must not exceed 2048 UTF-8 code units.
         "postId": "A String", # The ID of the post being updated.
@@ -1423,7 +1423,7 @@ 
Method Details

   "writeControl": { # Provides control over how write requests are executed. # Provides control over how write requests are executed.
     "requiredRevisionId": "A String", # The optional revision ID of the document the write request is applied to. If this is not the latest revision of the document, the request is not processed and returns a 400 bad request error. When a required revision ID is returned in a response, it indicates the revision ID of the document after the request was applied.
     "targetRevisionId": "A String", # The optional target revision ID of the document the write request is applied to. If collaborator changes have occurred after the document was read using the API, the changes produced by this write request are applied against the collaborator changes. This results in a new revision of the document that incorporates both the collaborator changes and the changes in the request, with the Docs server resolving conflicting changes. When using target revision ID, the API client can be thought of as another collaborator of the document. The target revision ID can only be used to write to recent versions of a document. If the target revision is too far behind the latest revision, the request is not processed and returns a 400 bad request error. The request should be tried again after retrieving the latest version of the document. Usually a revision ID remains valid for use as a target revision for several minutes after it's read, but for frequently edited documents this window might be shorter.
-    "writeMode": "A String", # How the request updates should be applied to the document. If unspecified, the request updates will be applied as normal edits. [Developer Preview](https://developers.google.com/workspace/preview).
+    "writeMode": "A String", # How the request updates should be applied to the document. If unspecified, the request updates will be applied as normal edits.
   },
 }
 
@@ -1436,14 +1436,14 @@ 
Method Details

   An object of the form:
 
     { # Response message from a BatchUpdateDocument request.
-  "commentUpdateState": "A String", # Whether comment updates were applied in the batch request. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentUpdateState": "A String", # Whether comment updates were applied in the batch request.
   "documentId": "A String", # The ID of the document to which the updates were applied to.
   "replies": [ # The reply of the updates. This maps 1:1 with the updates, although replies to some requests may be empty.
     { # A single response from an update.
-      "addCommentReply": { # Response message for adding a reply. [Developer Preview](https://developers.google.com/workspace/preview). # The result of adding a reply to a comment or suggestion. [Developer Preview](https://developers.google.com/workspace/preview).
-        "post": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The newly-inserted reply Post.
+      "addCommentReply": { # Response message for adding a reply. # The result of adding a reply to a comment or suggestion.
+        "post": { # Represents a single post in a comment or suggestion thread. # The newly-inserted reply Post.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -1613,13 +1613,13 @@ 
Method Details

       "createNamedRange": { # The result of creating a named range. # The result of creating a named range.
         "namedRangeId": "A String", # The ID of the created named range.
       },
-      "insertComment": { # Response message for inserting a comment. [Developer Preview](https://developers.google.com/workspace/preview). # The result of inserting a comment. [Developer Preview](https://developers.google.com/workspace/preview).
-        "commentThread": { # Represents a single comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The newly-inserted comment thread.
+      "insertComment": { # Response message for inserting a comment. # The result of inserting a comment.
+        "commentThread": { # Represents a single comment thread. # The newly-inserted comment thread.
           "anchorId": "A String", # The ID of the CommentAnchor in the document that this thread is tied to. Multiple comment threads may be anchored to the same CommentAnchor.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment or suggestion thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -1639,9 +1639,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the document when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment or suggestion thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -1815,8 +1815,8 @@ 
Method Details

       },
     },
   ],
-  "suggestionResponses": [ # The suggestions which were affected by each update. This maps 1:1 with the updates. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # The suggestions which were affected by a given update. [Developer Preview](https://developers.google.com/workspace/preview).
+  "suggestionResponses": [ # The suggestions which were affected by each update. This maps 1:1 with the updates.
+    { # The suggestions which were affected by a given update.
       "acceptedSuggestionIds": [ # The IDs of suggestions which were accepted during the update.
         "A String",
       ],
@@ -1837,7 +1837,7 @@ 
Method Details

   "writeControl": { # Provides control over how write requests are executed. # The updated write control after applying the request.
     "requiredRevisionId": "A String", # The optional revision ID of the document the write request is applied to. If this is not the latest revision of the document, the request is not processed and returns a 400 bad request error. When a required revision ID is returned in a response, it indicates the revision ID of the document after the request was applied.
     "targetRevisionId": "A String", # The optional target revision ID of the document the write request is applied to. If collaborator changes have occurred after the document was read using the API, the changes produced by this write request are applied against the collaborator changes. This results in a new revision of the document that incorporates both the collaborator changes and the changes in the request, with the Docs server resolving conflicting changes. When using target revision ID, the API client can be thought of as another collaborator of the document. The target revision ID can only be used to write to recent versions of a document. If the target revision is too far behind the latest revision, the request is not processed and returns a 400 bad request error. The request should be tried again after retrieving the latest version of the document. Usually a revision ID remains valid for use as a target revision for several minutes after it's read, but for frequently edited documents this window might be shorter.
-    "writeMode": "A String", # How the request updates should be applied to the document. If unspecified, the request updates will be applied as normal edits. [Developer Preview](https://developers.google.com/workspace/preview).
+    "writeMode": "A String", # How the request updates should be applied to the document. If unspecified, the request updates will be applied as normal edits.
   },
 }
@@ -4087,13 +4087,13 @@

Method Details

}, ], }, - "comments": [ # Output only. The comments associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - { # Represents a single comment thread. [Developer Preview](https://developers.google.com/workspace/preview). + "comments": [ # Output only. The comments associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + { # Represents a single comment thread. "anchorId": "A String", # The ID of the CommentAnchor in the document that this thread is tied to. Multiple comment threads may be anchored to the same CommentAnchor. "commentId": "A String", # The unique ID of the comment thread. - "headPost": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread. + "headPost": { # Represents a single post in a comment or suggestion thread. # The first post in the thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -4113,9 +4113,9 @@

Method Details

}, "plainTextQuote": "A String", # The quoted text from the document when the comment was created, formatted as plain-text. "replies": [ # Replies to the head post. - { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). + { # Represents a single post in a comment or suggestion thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -4137,7 +4137,7 @@

Method Details

"status": "A String", # Whether the thread is open or resolved. }, ], - "commentsViewMode": "A String", # Output only. The comments view mode applied to the document. [Developer Preview](https://developers.google.com/workspace/preview). + "commentsViewMode": "A String", # Output only. The comments view mode applied to the document. "documentId": "A String", # Output only. The ID of the document. "documentStyle": { # The style of the document. # Output only. The style of the document. Legacy field: Instead, use Document.tabs.documentTab.documentStyle, which exposes the actual document content from all tabs when the includeTabsContent parameter is set to `true`. If `false` or unset, this field contains information about the first tab in the document. "background": { # Represents the background of a document. # The background of the document. Documents cannot have a transparent background color. @@ -12075,11 +12075,11 @@

Method Details

}, }, }, - "suggestions": [ # Output only. The suggestions associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - { # Represents a single suggestion thread. Suggestion threads are created as a byproduct of saving changes to the document while in suggestion mode, and cannot be created directly. [Developer Preview](https://developers.google.com/workspace/preview). - "headPost": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread. + "suggestions": [ # Output only. The suggestions associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + { # Represents a single suggestion thread. Suggestion threads are created as a byproduct of saving changes to the document while in suggestion mode, and cannot be created directly. + "headPost": { # Represents a single post in a comment or suggestion thread. # The first post in the thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -12098,9 +12098,9 @@

Method Details

"updateTime": "A String", # Output only. The time the post was last updated. }, "replies": [ # Replies to the head post. - { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). + { # Represents a single post in a comment or suggestion thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -14363,8 +14363,8 @@

Method Details

}, ], }, - "commentAnchors": { # The comment anchors in a document tab, keyed by anchor ID. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - "a_key": { # One or more locations in the document that are tied to CommentThreads with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview). + "commentAnchors": { # The comment anchors in a document tab, keyed by anchor ID. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + "a_key": { # One or more locations in the document that are tied to CommentThreads with the same anchorId. Note: Multiple anchors may refer to the same location. "anchorId": "A String", # The ID of the comment anchor. "ranges": [ # A collection of Ranges in the document which are tied to this anchor. { # Specifies a contiguous range of text. @@ -24694,13 +24694,13 @@

Method Details

}, ], }, - "comments": [ # Output only. The comments associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - { # Represents a single comment thread. [Developer Preview](https://developers.google.com/workspace/preview). + "comments": [ # Output only. The comments associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + { # Represents a single comment thread. "anchorId": "A String", # The ID of the CommentAnchor in the document that this thread is tied to. Multiple comment threads may be anchored to the same CommentAnchor. "commentId": "A String", # The unique ID of the comment thread. - "headPost": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread. + "headPost": { # Represents a single post in a comment or suggestion thread. # The first post in the thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -24720,9 +24720,9 @@

Method Details

}, "plainTextQuote": "A String", # The quoted text from the document when the comment was created, formatted as plain-text. "replies": [ # Replies to the head post. - { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). + { # Represents a single post in a comment or suggestion thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -24744,7 +24744,7 @@

Method Details

"status": "A String", # Whether the thread is open or resolved. }, ], - "commentsViewMode": "A String", # Output only. The comments view mode applied to the document. [Developer Preview](https://developers.google.com/workspace/preview). + "commentsViewMode": "A String", # Output only. The comments view mode applied to the document. "documentId": "A String", # Output only. The ID of the document. "documentStyle": { # The style of the document. # Output only. The style of the document. Legacy field: Instead, use Document.tabs.documentTab.documentStyle, which exposes the actual document content from all tabs when the includeTabsContent parameter is set to `true`. If `false` or unset, this field contains information about the first tab in the document. "background": { # Represents the background of a document. # The background of the document. Documents cannot have a transparent background color. @@ -32682,11 +32682,11 @@

Method Details

}, }, }, - "suggestions": [ # Output only. The suggestions associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - { # Represents a single suggestion thread. Suggestion threads are created as a byproduct of saving changes to the document while in suggestion mode, and cannot be created directly. [Developer Preview](https://developers.google.com/workspace/preview). - "headPost": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread. + "suggestions": [ # Output only. The suggestions associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + { # Represents a single suggestion thread. Suggestion threads are created as a byproduct of saving changes to the document while in suggestion mode, and cannot be created directly. + "headPost": { # Represents a single post in a comment or suggestion thread. # The first post in the thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -32705,9 +32705,9 @@

Method Details

"updateTime": "A String", # Output only. The time the post was last updated. }, "replies": [ # Replies to the head post. - { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). + { # Represents a single post in a comment or suggestion thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -34970,8 +34970,8 @@

Method Details

}, ], }, - "commentAnchors": { # The comment anchors in a document tab, keyed by anchor ID. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - "a_key": { # One or more locations in the document that are tied to CommentThreads with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview). + "commentAnchors": { # The comment anchors in a document tab, keyed by anchor ID. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + "a_key": { # One or more locations in the document that are tied to CommentThreads with the same anchorId. Note: Multiple anchors may refer to the same location. "anchorId": "A String", # The ID of the comment anchor. "ranges": [ # A collection of Ranges in the document which are tied to this anchor. { # Specifies a contiguous range of text. @@ -43068,7 +43068,7 @@

Method Details

Args: documentId: string, The ID of the document to retrieve. (required) - commentsViewMode: string, The comments view mode to apply to the document. This allows viewing the document with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. If you set comments_view_mode to any value, you must also set include_tabs_content to `true` or use a field mask that references the Document.tabs field (or any subfield). If you set comments_view_mode to COMMENTS_VIEW_MODE_INCLUDED, you must also explicitly set suggestions_view_mode to SUGGESTIONS_INLINE. If you set comments_view_mode to COMMENTS_VIEW_MODE_INCLUDED or COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS, you may not set suggestions_view_mode to PREVIEW_WITHOUT_SUGGESTIONS or PREVIEW_SUGGESTIONS_ACCEPTED. [Developer Preview](https://developers.google.com/workspace/preview). + commentsViewMode: string, The comments view mode to apply to the document. This allows viewing the document with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. If you set comments_view_mode to any value, you must also set include_tabs_content to `true` or use a field mask that references the Document.tabs field (or any subfield). If you set comments_view_mode to COMMENTS_VIEW_MODE_INCLUDED, you must also explicitly set suggestions_view_mode to SUGGESTIONS_INLINE. If you set comments_view_mode to COMMENTS_VIEW_MODE_INCLUDED or COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS, you may not set suggestions_view_mode to PREVIEW_WITHOUT_SUGGESTIONS or PREVIEW_SUGGESTIONS_ACCEPTED. Allowed values COMMENTS_VIEW_MODE_UNSPECIFIED - The CommentsViewMode is unspecified. COMMENTS_VIEW_MODE_OMITTED is applied. COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS - The CommentsViewMode applied to the returned document depends on the user's current access level. If the user only has view access, COMMENTS_VIEW_MODE_OMITTED is applied. Otherwise, COMMENTS_VIEW_MODE_INCLUDED is applied. @@ -45321,13 +45321,13 @@

Method Details

}, ], }, - "comments": [ # Output only. The comments associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - { # Represents a single comment thread. [Developer Preview](https://developers.google.com/workspace/preview). + "comments": [ # Output only. The comments associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + { # Represents a single comment thread. "anchorId": "A String", # The ID of the CommentAnchor in the document that this thread is tied to. Multiple comment threads may be anchored to the same CommentAnchor. "commentId": "A String", # The unique ID of the comment thread. - "headPost": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread. + "headPost": { # Represents a single post in a comment or suggestion thread. # The first post in the thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -45347,9 +45347,9 @@

Method Details

}, "plainTextQuote": "A String", # The quoted text from the document when the comment was created, formatted as plain-text. "replies": [ # Replies to the head post. - { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). + { # Represents a single post in a comment or suggestion thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -45371,7 +45371,7 @@

Method Details

"status": "A String", # Whether the thread is open or resolved. }, ], - "commentsViewMode": "A String", # Output only. The comments view mode applied to the document. [Developer Preview](https://developers.google.com/workspace/preview). + "commentsViewMode": "A String", # Output only. The comments view mode applied to the document. "documentId": "A String", # Output only. The ID of the document. "documentStyle": { # The style of the document. # Output only. The style of the document. Legacy field: Instead, use Document.tabs.documentTab.documentStyle, which exposes the actual document content from all tabs when the includeTabsContent parameter is set to `true`. If `false` or unset, this field contains information about the first tab in the document. "background": { # Represents the background of a document. # The background of the document. Documents cannot have a transparent background color. @@ -53309,11 +53309,11 @@

Method Details

}, }, }, - "suggestions": [ # Output only. The suggestions associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - { # Represents a single suggestion thread. Suggestion threads are created as a byproduct of saving changes to the document while in suggestion mode, and cannot be created directly. [Developer Preview](https://developers.google.com/workspace/preview). - "headPost": { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread. + "suggestions": [ # Output only. The suggestions associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + { # Represents a single suggestion thread. Suggestion threads are created as a byproduct of saving changes to the document while in suggestion mode, and cannot be created directly. + "headPost": { # Represents a single post in a comment or suggestion thread. # The first post in the thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -53332,9 +53332,9 @@

Method Details

"updateTime": "A String", # Output only. The time the post was last updated. }, "replies": [ # Replies to the head post. - { # Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview). + { # Represents a single post in a comment or suggestion thread. "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - The parent thread is a SuggestionThread. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assigneeEmail` exceeds 2048 UTF-8 code units. - "author": { # Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post. + "author": { # Represents a user who authored a comment or suggestion post. # Output only. The user who created the post. "anonymous": True or False, # Whether the user is anonymous. "displayName": "A String", # The display name of the user. May be absent if the author is anonymous. "me": True or False, # Whether the user is the authenticated user making the request. @@ -55597,8 +55597,8 @@

Method Details

}, ], }, - "commentAnchors": { # The comment anchors in a document tab, keyed by anchor ID. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview). - "a_key": { # One or more locations in the document that are tied to CommentThreads with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview). + "commentAnchors": { # The comment anchors in a document tab, keyed by anchor ID. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). + "a_key": { # One or more locations in the document that are tied to CommentThreads with the same anchorId. Note: Multiple anchors may refer to the same location. "anchorId": "A String", # The ID of the comment anchor. "ranges": [ # A collection of Ranges in the document which are tied to this anchor. { # Specifies a contiguous range of text. diff --git a/docs/dyn/eventarc_v1.projects.locations.triggers.html b/docs/dyn/eventarc_v1.projects.locations.triggers.html index d562afd425..2569ad6360 100644 --- a/docs/dyn/eventarc_v1.projects.locations.triggers.html +++ b/docs/dyn/eventarc_v1.projects.locations.triggers.html @@ -152,7 +152,7 @@

Method Details

}, "etag": "A String", # Output only. This checksum is computed by the server based on the value of other fields, and might be sent only on create requests to ensure that the client has an up-to-date value before proceeding. "eventDataContentType": "A String", # Optional. EventDataContentType specifies the type of payload in MIME format that is expected from the CloudEvent data field. This is set to `application/json` if the value is not defined. - "eventFilters": [ # Required. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination. + "eventFilters": [ # Optional. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination. { # Filters events based on exact matches on the CloudEvents attributes. "attribute": "A String", # Required. The name of a CloudEvents attribute. Currently, only a subset of attributes are supported for filtering. You can [retrieve a specific provider's supported event types](/eventarc/docs/list-providers#describe-provider). All triggers MUST provide a filter for the 'type' attribute. "operator": "A String", # Optional. The operator used for matching the events with the value of the filter. If not specified, only events that have an exact key-value pair specified in the filter are matched. The allowed values are `path_pattern` and `match-path-pattern`. `path_pattern` is only allowed for GCFv1 triggers. @@ -294,7 +294,7 @@

Method Details

}, "etag": "A String", # Output only. This checksum is computed by the server based on the value of other fields, and might be sent only on create requests to ensure that the client has an up-to-date value before proceeding. "eventDataContentType": "A String", # Optional. EventDataContentType specifies the type of payload in MIME format that is expected from the CloudEvent data field. This is set to `application/json` if the value is not defined. - "eventFilters": [ # Required. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination. + "eventFilters": [ # Optional. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination. { # Filters events based on exact matches on the CloudEvents attributes. "attribute": "A String", # Required. The name of a CloudEvents attribute. Currently, only a subset of attributes are supported for filtering. You can [retrieve a specific provider's supported event types](/eventarc/docs/list-providers#describe-provider). All triggers MUST provide a filter for the 'type' attribute. "operator": "A String", # Optional. The operator used for matching the events with the value of the filter. If not specified, only events that have an exact key-value pair specified in the filter are matched. The allowed values are `path_pattern` and `match-path-pattern`. `path_pattern` is only allowed for GCFv1 triggers. @@ -423,7 +423,7 @@

Method Details

}, "etag": "A String", # Output only. This checksum is computed by the server based on the value of other fields, and might be sent only on create requests to ensure that the client has an up-to-date value before proceeding. "eventDataContentType": "A String", # Optional. EventDataContentType specifies the type of payload in MIME format that is expected from the CloudEvent data field. This is set to `application/json` if the value is not defined. - "eventFilters": [ # Required. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination. + "eventFilters": [ # Optional. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination. { # Filters events based on exact matches on the CloudEvents attributes. "attribute": "A String", # Required. The name of a CloudEvents attribute. Currently, only a subset of attributes are supported for filtering. You can [retrieve a specific provider's supported event types](/eventarc/docs/list-providers#describe-provider). All triggers MUST provide a filter for the 'type' attribute. "operator": "A String", # Optional. The operator used for matching the events with the value of the filter. If not specified, only events that have an exact key-value pair specified in the filter are matched. The allowed values are `path_pattern` and `match-path-pattern`. `path_pattern` is only allowed for GCFv1 triggers. @@ -511,7 +511,7 @@

Method Details

}, "etag": "A String", # Output only. This checksum is computed by the server based on the value of other fields, and might be sent only on create requests to ensure that the client has an up-to-date value before proceeding. "eventDataContentType": "A String", # Optional. EventDataContentType specifies the type of payload in MIME format that is expected from the CloudEvent data field. This is set to `application/json` if the value is not defined. - "eventFilters": [ # Required. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination. + "eventFilters": [ # Optional. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination. { # Filters events based on exact matches on the CloudEvents attributes. "attribute": "A String", # Required. The name of a CloudEvents attribute. Currently, only a subset of attributes are supported for filtering. You can [retrieve a specific provider's supported event types](/eventarc/docs/list-providers#describe-provider). All triggers MUST provide a filter for the 'type' attribute. "operator": "A String", # Optional. The operator used for matching the events with the value of the filter. If not specified, only events that have an exact key-value pair specified in the filter are matched. The allowed values are `path_pattern` and `match-path-pattern`. `path_pattern` is only allowed for GCFv1 triggers. diff --git a/docs/dyn/gmail_v1.users.settings.cse.keypairs.html b/docs/dyn/gmail_v1.users.settings.cse.keypairs.html index f5a2c61fd2..619f6b95db 100644 --- a/docs/dyn/gmail_v1.users.settings.cse.keypairs.html +++ b/docs/dyn/gmail_v1.users.settings.cse.keypairs.html @@ -124,9 +124,9 @@

Method Details

"hardwareKeyMetadata": { # Metadata for hardware keys. If [hardware key encryption](https://support.google.com/a/answer/14153163) is set up for the Google Workspace organization, users can optionally store their private key on their smart card and use it to sign and decrypt email messages in Gmail by inserting their smart card into a reader attached to their Windows device. # Metadata for hardware keys. "description": "A String", # Description about the hardware key. }, - "kaclsKeyMetadata": { # Metadata for private keys managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. - "kaclsData": "A String", # Opaque data generated and used by the key access control list service. Maximum size: 8 KiB. - "kaclsUri": "A String", # The URI of the key access control list service that manages the private key. + "kaclsKeyMetadata": { # Metadata for a cryptographic key managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. The maximum size of the KACLS data field is 8 KiB. + "kaclsData": "A String", # Opaque data generated and used by the key access control list service. + "kaclsUri": "A String", # The URI of the key access control list service that manages the key. }, "privateKeyMetadataId": "A String", # Output only. The immutable ID for the private key metadata instance. }, @@ -159,9 +159,9 @@

Method Details

"hardwareKeyMetadata": { # Metadata for hardware keys. If [hardware key encryption](https://support.google.com/a/answer/14153163) is set up for the Google Workspace organization, users can optionally store their private key on their smart card and use it to sign and decrypt email messages in Gmail by inserting their smart card into a reader attached to their Windows device. # Metadata for hardware keys. "description": "A String", # Description about the hardware key. }, - "kaclsKeyMetadata": { # Metadata for private keys managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. - "kaclsData": "A String", # Opaque data generated and used by the key access control list service. Maximum size: 8 KiB. - "kaclsUri": "A String", # The URI of the key access control list service that manages the private key. + "kaclsKeyMetadata": { # Metadata for a cryptographic key managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. The maximum size of the KACLS data field is 8 KiB. + "kaclsData": "A String", # Opaque data generated and used by the key access control list service. + "kaclsUri": "A String", # The URI of the key access control list service that manages the key. }, "privateKeyMetadataId": "A String", # Output only. The immutable ID for the private key metadata instance. }, @@ -204,9 +204,9 @@

Method Details

"hardwareKeyMetadata": { # Metadata for hardware keys. If [hardware key encryption](https://support.google.com/a/answer/14153163) is set up for the Google Workspace organization, users can optionally store their private key on their smart card and use it to sign and decrypt email messages in Gmail by inserting their smart card into a reader attached to their Windows device. # Metadata for hardware keys. "description": "A String", # Description about the hardware key. }, - "kaclsKeyMetadata": { # Metadata for private keys managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. - "kaclsData": "A String", # Opaque data generated and used by the key access control list service. Maximum size: 8 KiB. - "kaclsUri": "A String", # The URI of the key access control list service that manages the private key. + "kaclsKeyMetadata": { # Metadata for a cryptographic key managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. The maximum size of the KACLS data field is 8 KiB. + "kaclsData": "A String", # Opaque data generated and used by the key access control list service. + "kaclsUri": "A String", # The URI of the key access control list service that manages the key. }, "privateKeyMetadataId": "A String", # Output only. The immutable ID for the private key metadata instance. }, @@ -249,9 +249,9 @@

Method Details

"hardwareKeyMetadata": { # Metadata for hardware keys. If [hardware key encryption](https://support.google.com/a/answer/14153163) is set up for the Google Workspace organization, users can optionally store their private key on their smart card and use it to sign and decrypt email messages in Gmail by inserting their smart card into a reader attached to their Windows device. # Metadata for hardware keys. "description": "A String", # Description about the hardware key. }, - "kaclsKeyMetadata": { # Metadata for private keys managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. - "kaclsData": "A String", # Opaque data generated and used by the key access control list service. Maximum size: 8 KiB. - "kaclsUri": "A String", # The URI of the key access control list service that manages the private key. + "kaclsKeyMetadata": { # Metadata for a cryptographic key managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. The maximum size of the KACLS data field is 8 KiB. + "kaclsData": "A String", # Opaque data generated and used by the key access control list service. + "kaclsUri": "A String", # The URI of the key access control list service that manages the key. }, "privateKeyMetadataId": "A String", # Output only. The immutable ID for the private key metadata instance. }, @@ -288,9 +288,9 @@

Method Details

"hardwareKeyMetadata": { # Metadata for hardware keys. If [hardware key encryption](https://support.google.com/a/answer/14153163) is set up for the Google Workspace organization, users can optionally store their private key on their smart card and use it to sign and decrypt email messages in Gmail by inserting their smart card into a reader attached to their Windows device. # Metadata for hardware keys. "description": "A String", # Description about the hardware key. }, - "kaclsKeyMetadata": { # Metadata for private keys managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. - "kaclsData": "A String", # Opaque data generated and used by the key access control list service. Maximum size: 8 KiB. - "kaclsUri": "A String", # The URI of the key access control list service that manages the private key. + "kaclsKeyMetadata": { # Metadata for a cryptographic key managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. The maximum size of the KACLS data field is 8 KiB. + "kaclsData": "A String", # Opaque data generated and used by the key access control list service. + "kaclsUri": "A String", # The URI of the key access control list service that manages the key. }, "privateKeyMetadataId": "A String", # Output only. The immutable ID for the private key metadata instance. }, @@ -330,9 +330,9 @@

Method Details

"hardwareKeyMetadata": { # Metadata for hardware keys. If [hardware key encryption](https://support.google.com/a/answer/14153163) is set up for the Google Workspace organization, users can optionally store their private key on their smart card and use it to sign and decrypt email messages in Gmail by inserting their smart card into a reader attached to their Windows device. # Metadata for hardware keys. "description": "A String", # Description about the hardware key. }, - "kaclsKeyMetadata": { # Metadata for private keys managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. - "kaclsData": "A String", # Opaque data generated and used by the key access control list service. Maximum size: 8 KiB. - "kaclsUri": "A String", # The URI of the key access control list service that manages the private key. + "kaclsKeyMetadata": { # Metadata for a cryptographic key managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference). # Metadata for a private key instance managed by an external key access control list service. The maximum size of the KACLS data field is 8 KiB. + "kaclsData": "A String", # Opaque data generated and used by the key access control list service. + "kaclsUri": "A String", # The URI of the key access control list service that manages the key. }, "privateKeyMetadataId": "A String", # Output only. The immutable ID for the private key metadata instance. }, diff --git a/docs/dyn/health_v4.users.dataTypes.dataPoints.html b/docs/dyn/health_v4.users.dataTypes.dataPoints.html index 869d93a3ae..d00d466318 100644 --- a/docs/dyn/health_v4.users.dataTypes.dataPoints.html +++ b/docs/dyn/health_v4.users.dataTypes.dataPoints.html @@ -91,10 +91,10 @@

Instance Methods

Retrieves the next page of results.

exportExerciseTcx(name, partialData=None, x__xgafv=None)

-

Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.

+

Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.

exportExerciseTcx_media(name, partialData=None, x__xgafv=None)

-

Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.

+

Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.

get(name, x__xgafv=None)

Get a single identifyable data point.

@@ -125,7 +125,7 @@

Method Details

Delete a batch of identifyable data points.
 
 Args:
-  parent: string, Optional. Parent (data type) for the Data Point collection Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/-` For a list of the supported data types see the DataPoint data union field. Deleting data points across multiple data type collections is supported following https://aip.dev/159. If this is set, the parent of all of the data points specified in `names` must match this field. (required)
+  parent: string, Optional. Parent (data type) for the Data Point collection Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/-` - `users/1234567890/dataTypes/-` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field. Deleting data points across multiple data type collections is supported following https://aip.dev/159. If this is set, the parent of all of the data points specified in `names` must match this field. (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -174,7 +174,7 @@ 
Method Details

   
Creates a single identifiable data point.
 
 Args:
-  parent: string, Required. The parent resource name where the data point will be created. Format: `users/{user}/dataTypes/{data_type}` (required)
+  parent: string, Required. The parent resource name where the data point will be created. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -1141,7 +1141,7 @@ 
Method Details

       "A String",
     ],
   },
-  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
   "nutritionLog": { # Holds information about food logged by a user. There are two ways of creating a nutrition log based on the food type: 1. Identified food: Using the food field, which is a reference to a Food resource. In this case fields `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat`, `food_display_name` will be populated based on the referenced food. 2. Anonymous food: Using the `food_display_name` field and setting the `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat` fields manually. The identified food is preferred over the anonymous food. Nutrition logs created from anonymous food are not editable. # Optional. Data for points in the `nutrition-log` session data type collection.
     "energy": { # Represents the energy quantity. # Optional. The total energy of the food, measured in kilocalories (`kcal`).
       "kcal": 3.14, # Required. The energy value in kilocalories. Must be in the range `[0, 100000]`.
@@ -1637,12 +1637,12 @@ 
Method Details

   
Roll up data points over civil time intervals for supported data types.
 
 Args:
-  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/distance` For a list of the supported data types see the DailyRollupDataPoint value union field. (required)
+  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/distance` - `users/1234567890/dataTypes/distance` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DailyRollupDataPoint value union field. (required)
   body: object, The request body.
     The object takes the form of:
 
 { # Request to roll up data points by civil time intervals.
-  "dataSourceFamily": "A String", # Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
+  "dataSourceFamily": "A String", # Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
   "pageSize": 42, # Optional. The maximum number of data points to return. If unspecified, at most 1440 data points will be returned. The maximum page size is 10000; values above that will be truncated accordingly.
   "pageToken": "A String", # Optional. The next_page_token from a previous request, if any. All other request fields need to be the same as in the initial request when the page token is specified.
   "range": { # Counterpart of google.type.Interval, but using CivilDateTime. # Required. Closed-open range of data points that will be rolled up. The start time must be aligned with the aggregation window. The maximum range for `calories-in-heart-rate-zone`, `heart-rate`, `active-minutes` and `total-calories` is 14 days. The maximum range for all other data types is 90 days.
@@ -1861,10 +1861,10 @@ 
Method Details

 
 

     exportExerciseTcx(name, partialData=None, x__xgafv=None)
-  
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.
+  
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.
 
 Args:
-  name: string, Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Example: `users/me/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` is the alias `"me"` currently. Future versions may support user IDs. The `{data_point}` ID maps to the exercise ID, which is a long integer. (required)
+  name: string, Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Examples: - `users/me/dataTypes/exercise/dataPoints/2026443605080188808` - `users/1234567890/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). The `{data_point}` ID maps to the exercise ID, which is a long integer. (required)
   partialData: boolean, Optional. Indicates whether to include the TCX data points when the GPS data is not available. If not specified, defaults to `false` and partial data will not be included.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -1881,10 +1881,10 @@ 
Method Details

 
 

     exportExerciseTcx_media(name, partialData=None, x__xgafv=None)
-  
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.
+  
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.
 
 Args:
-  name: string, Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Example: `users/me/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` is the alias `"me"` currently. Future versions may support user IDs. The `{data_point}` ID maps to the exercise ID, which is a long integer. (required)
+  name: string, Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Examples: - `users/me/dataTypes/exercise/dataPoints/2026443605080188808` - `users/1234567890/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). The `{data_point}` ID maps to the exercise ID, which is a long integer. (required)
   partialData: boolean, Optional. Indicates whether to include the TCX data points when the GPS data is not available. If not specified, defaults to `false` and partial data will not be included.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -1902,7 +1902,7 @@ 
Method Details

   
Get a single identifyable data point.
 
 Args:
-  name: string, Required. The name of the data point to retrieve. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` See DataPoint.name for examples and possible values. (required)
+  name: string, Required. The name of the data point to retrieve. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). See DataPoint.name for examples and possible values. (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -2874,7 +2874,7 @@ 
Method Details

       "A String",
     ],
   },
-  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
   "nutritionLog": { # Holds information about food logged by a user. There are two ways of creating a nutrition log based on the food type: 1. Identified food: Using the food field, which is a reference to a Food resource. In this case fields `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat`, `food_display_name` will be populated based on the referenced food. 2. Anonymous food: Using the `food_display_name` field and setting the `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat` fields manually. The identified food is preferred over the anonymous food. Nutrition logs created from anonymous food are not editable. # Optional. Data for points in the `nutrition-log` session data type collection.
     "energy": { # Represents the energy quantity. # Optional. The total energy of the food, measured in kilocalories (`kcal`).
       "kcal": 3.14, # Required. The energy value in kilocalories. Must be in the range `[0, 100000]`.
@@ -3342,8 +3342,8 @@ 
Method Details

   
Query user health and fitness data points.
 
 Args:
-  parent: string, Required. Parent data type of the Data Point collection. Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/weight` For a list of the supported data types see the DataPoint data union field. (required)
-  dataSourceFamily: string, Optional. The data source family name to filter by. If empty, data points from all available data sources will be returned. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data types may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error. Filtering by data source family is not supported for the `sleep`, `food` and `food-measurement-unit` data types, because the underlying listing implementation cannot restrict results by data source. Such requests fail with `INVALID_ARGUMENT` when the data source family is set explicitly, and with `PERMISSION_DENIED` when the restriction is only implied by the caller's scopes. For `sleep`, use ReconcileDataPoints instead.
+  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/weight` - `users/1234567890/dataTypes/weight` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field. (required)
+  dataSourceFamily: string, Optional. The data source family name to filter by. If empty, data points from all available data sources will be returned. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data types may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error. Filtering by data source family is not supported for the `sleep`, `food` and `food-measurement-unit` data types, because the underlying listing implementation cannot restrict results by data source. Such requests fail with `INVALID_ARGUMENT` when the data source family is set explicitly, and with `PERMISSION_DENIED` when the restriction is only implied by the caller's scopes. For `sleep`, use ReconcileDataPoints instead.
   filter: string, Optional. Filter expression following https://google.aip.dev/160. A time range (either physical or civil) can be specified. The supported filter fields are: - Interval start time: - Pattern: `{interval_data_type}.interval.start_time` - Supported comparison operators: `>=`, `<` - Timestamp literal expected in RFC-3339 format - Supported logical operators: `AND` - Example: - `steps.interval.start_time >= "2023-11-24T00:00:00Z" AND steps.interval.start_time < "2023-11-25T00:00:00Z"` - `distance.interval.start_time >= "2024-08-14T12:34:56Z"` - Interval civil start time: - Pattern: `{interval_data_type}.interval.civil_start_time` - Supported comparison operators: `>=`, `<` - Date with optional time literal expected in ISO 8601 `YYYY-MM-DD[THH:mm:ss]` format - Supported logical operators: `AND` - Example: - `steps.interval.civil_start_time >= "2023-11-24" AND steps.interval.civil_start_time < "2023-11-25"` - `distance.interval.civil_start_time >= "2024-08-14T12:34:56"` - Sample observation physical time: - Pattern: `{sample_data_type}.sample_time.physical_time` - Supported comparison operators: `>=`, `<` - Timestamp literal expected in RFC-3339 format - Supported logical operators: `AND` - Example: - `weight.sample_time.physical_time >= "2023-11-24T00:00:00Z" AND weight.sample_time.physical_time < "2023-11-25T00:00:00Z"` - `weight.sample_time.physical_time >= "2024-08-14T12:34:56Z"` - Sample observation civil time: - Pattern: `{sample_data_type}.sample_time.civil_time` - Supported comparison operators: `>=`, `<` - Date with optional time literal expected in ISO 8601 `YYYY-MM-DD[THH:mm:ss]` format - Supported logical operators: `AND` - Example: - `weight.sample_time.civil_time >= "2023-11-24" AND weight.sample_time.civil_time < "2023-11-25"` - `weight.sample_time.civil_time >= "2024-08-14T12:34:56"` - Daily summary date: - Pattern: `{daily_summary_data_type}.date` - Supported comparison operators: `>=`, `<` - Date literal expected in ISO 8601 `YYYY-MM-DD` format - Supported logical operators: `AND` - Example: - `daily_heart_rate_variability.date < "2024-08-15"` - Session civil start time (**Excluding Sleep and ECG**): - Pattern: `{session_data_type}.interval.civil_start_time` - Supported comparison operators: `>=`, `<` - Date with optional time literal expected in ISO 8601 `YYYY-MM-DD[THH:mm:ss]` format - Supported logical operators: `AND` - Example: - `exercise.interval.civil_start_time >= "2023-11-24" AND exercise.interval.civil_start_time < "2023-11-25"` - `exercise.interval.civil_start_time >= "2024-08-14T12:34:56"` - Session start time (**ECG specific**): - Pattern: `electrocardiogram.interval.start_time` - Supported comparison operators: `>=` - Timestamp literal expected in RFC-3339 format - Example: - `electrocardiogram.interval.start_time >= "2024-08-14T12:34:56Z"` - Note: Only filtering by start time is supported for ECG. Filtering by end time (e.g., `electrocardiogram.interval.end_time`) is not supported. - Session end time (**Sleep specific**): - Pattern: `sleep.interval.end_time` - Supported comparison operators: `>=`, `<` - Timestamp literal expected in RFC-3339 format - Supported logical operators: `AND`, `OR` - Example: - `sleep.interval.end_time >= "2023-11-24T00:00:00Z" AND sleep.interval.end_time < "2023-11-25T00:00:00Z"` - Session civil end time (**Sleep specific**): - Pattern: `sleep.interval.civil_end_time` - Supported comparison operators: `>=`, `<` - Date with optional time literal expected in ISO 8601 `YYYY-MM-DD[THH:mm:ss]` format - Supported logical operators: `AND`, `OR` - Example: - `sleep.interval.civil_end_time >= "2023-11-24" AND sleep.interval.civil_end_time < "2023-11-25"` Data points in the response will be ordered by the interval start time in descending order.
   pageSize: integer, Optional. The maximum number of data points to return. If unspecified, at most 1440 data points will be returned. The maximum page size is 10000; values above that will be truncated accordingly. For `exercise` and `sleep` the default page size is 25. The maximum page size for `exercise` and `sleep` is 25.
   pageToken: string, Optional. The `next_page_token` from a previous request, if any.
@@ -4320,7 +4320,7 @@ 
Method Details

           "A String",
         ],
       },
-      "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+      "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
       "nutritionLog": { # Holds information about food logged by a user. There are two ways of creating a nutrition log based on the food type: 1. Identified food: Using the food field, which is a reference to a Food resource. In this case fields `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat`, `food_display_name` will be populated based on the referenced food. 2. Anonymous food: Using the `food_display_name` field and setting the `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat` fields manually. The identified food is preferred over the anonymous food. Nutrition logs created from anonymous food are not editable. # Optional. Data for points in the `nutrition-log` session data type collection.
         "energy": { # Represents the energy quantity. # Optional. The total energy of the food, measured in kilocalories (`kcal`).
           "kcal": 3.14, # Required. The energy value in kilocalories. Must be in the range `[0, 100000]`.
@@ -4805,7 +4805,7 @@ 
Method Details

   
Updates a single identifiable data point. If a data point with the specified `name` is not found, the request will fail.
 
 Args:
-  name: string, Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens. (required)
+  name: string, Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens. (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -5772,7 +5772,7 @@ 
Method Details

       "A String",
     ],
   },
-  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
   "nutritionLog": { # Holds information about food logged by a user. There are two ways of creating a nutrition log based on the food type: 1. Identified food: Using the food field, which is a reference to a Food resource. In this case fields `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat`, `food_display_name` will be populated based on the referenced food. 2. Anonymous food: Using the `food_display_name` field and setting the `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat` fields manually. The identified food is preferred over the anonymous food. Nutrition logs created from anonymous food are not editable. # Optional. Data for points in the `nutrition-log` session data type collection.
     "energy": { # Represents the energy quantity. # Optional. The total energy of the food, measured in kilocalories (`kcal`).
       "kcal": 3.14, # Required. The energy value in kilocalories. Must be in the range `[0, 100000]`.
@@ -6268,8 +6268,8 @@ 
Method Details

   
Reconcile data points from multiple data sources into a single data stream.
 
 Args:
-  parent: string, Required. Parent data type of the Data Point collection. Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/heart-rate` For a list of the supported data types see the DataPoint data union field. (required)
-  dataSourceFamily: string, Optional. The data source family name to reconcile. If empty, data points from all data sources will be reconciled. Format: `users/me/dataSourceFamilies/{data_source_family}` - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
+  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/heart-rate` - `users/1234567890/dataTypes/heart-rate` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field. (required)
+  dataSourceFamily: string, Optional. The data source family name to reconcile. If empty, data points from all data sources will be reconciled. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
   filter: string, Optional. Filter expression based on https://aip.dev/160. A time range, either physical or civil, can be specified. See the ListDataPointsRequest.filter for the supported fields and syntax.
   pageSize: integer, Optional. The maximum number of data points to return. If unspecified, at most 1440 data points will be returned. The maximum page size is 10000; values above that will be truncated accordingly. For `exercise` and `sleep` the default page size is 25. The maximum page size for `exercise` and `sleep` is 25.
   pageToken: string, Optional. The `next_page_token` from a previous request, if any.
@@ -6643,7 +6643,7 @@ 
Method Details

         "vo2Max": 3.14, # Required. Daily VO2 max value measured as in ml consumed oxygen / kg of body weight / min. Must be in the range `[0, 100]`.
         "vo2MaxCovariance": 3.14, # Optional. The covariance of the VO2 max value.
       },
-      "dataPointName": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+      "dataPointName": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
       "distance": { # Distance traveled over an interval of time. # Data for points in the `distance` interval data type collection.
         "interval": { # Represents a time interval of an observed data point. # Required. Observed interval.
           "civilEndTime": { # Civil time representation similar to google.type.DateTime, but ensures that neither the timezone nor the UTC offset can be set to avoid confusion between civil and physical time queries. # Output only. Observed interval end time in civil time in the timezone the subject is in at the end of the observed interval
@@ -7409,12 +7409,12 @@ 
Method Details

   
Roll up data points over physical time intervals for supported data types.
 
 Args:
-  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/distance` For a list of the supported data types see the RollupDataPoint value union field. (required)
+  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/distance` - `users/1234567890/dataTypes/distance` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the RollupDataPoint value union field. (required)
   body: object, The request body.
     The object takes the form of:
 
 { # Request to roll up data points by physical time intervals.
-  "dataSourceFamily": "A String", # Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
+  "dataSourceFamily": "A String", # Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
   "pageSize": 42, # Optional. The maximum number of data points to return. If unspecified, at most 1440 data points will be returned. The maximum page size is 10000; values above that will be truncated accordingly.
   "pageToken": "A String", # Optional. The next_page_token from a previous request, if any. All other request fields need to be the same as in the initial request when the page token is specified.
   "range": { # Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. # Required. Closed-open range of data points that will be rolled up. The maximum range for `calories-in-heart-rate-zone`, `heart-rate`, `active-minutes` and `total-calories` is 14 days. The maximum range for all other data types is 90 days.
diff --git a/docs/dyn/health_v4beta.users.dataTypes.dataPoints.html b/docs/dyn/health_v4beta.users.dataTypes.dataPoints.html
index ca0f46f337..67745c3e5b 100644
--- a/docs/dyn/health_v4beta.users.dataTypes.dataPoints.html
+++ b/docs/dyn/health_v4beta.users.dataTypes.dataPoints.html
@@ -91,10 +91,10 @@ 
Instance Methods

 
Retrieves the next page of results.

 

   exportExerciseTcx(name, partialData=None, x__xgafv=None)

-
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.

+
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.

 

   exportExerciseTcx_media(name, partialData=None, x__xgafv=None)

-
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.

+
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.

 

   get(name, x__xgafv=None)

 
Get a single identifyable data point.

@@ -125,7 +125,7 @@ 
Method Details

   
Delete a batch of identifyable data points.
 
 Args:
-  parent: string, Optional. Parent (data type) for the Data Point collection Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/-` For a list of the supported data types see the DataPoint data union field. Deleting data points across multiple data type collections is supported following https://aip.dev/159. If this is set, the parent of all of the data points specified in `names` must match this field. (required)
+  parent: string, Optional. Parent (data type) for the Data Point collection Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/-` - `users/1234567890/dataTypes/-` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field. Deleting data points across multiple data type collections is supported following https://aip.dev/159. If this is set, the parent of all of the data points specified in `names` must match this field. (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -174,7 +174,7 @@ 
Method Details

   
Creates a single identifiable data point.
 
 Args:
-  parent: string, Required. The parent resource name where the data point will be created. Format: `users/{user}/dataTypes/{data_type}` (required)
+  parent: string, Required. The parent resource name where the data point will be created. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -1141,7 +1141,7 @@ 
Method Details

       "A String",
     ],
   },
-  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
   "nutritionLog": { # Holds information about food logged by a user. There are two ways of creating a nutrition log based on the food type: 1. Identified food: Using the food field, which is a reference to a Food resource. In this case fields `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat`, `food_display_name` will be populated based on the referenced food. 2. Anonymous food: Using the `food_display_name` field and setting the `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat` fields manually. The identified food is preferred over the anonymous food. Nutrition logs created from anonymous food are not editable. # Optional. Data for points in the `nutrition-log` session data type collection.
     "energy": { # Represents the energy quantity. # Optional. The total energy of the food, measured in kilocalories (`kcal`).
       "kcal": 3.14, # Required. The energy value in kilocalories. Must be in the range `[0, 100000]`.
@@ -1342,7 +1342,7 @@ 
Method Details

       "startUtcOffset": "A String", # Required. The offset of the user's local time at the start of the observation relative to the Coordinated Universal Time (UTC).
     },
   },
-  "skinTemperature": { # ////////////////////////////////////////////////////////////////////////// SkinTemperature ////////////////////////////////////////////////////////////////////////// Skin temperature measurement. # Optional. Data for points in the `skin-temperature` sample data type collection.
+  "skinTemperature": { # Skin temperature measurement. # Optional. Data for points in the `skin-temperature` sample data type collection.
     "baselineTemperatureCelsius": 3.14, # Required. The baseline skin temperature in Celsius. Must be in the range `[0, 100]`.
     "metadata": { # Metadata for the skin temperature measurement. # Optional. Metadata for the skin temperature measurement.
       "measurementLocation": "A String", # Optional. The location of the skin temperature measurement.
@@ -1691,12 +1691,12 @@ 
Method Details

   
Roll up data points over civil time intervals for supported data types.
 
 Args:
-  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/distance` For a list of the supported data types see the DailyRollupDataPoint value union field. (required)
+  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/distance` - `users/1234567890/dataTypes/distance` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DailyRollupDataPoint value union field. (required)
   body: object, The request body.
     The object takes the form of:
 
 { # Request to roll up data points by civil time intervals.
-  "dataSourceFamily": "A String", # Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
+  "dataSourceFamily": "A String", # Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
   "pageSize": 42, # Optional. The maximum number of data points to return. If unspecified, at most 1440 data points will be returned. The maximum page size is 10000; values above that will be truncated accordingly.
   "pageToken": "A String", # Optional. The next_page_token from a previous request, if any. All other request fields need to be the same as in the initial request when the page token is specified.
   "range": { # Counterpart of google.type.Interval, but using CivilDateTime. # Required. Closed-open range of data points that will be rolled up. The start time must be aligned with the aggregation window. The maximum range for `calories-in-heart-rate-zone`, `heart-rate`, `active-minutes` and `total-calories` is 14 days. The maximum range for all other data types is 90 days.
@@ -1920,10 +1920,10 @@ 
Method Details

 
 

     exportExerciseTcx(name, partialData=None, x__xgafv=None)
-  
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.
+  
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.
 
 Args:
-  name: string, Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Example: `users/me/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` is the alias `"me"` currently. Future versions may support user IDs. The `{data_point}` ID maps to the exercise ID, which is a long integer. (required)
+  name: string, Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Examples: - `users/me/dataTypes/exercise/dataPoints/2026443605080188808` - `users/1234567890/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). The `{data_point}` ID maps to the exercise ID, which is a long integer. (required)
   partialData: boolean, Optional. Indicates whether to include the TCX data points when the GPS data is not available. If not specified, defaults to `false` and partial data will not be included.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -1940,10 +1940,10 @@ 
Method Details

 
 

     exportExerciseTcx_media(name, partialData=None, x__xgafv=None)
-  
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.
+  
Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.
 
 Args:
-  name: string, Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Example: `users/me/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` is the alias `"me"` currently. Future versions may support user IDs. The `{data_point}` ID maps to the exercise ID, which is a long integer. (required)
+  name: string, Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Examples: - `users/me/dataTypes/exercise/dataPoints/2026443605080188808` - `users/1234567890/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). The `{data_point}` ID maps to the exercise ID, which is a long integer. (required)
   partialData: boolean, Optional. Indicates whether to include the TCX data points when the GPS data is not available. If not specified, defaults to `false` and partial data will not be included.
   x__xgafv: string, V1 error format.
     Allowed values
@@ -1961,7 +1961,7 @@ 
Method Details

   
Get a single identifyable data point.
 
 Args:
-  name: string, Required. The name of the data point to retrieve. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` See DataPoint.name for examples and possible values. (required)
+  name: string, Required. The name of the data point to retrieve. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). See DataPoint.name for examples and possible values. (required)
   x__xgafv: string, V1 error format.
     Allowed values
       1 - v1 error format
@@ -2933,7 +2933,7 @@ 
Method Details

       "A String",
     ],
   },
-  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
   "nutritionLog": { # Holds information about food logged by a user. There are two ways of creating a nutrition log based on the food type: 1. Identified food: Using the food field, which is a reference to a Food resource. In this case fields `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat`, `food_display_name` will be populated based on the referenced food. 2. Anonymous food: Using the `food_display_name` field and setting the `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat` fields manually. The identified food is preferred over the anonymous food. Nutrition logs created from anonymous food are not editable. # Optional. Data for points in the `nutrition-log` session data type collection.
     "energy": { # Represents the energy quantity. # Optional. The total energy of the food, measured in kilocalories (`kcal`).
       "kcal": 3.14, # Required. The energy value in kilocalories. Must be in the range `[0, 100000]`.
@@ -3134,7 +3134,7 @@ 
Method Details

       "startUtcOffset": "A String", # Required. The offset of the user's local time at the start of the observation relative to the Coordinated Universal Time (UTC).
     },
   },
-  "skinTemperature": { # ////////////////////////////////////////////////////////////////////////// SkinTemperature ////////////////////////////////////////////////////////////////////////// Skin temperature measurement. # Optional. Data for points in the `skin-temperature` sample data type collection.
+  "skinTemperature": { # Skin temperature measurement. # Optional. Data for points in the `skin-temperature` sample data type collection.
     "baselineTemperatureCelsius": 3.14, # Required. The baseline skin temperature in Celsius. Must be in the range `[0, 100]`.
     "metadata": { # Metadata for the skin temperature measurement. # Optional. Metadata for the skin temperature measurement.
       "measurementLocation": "A String", # Optional. The location of the skin temperature measurement.
@@ -3455,8 +3455,8 @@ 
Method Details

   
Query user health and fitness data points.
 
 Args:
-  parent: string, Required. Parent data type of the Data Point collection. Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/weight` For a list of the supported data types see the DataPoint data union field. (required)
-  dataSourceFamily: string, Optional. The data source family name to filter by. If empty, data points from all available data sources will be returned. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data types may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error. Filtering by data source family is not supported for the `sleep`, `food` and `food-measurement-unit` data types, because the underlying listing implementation cannot restrict results by data source. Such requests fail with `INVALID_ARGUMENT` when the data source family is set explicitly, and with `PERMISSION_DENIED` when the restriction is only implied by the caller's scopes. For `sleep`, use ReconcileDataPoints instead.
+  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/weight` - `users/1234567890/dataTypes/weight` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field. (required)
+  dataSourceFamily: string, Optional. The data source family name to filter by. If empty, data points from all available data sources will be returned. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data types may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error. Filtering by data source family is not supported for the `sleep`, `food` and `food-measurement-unit` data types, because the underlying listing implementation cannot restrict results by data source. Such requests fail with `INVALID_ARGUMENT` when the data source family is set explicitly, and with `PERMISSION_DENIED` when the restriction is only implied by the caller's scopes. For `sleep`, use ReconcileDataPoints instead.
   filter: string, Optional. Filter expression following https://google.aip.dev/160. A time range (either physical or civil) can be specified. The supported filter fields are: - Interval start time: - Pattern: `{interval_data_type}.interval.start_time` - Supported comparison operators: `>=`, `<` - Timestamp literal expected in RFC-3339 format - Supported logical operators: `AND` - Example: - `steps.interval.start_time >= "2023-11-24T00:00:00Z" AND steps.interval.start_time < "2023-11-25T00:00:00Z"` - `distance.interval.start_time >= "2024-08-14T12:34:56Z"` - Interval civil start time: - Pattern: `{interval_data_type}.interval.civil_start_time` - Supported comparison operators: `>=`, `<` - Date with optional time literal expected in ISO 8601 `YYYY-MM-DD[THH:mm:ss]` format - Supported logical operators: `AND` - Example: - `steps.interval.civil_start_time >= "2023-11-24" AND steps.interval.civil_start_time < "2023-11-25"` - `distance.interval.civil_start_time >= "2024-08-14T12:34:56"` - Sample observation physical time: - Pattern: `{sample_data_type}.sample_time.physical_time` - Supported comparison operators: `>=`, `<` - Timestamp literal expected in RFC-3339 format - Supported logical operators: `AND` - Example: - `weight.sample_time.physical_time >= "2023-11-24T00:00:00Z" AND weight.sample_time.physical_time < "2023-11-25T00:00:00Z"` - `weight.sample_time.physical_time >= "2024-08-14T12:34:56Z"` - Sample observation civil time: - Pattern: `{sample_data_type}.sample_time.civil_time` - Supported comparison operators: `>=`, `<` - Date with optional time literal expected in ISO 8601 `YYYY-MM-DD[THH:mm:ss]` format - Supported logical operators: `AND` - Example: - `weight.sample_time.civil_time >= "2023-11-24" AND weight.sample_time.civil_time < "2023-11-25"` - `weight.sample_time.civil_time >= "2024-08-14T12:34:56"` - Daily summary date: - Pattern: `{daily_summary_data_type}.date` - Supported comparison operators: `>=`, `<` - Date literal expected in ISO 8601 `YYYY-MM-DD` format - Supported logical operators: `AND` - Example: - `daily_heart_rate_variability.date < "2024-08-15"` - Session civil start time (**Excluding Sleep and ECG**): - Pattern: `{session_data_type}.interval.civil_start_time` - Supported comparison operators: `>=`, `<` - Date with optional time literal expected in ISO 8601 `YYYY-MM-DD[THH:mm:ss]` format - Supported logical operators: `AND` - Example: - `exercise.interval.civil_start_time >= "2023-11-24" AND exercise.interval.civil_start_time < "2023-11-25"` - `exercise.interval.civil_start_time >= "2024-08-14T12:34:56"` - Session start time (**ECG specific**): - Pattern: `electrocardiogram.interval.start_time` - Supported comparison operators: `>=` - Timestamp literal expected in RFC-3339 format - Example: - `electrocardiogram.interval.start_time >= "2024-08-14T12:34:56Z"` - Note: Only filtering by start time is supported for ECG. Filtering by end time (e.g., `electrocardiogram.interval.end_time`) is not supported. - Session end time (**Sleep specific**): - Pattern: `sleep.interval.end_time` - Supported comparison operators: `>=`, `<` - Timestamp literal expected in RFC-3339 format - Supported logical operators: `AND`, `OR` - Example: - `sleep.interval.end_time >= "2023-11-24T00:00:00Z" AND sleep.interval.end_time < "2023-11-25T00:00:00Z"` - Session civil end time (**Sleep specific**): - Pattern: `sleep.interval.civil_end_time` - Supported comparison operators: `>=`, `<` - Date with optional time literal expected in ISO 8601 `YYYY-MM-DD[THH:mm:ss]` format - Supported logical operators: `AND`, `OR` - Example: - `sleep.interval.civil_end_time >= "2023-11-24" AND sleep.interval.civil_end_time < "2023-11-25"` Data points in the response will be ordered by the interval start time in descending order.
   pageSize: integer, Optional. The maximum number of data points to return. If unspecified, at most 1440 data points will be returned. The maximum page size is 10000; values above that will be truncated accordingly. For `exercise` and `sleep` the default page size is 25. The maximum page size for `exercise` and `sleep` is 25.
   pageToken: string, Optional. The `next_page_token` from a previous request, if any.
@@ -4433,7 +4433,7 @@ 
Method Details

           "A String",
         ],
       },
-      "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+      "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
       "nutritionLog": { # Holds information about food logged by a user. There are two ways of creating a nutrition log based on the food type: 1. Identified food: Using the food field, which is a reference to a Food resource. In this case fields `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat`, `food_display_name` will be populated based on the referenced food. 2. Anonymous food: Using the `food_display_name` field and setting the `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat` fields manually. The identified food is preferred over the anonymous food. Nutrition logs created from anonymous food are not editable. # Optional. Data for points in the `nutrition-log` session data type collection.
         "energy": { # Represents the energy quantity. # Optional. The total energy of the food, measured in kilocalories (`kcal`).
           "kcal": 3.14, # Required. The energy value in kilocalories. Must be in the range `[0, 100000]`.
@@ -4634,7 +4634,7 @@ 
Method Details

           "startUtcOffset": "A String", # Required. The offset of the user's local time at the start of the observation relative to the Coordinated Universal Time (UTC).
         },
       },
-      "skinTemperature": { # ////////////////////////////////////////////////////////////////////////// SkinTemperature ////////////////////////////////////////////////////////////////////////// Skin temperature measurement. # Optional. Data for points in the `skin-temperature` sample data type collection.
+      "skinTemperature": { # Skin temperature measurement. # Optional. Data for points in the `skin-temperature` sample data type collection.
         "baselineTemperatureCelsius": 3.14, # Required. The baseline skin temperature in Celsius. Must be in the range `[0, 100]`.
         "metadata": { # Metadata for the skin temperature measurement. # Optional. Metadata for the skin temperature measurement.
           "measurementLocation": "A String", # Optional. The location of the skin temperature measurement.
@@ -4972,7 +4972,7 @@ 
Method Details

   
Updates a single identifiable data point. If a data point with the specified `name` is not found, the request will fail.
 
 Args:
-  name: string, Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens. (required)
+  name: string, Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens. (required)
   body: object, The request body.
     The object takes the form of:
 
@@ -5939,7 +5939,7 @@ 
Method Details

       "A String",
     ],
   },
-  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+  "name": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
   "nutritionLog": { # Holds information about food logged by a user. There are two ways of creating a nutrition log based on the food type: 1. Identified food: Using the food field, which is a reference to a Food resource. In this case fields `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat`, `food_display_name` will be populated based on the referenced food. 2. Anonymous food: Using the `food_display_name` field and setting the `nutrients`, `energy`, `energy_from_fat`, `total_carbohydrate`, `total_fat` fields manually. The identified food is preferred over the anonymous food. Nutrition logs created from anonymous food are not editable. # Optional. Data for points in the `nutrition-log` session data type collection.
     "energy": { # Represents the energy quantity. # Optional. The total energy of the food, measured in kilocalories (`kcal`).
       "kcal": 3.14, # Required. The energy value in kilocalories. Must be in the range `[0, 100000]`.
@@ -6140,7 +6140,7 @@ 
Method Details

       "startUtcOffset": "A String", # Required. The offset of the user's local time at the start of the observation relative to the Coordinated Universal Time (UTC).
     },
   },
-  "skinTemperature": { # ////////////////////////////////////////////////////////////////////////// SkinTemperature ////////////////////////////////////////////////////////////////////////// Skin temperature measurement. # Optional. Data for points in the `skin-temperature` sample data type collection.
+  "skinTemperature": { # Skin temperature measurement. # Optional. Data for points in the `skin-temperature` sample data type collection.
     "baselineTemperatureCelsius": 3.14, # Required. The baseline skin temperature in Celsius. Must be in the range `[0, 100]`.
     "metadata": { # Metadata for the skin temperature measurement. # Optional. Metadata for the skin temperature measurement.
       "measurementLocation": "A String", # Optional. The location of the skin temperature measurement.
@@ -6489,8 +6489,8 @@ 
Method Details

   
Reconcile data points from multiple data sources into a single data stream.
 
 Args:
-  parent: string, Required. Parent data type of the Data Point collection. Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/heart-rate` For a list of the supported data types see the DataPoint data union field. (required)
-  dataSourceFamily: string, Optional. The data source family name to reconcile. If empty, data points from all data sources will be reconciled. Format: `users/me/dataSourceFamilies/{data_source_family}` - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
+  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/heart-rate` - `users/1234567890/dataTypes/heart-rate` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field. (required)
+  dataSourceFamily: string, Optional. The data source family name to reconcile. If empty, data points from all data sources will be reconciled. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
   filter: string, Optional. Filter expression based on https://aip.dev/160. A time range, either physical or civil, can be specified. See the ListDataPointsRequest.filter for the supported fields and syntax.
   pageSize: integer, Optional. The maximum number of data points to return. If unspecified, at most 1440 data points will be returned. The maximum page size is 10000; values above that will be truncated accordingly. For `exercise` and `sleep` the default page size is 25. The maximum page size for `exercise` and `sleep` is 25.
   pageToken: string, Optional. The `next_page_token` from a previous request, if any.
@@ -6864,7 +6864,7 @@ 
Method Details

         "vo2Max": 3.14, # Required. Daily VO2 max value measured as in ml consumed oxygen / kg of body weight / min. Must be in the range `[0, 100]`.
         "vo2MaxCovariance": 3.14, # Optional. The covariance of the VO2 max value.
       },
-      "dataPointName": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
+      "dataPointName": "A String", # Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.
       "distance": { # Distance traveled over an interval of time. # Data for points in the `distance` interval data type collection.
         "interval": { # Represents a time interval of an observed data point. # Required. Observed interval.
           "civilEndTime": { # Civil time representation similar to google.type.DateTime, but ensures that neither the timezone nor the UTC offset can be set to avoid confusion between civil and physical time queries. # Output only. Observed interval end time in civil time in the timezone the subject is in at the end of the observed interval
@@ -7368,7 +7368,7 @@ 
Method Details

           "startUtcOffset": "A String", # Required. The offset of the user's local time at the start of the observation relative to the Coordinated Universal Time (UTC).
         },
       },
-      "skinTemperature": { # ////////////////////////////////////////////////////////////////////////// SkinTemperature ////////////////////////////////////////////////////////////////////////// Skin temperature measurement. # Data for points in the `skin-temperature` sample data type collection.
+      "skinTemperature": { # Skin temperature measurement. # Data for points in the `skin-temperature` sample data type collection.
         "baselineTemperatureCelsius": 3.14, # Required. The baseline skin temperature in Celsius. Must be in the range `[0, 100]`.
         "metadata": { # Metadata for the skin temperature measurement. # Optional. Metadata for the skin temperature measurement.
           "measurementLocation": "A String", # Optional. The location of the skin temperature measurement.
@@ -7684,12 +7684,12 @@ 
Method Details

   
Roll up data points over physical time intervals for supported data types.
 
 Args:
-  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/distance` For a list of the supported data types see the RollupDataPoint value union field. (required)
+  parent: string, Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/distance` - `users/1234567890/dataTypes/distance` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the RollupDataPoint value union field. (required)
   body: object, The request body.
     The object takes the form of:
 
 { # Request to roll up data points by physical time intervals.
-  "dataSourceFamily": "A String", # Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
+  "dataSourceFamily": "A String", # Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.
   "pageSize": 42, # Optional. The maximum number of data points to return. If unspecified, at most 1440 data points will be returned. The maximum page size is 10000; values above that will be truncated accordingly.
   "pageToken": "A String", # Optional. The next_page_token from a previous request, if any. All other request fields need to be the same as in the initial request when the page token is specified.
   "range": { # Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. # Required. Closed-open range of data points that will be rolled up. The maximum range for `calories-in-heart-rate-zone`, `heart-rate`, `active-minutes` and `total-calories` is 14 days. The maximum range for all other data types is 90 days.
diff --git a/docs/dyn/networkservices_v1.projects.locations.extensionBindings.html b/docs/dyn/networkservices_v1.projects.locations.extensionBindings.html
index 23b34fe0b6..1d9b2a1ae7 100644
--- a/docs/dyn/networkservices_v1.projects.locations.extensionBindings.html
+++ b/docs/dyn/networkservices_v1.projects.locations.extensionBindings.html
@@ -118,92 +118,92 @@ 
Method Details

   "labels": { # Optional. Set of labels associated with the `ExtensionBinding` resource. The format must comply with [the following requirements](https://cloud.google.com/compute/docs/labeling-resources#requirements).
     "a_key": "A String",
   },
-  "matchConditions": [ # Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.
+  "matchConditions": [ # Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.
     { # Conditions to match against the incoming request.
       "to": { # Describes properties of one or more destinations of a request. # Optional. Describes properties of a destination of a request. If specified, the extension will only be invoked on requests to destinations that match the specified criteria.
-        "destination": { # Describes properties of a single destination. # Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified.
+        "destination": { # Describes properties of a single destination. # Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
         "notDestination": { # Describes properties of a single destination. # Optional. Describes the negated properties of the request destination. Extension will not be invoked on requests that match the criteria specified in this field. At least one of destination or not_destination must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
@@ -211,18 +211,18 @@ 
Method Details

     },
   ],
   "name": "A String", # Identifier. Name of the `ExtensionBinding` resource in the following format: `projects/{project}/locations/{location}/extensionBindings/{extension_binding}`.
-  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.
-  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))
-  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request.
+  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.
+  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.
+  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.
     "a_key": "A String",
   },
-  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources.
-    "resources": [ # Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.
+  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached.
+    "resources": [ # Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.
       "A String",
     ],
     "scope": { # Specifies the scope of resources to which this binding should attach. # Optional. Specifies the scope of resources to which this binding should attach. Exactly one of `resources` or `scope` must be set.
-      "parent": "A String", # Required. Parent resource name specification, in the format: `projects/{project_number}`.
-      "resourceTypes": [ # Required. Type of the resource to which the binding should attach. Limited to 1 resource type.
+      "parent": "A String", # Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.
+      "resourceTypes": [ # Required. The types of resources to which the binding should attach. Limited to 1 resource type.
         "A String",
       ],
     },
@@ -318,92 +318,92 @@ 
Method Details

   "labels": { # Optional. Set of labels associated with the `ExtensionBinding` resource. The format must comply with [the following requirements](https://cloud.google.com/compute/docs/labeling-resources#requirements).
     "a_key": "A String",
   },
-  "matchConditions": [ # Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.
+  "matchConditions": [ # Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.
     { # Conditions to match against the incoming request.
       "to": { # Describes properties of one or more destinations of a request. # Optional. Describes properties of a destination of a request. If specified, the extension will only be invoked on requests to destinations that match the specified criteria.
-        "destination": { # Describes properties of a single destination. # Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified.
+        "destination": { # Describes properties of a single destination. # Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
         "notDestination": { # Describes properties of a single destination. # Optional. Describes the negated properties of the request destination. Extension will not be invoked on requests that match the criteria specified in this field. At least one of destination or not_destination must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
@@ -411,18 +411,18 @@ 
Method Details

     },
   ],
   "name": "A String", # Identifier. Name of the `ExtensionBinding` resource in the following format: `projects/{project}/locations/{location}/extensionBindings/{extension_binding}`.
-  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.
-  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))
-  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request.
+  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.
+  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.
+  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.
     "a_key": "A String",
   },
-  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources.
-    "resources": [ # Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.
+  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached.
+    "resources": [ # Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.
       "A String",
     ],
     "scope": { # Specifies the scope of resources to which this binding should attach. # Optional. Specifies the scope of resources to which this binding should attach. Exactly one of `resources` or `scope` must be set.
-      "parent": "A String", # Required. Parent resource name specification, in the format: `projects/{project_number}`.
-      "resourceTypes": [ # Required. Type of the resource to which the binding should attach. Limited to 1 resource type.
+      "parent": "A String", # Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.
+      "resourceTypes": [ # Required. The types of resources to which the binding should attach. Limited to 1 resource type.
         "A String",
       ],
     },
@@ -457,92 +457,92 @@ 
Method Details

       "labels": { # Optional. Set of labels associated with the `ExtensionBinding` resource. The format must comply with [the following requirements](https://cloud.google.com/compute/docs/labeling-resources#requirements).
         "a_key": "A String",
       },
-      "matchConditions": [ # Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.
+      "matchConditions": [ # Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.
         { # Conditions to match against the incoming request.
           "to": { # Describes properties of one or more destinations of a request. # Optional. Describes properties of a destination of a request. If specified, the extension will only be invoked on requests to destinations that match the specified criteria.
-            "destination": { # Describes properties of a single destination. # Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified.
+            "destination": { # Describes properties of a single destination. # Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified.
               "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-                "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+                "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
                   { # Determines how an HTTP header should be matched.
                     "name": "A String", # Required. Specifies the name of the header in the request.
                     "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                      "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                      "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                      "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                      "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                      "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                      "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                      "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                      "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                      "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                      "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                     },
                   },
                 ],
               },
               "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
               "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
               "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
             },
             "notDestination": { # Describes properties of a single destination. # Optional. Describes the negated properties of the request destination. Extension will not be invoked on requests that match the criteria specified in this field. At least one of destination or not_destination must be specified.
               "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-                "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+                "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
                   { # Determines how an HTTP header should be matched.
                     "name": "A String", # Required. Specifies the name of the header in the request.
                     "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                      "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                      "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                      "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                      "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                      "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                      "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                      "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                      "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                      "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                      "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                     },
                   },
                 ],
               },
               "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
               "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
               "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
             },
@@ -550,18 +550,18 @@ 
Method Details

         },
       ],
       "name": "A String", # Identifier. Name of the `ExtensionBinding` resource in the following format: `projects/{project}/locations/{location}/extensionBindings/{extension_binding}`.
-      "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.
-      "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))
-      "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request.
+      "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.
+      "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.
+      "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.
         "a_key": "A String",
       },
-      "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources.
-        "resources": [ # Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.
+      "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached.
+        "resources": [ # Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.
           "A String",
         ],
         "scope": { # Specifies the scope of resources to which this binding should attach. # Optional. Specifies the scope of resources to which this binding should attach. Exactly one of `resources` or `scope` must be set.
-          "parent": "A String", # Required. Parent resource name specification, in the format: `projects/{project_number}`.
-          "resourceTypes": [ # Required. Type of the resource to which the binding should attach. Limited to 1 resource type.
+          "parent": "A String", # Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.
+          "resourceTypes": [ # Required. The types of resources to which the binding should attach. Limited to 1 resource type.
             "A String",
           ],
         },
@@ -607,92 +607,92 @@ 
Method Details

   "labels": { # Optional. Set of labels associated with the `ExtensionBinding` resource. The format must comply with [the following requirements](https://cloud.google.com/compute/docs/labeling-resources#requirements).
     "a_key": "A String",
   },
-  "matchConditions": [ # Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.
+  "matchConditions": [ # Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.
     { # Conditions to match against the incoming request.
       "to": { # Describes properties of one or more destinations of a request. # Optional. Describes properties of a destination of a request. If specified, the extension will only be invoked on requests to destinations that match the specified criteria.
-        "destination": { # Describes properties of a single destination. # Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified.
+        "destination": { # Describes properties of a single destination. # Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
         "notDestination": { # Describes properties of a single destination. # Optional. Describes the negated properties of the request destination. Extension will not be invoked on requests that match the criteria specified in this field. At least one of destination or not_destination must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
@@ -700,18 +700,18 @@ 
Method Details

     },
   ],
   "name": "A String", # Identifier. Name of the `ExtensionBinding` resource in the following format: `projects/{project}/locations/{location}/extensionBindings/{extension_binding}`.
-  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.
-  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))
-  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request.
+  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.
+  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.
+  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.
     "a_key": "A String",
   },
-  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources.
-    "resources": [ # Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.
+  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached.
+    "resources": [ # Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.
       "A String",
     ],
     "scope": { # Specifies the scope of resources to which this binding should attach. # Optional. Specifies the scope of resources to which this binding should attach. Exactly one of `resources` or `scope` must be set.
-      "parent": "A String", # Required. Parent resource name specification, in the format: `projects/{project_number}`.
-      "resourceTypes": [ # Required. Type of the resource to which the binding should attach. Limited to 1 resource type.
+      "parent": "A String", # Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.
+      "resourceTypes": [ # Required. The types of resources to which the binding should attach. Limited to 1 resource type.
         "A String",
       ],
     },
diff --git a/docs/dyn/networkservices_v1beta1.projects.locations.extensionBindings.html b/docs/dyn/networkservices_v1beta1.projects.locations.extensionBindings.html
index 12a2dbe362..2e54cd8c46 100644
--- a/docs/dyn/networkservices_v1beta1.projects.locations.extensionBindings.html
+++ b/docs/dyn/networkservices_v1beta1.projects.locations.extensionBindings.html
@@ -118,92 +118,92 @@ 
Method Details

   "labels": { # Optional. Set of labels associated with the `ExtensionBinding` resource. The format must comply with [the following requirements](https://cloud.google.com/compute/docs/labeling-resources#requirements).
     "a_key": "A String",
   },
-  "matchConditions": [ # Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.
+  "matchConditions": [ # Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.
     { # Conditions to match against the incoming request.
       "to": { # Describes properties of one or more destinations of a request. # Optional. Describes properties of a destination of a request. If specified, the extension will only be invoked on requests to destinations that match the specified criteria.
-        "destination": { # Describes properties of a single destination. # Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified.
+        "destination": { # Describes properties of a single destination. # Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
         "notDestination": { # Describes properties of a single destination. # Optional. Describes the negated properties of the request destination. Extension will not be invoked on requests that match the criteria specified in this field. At least one of destination or not_destination must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
@@ -211,18 +211,18 @@ 
Method Details

     },
   ],
   "name": "A String", # Identifier. Name of the `ExtensionBinding` resource in the following format: `projects/{project}/locations/{location}/extensionBindings/{extension_binding}`.
-  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.
-  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))
-  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request.
+  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.
+  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.
+  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.
     "a_key": "A String",
   },
-  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources.
-    "resources": [ # Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.
+  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached.
+    "resources": [ # Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.
       "A String",
     ],
     "scope": { # Specifies the scope of resources to which this binding should attach. # Optional. Specifies the scope of resources to which this binding should attach. Exactly one of `resources` or `scope` must be set.
-      "parent": "A String", # Required. Parent resource name specification, in the format: `projects/{project_number}`.
-      "resourceTypes": [ # Required. Type of the resource to which the binding should attach. Limited to 1 resource type.
+      "parent": "A String", # Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.
+      "resourceTypes": [ # Required. The types of resources to which the binding should attach. Limited to 1 resource type.
         "A String",
       ],
     },
@@ -318,92 +318,92 @@ 
Method Details

   "labels": { # Optional. Set of labels associated with the `ExtensionBinding` resource. The format must comply with [the following requirements](https://cloud.google.com/compute/docs/labeling-resources#requirements).
     "a_key": "A String",
   },
-  "matchConditions": [ # Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.
+  "matchConditions": [ # Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.
     { # Conditions to match against the incoming request.
       "to": { # Describes properties of one or more destinations of a request. # Optional. Describes properties of a destination of a request. If specified, the extension will only be invoked on requests to destinations that match the specified criteria.
-        "destination": { # Describes properties of a single destination. # Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified.
+        "destination": { # Describes properties of a single destination. # Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
         "notDestination": { # Describes properties of a single destination. # Optional. Describes the negated properties of the request destination. Extension will not be invoked on requests that match the criteria specified in this field. At least one of destination or not_destination must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
@@ -411,18 +411,18 @@ 
Method Details

     },
   ],
   "name": "A String", # Identifier. Name of the `ExtensionBinding` resource in the following format: `projects/{project}/locations/{location}/extensionBindings/{extension_binding}`.
-  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.
-  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))
-  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request.
+  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.
+  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.
+  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.
     "a_key": "A String",
   },
-  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources.
-    "resources": [ # Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.
+  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached.
+    "resources": [ # Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.
       "A String",
     ],
     "scope": { # Specifies the scope of resources to which this binding should attach. # Optional. Specifies the scope of resources to which this binding should attach. Exactly one of `resources` or `scope` must be set.
-      "parent": "A String", # Required. Parent resource name specification, in the format: `projects/{project_number}`.
-      "resourceTypes": [ # Required. Type of the resource to which the binding should attach. Limited to 1 resource type.
+      "parent": "A String", # Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.
+      "resourceTypes": [ # Required. The types of resources to which the binding should attach. Limited to 1 resource type.
         "A String",
       ],
     },
@@ -457,92 +457,92 @@ 
Method Details

       "labels": { # Optional. Set of labels associated with the `ExtensionBinding` resource. The format must comply with [the following requirements](https://cloud.google.com/compute/docs/labeling-resources#requirements).
         "a_key": "A String",
       },
-      "matchConditions": [ # Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.
+      "matchConditions": [ # Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.
         { # Conditions to match against the incoming request.
           "to": { # Describes properties of one or more destinations of a request. # Optional. Describes properties of a destination of a request. If specified, the extension will only be invoked on requests to destinations that match the specified criteria.
-            "destination": { # Describes properties of a single destination. # Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified.
+            "destination": { # Describes properties of a single destination. # Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified.
               "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-                "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+                "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
                   { # Determines how an HTTP header should be matched.
                     "name": "A String", # Required. Specifies the name of the header in the request.
                     "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                      "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                      "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                      "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                      "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                      "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                      "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                      "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                      "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                      "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                      "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                     },
                   },
                 ],
               },
               "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
               "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
               "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
             },
             "notDestination": { # Describes properties of a single destination. # Optional. Describes the negated properties of the request destination. Extension will not be invoked on requests that match the criteria specified in this field. At least one of destination or not_destination must be specified.
               "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-                "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+                "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
                   { # Determines how an HTTP header should be matched.
                     "name": "A String", # Required. Specifies the name of the header in the request.
                     "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                      "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                      "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                      "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                      "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                      "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                      "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                      "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                      "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                      "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                      "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                     },
                   },
                 ],
               },
               "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
               "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
               "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
                 { # Specifies matching logic for string values.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               ],
             },
@@ -550,18 +550,18 @@ 
Method Details

         },
       ],
       "name": "A String", # Identifier. Name of the `ExtensionBinding` resource in the following format: `projects/{project}/locations/{location}/extensionBindings/{extension_binding}`.
-      "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.
-      "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))
-      "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request.
+      "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.
+      "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.
+      "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.
         "a_key": "A String",
       },
-      "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources.
-        "resources": [ # Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.
+      "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached.
+        "resources": [ # Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.
           "A String",
         ],
         "scope": { # Specifies the scope of resources to which this binding should attach. # Optional. Specifies the scope of resources to which this binding should attach. Exactly one of `resources` or `scope` must be set.
-          "parent": "A String", # Required. Parent resource name specification, in the format: `projects/{project_number}`.
-          "resourceTypes": [ # Required. Type of the resource to which the binding should attach. Limited to 1 resource type.
+          "parent": "A String", # Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.
+          "resourceTypes": [ # Required. The types of resources to which the binding should attach. Limited to 1 resource type.
             "A String",
           ],
         },
@@ -607,92 +607,92 @@ 
Method Details

   "labels": { # Optional. Set of labels associated with the `ExtensionBinding` resource. The format must comply with [the following requirements](https://cloud.google.com/compute/docs/labeling-resources#requirements).
     "a_key": "A String",
   },
-  "matchConditions": [ # Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.
+  "matchConditions": [ # Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.
     { # Conditions to match against the incoming request.
       "to": { # Describes properties of one or more destinations of a request. # Optional. Describes properties of a destination of a request. If specified, the extension will only be invoked on requests to destinations that match the specified criteria.
-        "destination": { # Describes properties of a single destination. # Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified.
+        "destination": { # Describes properties of a single destination. # Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
         "notDestination": { # Describes properties of a single destination. # Optional. Describes the negated properties of the request destination. Extension will not be invoked on requests that match the criteria specified in this field. At least one of destination or not_destination must be specified.
           "headerSet": { # Describes a set of HTTP headers to match against. # Optional. A set of HTTP headers to match against. If not specified, requests with any headers are matched.
-            "headers": [ # Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.
+            "headers": [ # Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.
               { # Determines how an HTTP header should be matched.
                 "name": "A String", # Required. Specifies the name of the header in the request.
                 "value": { # Specifies matching logic for string values. # Optional. Specifies how the header match will be performed.
-                  "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-                  "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-                  "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-                  "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+                  "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+                  "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+                  "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+                  "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+                  "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
                 },
               },
             ],
           },
           "hosts": [ # Optional. A list of HTTP Hosts to match against. Limited to 10 hosts. If not specified, any host is allowed. If specified, a match occurs if any of the hosts matches the host value in the request.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "paths": [ # Optional. A list of paths to match against. Limited to 10 paths. If not specified, any path is allowed. Note that this path match includes the query parameters. For gRPC services, this should be a fully-qualified name of the form /package.service/method.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
           "resources": [ # Optional. A list of non-empty strings whose value is matched against the resource to which a request is sent (e.g., an Agent in AiApplication). If not specified, any resource is allowed. If specified, a match occurs if any of the resources matches the resource value in the request. Limited to 5 resources. When matching against resources in the AgentRegistry, use the URNs of the registry resources.
             { # Specifies matching logic for string values.
-              "contains": "A String", # Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``
-              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.
-              "ignoreCase": True or False, # Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.
-              "prefix": "A String", # Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``
-              "suffix": "A String", # Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``
+              "contains": "A String", # Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.
+              "exact": "A String", # Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.
+              "ignoreCase": True or False, # Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.
+              "prefix": "A String", # Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.
+              "suffix": "A String", # Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.
             },
           ],
         },
@@ -700,18 +700,18 @@ 
Method Details

     },
   ],
   "name": "A String", # Identifier. Name of the `ExtensionBinding` resource in the following format: `projects/{project}/locations/{location}/extensionBindings/{extension_binding}`.
-  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.
-  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))
-  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request.
+  "priority": 42, # Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.
+  "producerExtension": "A String", # Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.
+  "producerMetadata": { # Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.
     "a_key": "A String",
   },
-  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources.
-    "resources": [ # Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.
+  "target": { # Specifies a list of targets to which this `ExtensionBinding` should attach. # Required. Specifies a target to which this `ExtensionBinding` should be attached.
+    "resources": [ # Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.
       "A String",
     ],
     "scope": { # Specifies the scope of resources to which this binding should attach. # Optional. Specifies the scope of resources to which this binding should attach. Exactly one of `resources` or `scope` must be set.
-      "parent": "A String", # Required. Parent resource name specification, in the format: `projects/{project_number}`.
-      "resourceTypes": [ # Required. Type of the resource to which the binding should attach. Limited to 1 resource type.
+      "parent": "A String", # Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.
+      "resourceTypes": [ # Required. The types of resources to which the binding should attach. Limited to 1 resource type.
         "A String",
       ],
     },
diff --git a/docs/dyn/osconfig_v2.folders.locations.global_.policyOrchestrators.html b/docs/dyn/osconfig_v2.folders.locations.global_.policyOrchestrators.html
index 2ad1fda316..33cff3fe24 100644
--- a/docs/dyn/osconfig_v2.folders.locations.global_.policyOrchestrators.html
+++ b/docs/dyn/osconfig_v2.folders.locations.global_.policyOrchestrators.html
@@ -347,7 +347,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -727,7 +727,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1047,7 +1047,7 @@ 
Method Details

         },
       },
       "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-        "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+        "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
           { # Selector for the resources in scope of orchestration.
             "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
               "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1374,7 +1374,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
diff --git a/docs/dyn/osconfig_v2.organizations.locations.global_.policyOrchestrators.html b/docs/dyn/osconfig_v2.organizations.locations.global_.policyOrchestrators.html
index c3856ef861..dcb4beb9a8 100644
--- a/docs/dyn/osconfig_v2.organizations.locations.global_.policyOrchestrators.html
+++ b/docs/dyn/osconfig_v2.organizations.locations.global_.policyOrchestrators.html
@@ -347,7 +347,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -727,7 +727,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1047,7 +1047,7 @@ 
Method Details

         },
       },
       "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-        "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+        "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
           { # Selector for the resources in scope of orchestration.
             "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
               "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1374,7 +1374,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
diff --git a/docs/dyn/osconfig_v2.projects.locations.global_.policyOrchestrators.html b/docs/dyn/osconfig_v2.projects.locations.global_.policyOrchestrators.html
index 698673fd1b..c94fa1484e 100644
--- a/docs/dyn/osconfig_v2.projects.locations.global_.policyOrchestrators.html
+++ b/docs/dyn/osconfig_v2.projects.locations.global_.policyOrchestrators.html
@@ -347,7 +347,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -727,7 +727,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1047,7 +1047,7 @@ 
Method Details

         },
       },
       "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-        "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+        "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
           { # Selector for the resources in scope of orchestration.
             "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
               "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1374,7 +1374,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
diff --git a/docs/dyn/osconfig_v2beta.folders.locations.global_.policyOrchestrators.html b/docs/dyn/osconfig_v2beta.folders.locations.global_.policyOrchestrators.html
index e733731241..600f565e4f 100644
--- a/docs/dyn/osconfig_v2beta.folders.locations.global_.policyOrchestrators.html
+++ b/docs/dyn/osconfig_v2beta.folders.locations.global_.policyOrchestrators.html
@@ -347,7 +347,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -727,7 +727,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1047,7 +1047,7 @@ 
Method Details

         },
       },
       "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-        "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+        "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
           { # Selector for the resources in scope of orchestration.
             "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
               "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1374,7 +1374,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
diff --git a/docs/dyn/osconfig_v2beta.organizations.locations.global_.policyOrchestrators.html b/docs/dyn/osconfig_v2beta.organizations.locations.global_.policyOrchestrators.html
index 03e6817261..c4336d0fe1 100644
--- a/docs/dyn/osconfig_v2beta.organizations.locations.global_.policyOrchestrators.html
+++ b/docs/dyn/osconfig_v2beta.organizations.locations.global_.policyOrchestrators.html
@@ -347,7 +347,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -727,7 +727,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1047,7 +1047,7 @@ 
Method Details

         },
       },
       "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-        "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+        "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
           { # Selector for the resources in scope of orchestration.
             "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
               "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1374,7 +1374,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
diff --git a/docs/dyn/osconfig_v2beta.projects.locations.global_.policyOrchestrators.html b/docs/dyn/osconfig_v2beta.projects.locations.global_.policyOrchestrators.html
index a233eb20f9..612ba3a999 100644
--- a/docs/dyn/osconfig_v2beta.projects.locations.global_.policyOrchestrators.html
+++ b/docs/dyn/osconfig_v2beta.projects.locations.global_.policyOrchestrators.html
@@ -347,7 +347,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -727,7 +727,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1047,7 +1047,7 @@ 
Method Details

         },
       },
       "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-        "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+        "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
           { # Selector for the resources in scope of orchestration.
             "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
               "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
@@ -1374,7 +1374,7 @@ 
Method Details

     },
   },
   "orchestrationScope": { # Defines a set of selectors which drive which resources are in scope of policy orchestration. # Optional. Defines scope for the orchestration, in context of the enclosing PolicyOrchestrator resource. Scope is expanded into a list of pairs, in which the rollout action will take place. Expansion starts with a Folder resource parenting the PolicyOrchestrator resource: - All the descendant projects are listed. - List of project is cross joined with a list of all available zones. - Resulting list of pairs is filtered according to the selectors.
-    "selectors": [ # Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
+    "selectors": [ # Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.
       { # Selector for the resources in scope of orchestration.
         "locationSelector": { # Selector containing locations in scope. # Selector for selecting locations.
           "includedLocations": [ # Optional. Names of the locations in scope. Format: `us-central1-a`
diff --git a/docs/dyn/sheets_v4.spreadsheets.html b/docs/dyn/sheets_v4.spreadsheets.html
index 14479220ff..d168c75b3a 100644
--- a/docs/dyn/sheets_v4.spreadsheets.html
+++ b/docs/dyn/sheets_v4.spreadsheets.html
@@ -115,7 +115,7 @@ 
Method Details

     The object takes the form of:
 
 { # The request for updating any aspect of a spreadsheet.
-  "commentsViewMode": "A String", # The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. Meaningful only if include_spreadsheet_in_response is 'true'. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. Meaningful only if include_spreadsheet_in_response is 'true'.
   "includeSpreadsheetInResponse": True or False, # Determines if the update response should include the spreadsheet resource.
   "requests": [ # A list of updates to apply to the spreadsheet. Requests will be applied in the order they are specified. If any request is not valid, no requests will be applied.
     { # A single kind of update to apply to a spreadsheet.
@@ -1930,11 +1930,11 @@ 
Method Details

           },
         },
       },
-      "addCommentReply": { # Inserts a reply Post into a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview). # Adds a reply to a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "addCommentReply": { # Inserts a reply Post into a CommentThread. # Adds a reply to a CommentThread.
         "commentId": "A String", # The ID of the CommentThread to add the reply to.
-        "post": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The Post representing the reply.
+        "post": { # Represents a single post in a comment thread. # The Post representing the reply.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -3522,10 +3522,10 @@ 
Method Details

       "deleteBanding": { # Removes the banded range with the given ID from the spreadsheet. # Removes a banded range
         "bandedRangeId": 42, # The ID of the banded range to delete.
       },
-      "deleteComment": { # Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. [Developer Preview](https://developers.google.com/workspace/preview). # Deletes a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "deleteComment": { # Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. # Deletes a CommentThread.
         "commentId": "A String", # The ID of the CommentThread that is being deleted.
       },
-      "deleteCommentReply": { # Deletes a reply Post from a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains a comment action. - The reply post contains an assignee. [Developer Preview](https://developers.google.com/workspace/preview). # Deletes a reply Post from a CommentThread [Developer Preview](https://developers.google.com/workspace/preview).
+      "deleteCommentReply": { # Deletes a reply Post from a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains a comment action. - The reply post contains an assignee. # Deletes a reply Post from a CommentThread
         "commentId": "A String", # The ID of the CommentThread which the post belongs to.
         "postId": "A String", # The ID of the reply Post being deleted.
       },
@@ -3654,7 +3654,7 @@ 
Method Details

         "searchByRegex": True or False, # True if the find value is a regex. The regular expression and replacement should follow Java regex rules at https://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html. The replacement string is allowed to refer to capturing groups. For example, if one cell has the contents `"Google Sheets"` and another has `"Google Docs"`, then searching for `"o.* (.*)"` with a replacement of `"$1 Rocks"` would change the contents of the cells to `"GSheets Rocks"` and `"GDocs Rocks"` respectively.
         "sheetId": 42, # The sheet to find/replace over.
       },
-      "insertComment": { # Inserts a CommentThread into the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview). # Inserts a CommentThread into the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+      "insertComment": { # Inserts a CommentThread into the spreadsheet. # Inserts a CommentThread into the spreadsheet.
         "assigneeEmailAddress": "A String", # Optional. The email address of the assignee of the comment. Leave empty for a non-assigned comment. May not exceed 2048 UTF-8 code units.
         "content": "A String", # The text of the comment, as plain text. This text content will be handled similarly to comments created in the Sheets editor. It will have similar behaviors for formatting, notifications, etc. This field cannot be empty, and must not exceed 2048 UTF-8 code units.
         "coordinate": { # A coordinate in a sheet. All indexes are zero-based. # The GridCoordinate in the sheet that is tied to this comment.
@@ -7367,7 +7367,7 @@ 
Method Details

           },
         },
       },
-      "updateCommentPost": { # Updates a Post in a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. [Developer Preview](https://developers.google.com/workspace/preview). # Updates an existing post (head post or reply) of a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "updateCommentPost": { # Updates a Post in a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. # Updates an existing post (head post or reply) of a CommentThread.
         "commentId": "A String", # The ID of the CommentThread which the post belongs to.
         "content": "A String", # The new text of the comment, as plain text. This text content will be handled similarly to comments created in the Sheets editor. It will have similar behaviors for formatting, notifications, etc. This field cannot be empty, and must not exceed 2048 UTF-8 code units.
         "postId": "A String", # The ID of the post being updated.
@@ -8407,7 +8407,7 @@ 
Method Details

   An object of the form:
 
     { # The reply for batch updating a spreadsheet.
-  "commentUpdateState": "A String", # Whether comment updates were applied in the batch request. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentUpdateState": "A String", # Whether comment updates were applied in the batch request.
   "replies": [ # The reply of the updates. This maps 1:1 with the updates, although replies to some requests may be empty.
     { # A single response from an update.
       "addBanding": { # The result of adding a banded range. # A reply from adding a banded range.
@@ -10221,10 +10221,10 @@ 
Method Details

           },
         },
       },
-      "addCommentReply": { # The result of creating a reply. [Developer Preview](https://developers.google.com/workspace/preview). # The result of creating a reply. [Developer Preview](https://developers.google.com/workspace/preview).
-        "post": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The newly-inserted reply Post.
+      "addCommentReply": { # The result of creating a reply. # The result of creating a reply.
+        "post": { # Represents a single post in a comment thread. # The newly-inserted reply Post.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11263,13 +11263,13 @@ 
Method Details

         "sheetsChanged": 42, # The number of sheets changed.
         "valuesChanged": 42, # The number of non-formula cells changed.
       },
-      "insertComment": { # The result of creating a comment. [Developer Preview](https://developers.google.com/workspace/preview). # The result of creating a comment. [Developer Preview](https://developers.google.com/workspace/preview).
-        "commentThread": { # Represents a single comment thread inside a spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview). # The newly-inserted comment thread.
+      "insertComment": { # The result of creating a comment. # The result of creating a comment.
+        "commentThread": { # Represents a single comment thread inside a spreadsheet. # The newly-inserted comment thread.
           "anchorId": "A String", # The ID of the CommentAnchor in the sheet that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11287,9 +11287,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the spreadsheet when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11882,13 +11882,13 @@ 
Method Details

   ],
   "spreadsheetId": "A String", # The spreadsheet the updates were applied to.
   "updatedSpreadsheet": { # Resource that represents a spreadsheet. # The spreadsheet after updates were applied. This is only set if BatchUpdateSpreadsheetRequest.include_spreadsheet_in_response is `true`.
-    "comments": [ # The comment threads associated with the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
-      { # Represents a single comment thread inside a spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+    "comments": [ # The comment threads associated with the spreadsheet.
+      { # Represents a single comment thread inside a spreadsheet.
         "anchorId": "A String", # The ID of the CommentAnchor in the sheet that this thread is tied to.
         "commentId": "A String", # The unique ID of the comment thread.
-        "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+        "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11906,9 +11906,9 @@ 
Method Details

         },
         "plainTextQuote": "A String", # The quoted text from the spreadsheet when the comment was created, formatted as plain-text.
         "replies": [ # Replies to the head post.
-          { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+          { # Represents a single post in a comment thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11928,7 +11928,7 @@ 
Method Details

         "status": "A String", # Whether the thread is open or resolved.
       },
     ],
-    "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+    "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet.
     "dataSourceSchedules": [ # Output only. A list of data source refresh schedules.
       { # Schedule for refreshing the data source. Data sources in the spreadsheet are refreshed within a time interval. You can specify the start time by clicking the Scheduled Refresh button in the Sheets editor, but the interval is fixed at 4 hours. For example, if you specify a start time of 8 AM , the refresh will take place between 8 AM and 12 PM every day.
         "dailySchedule": { # A schedule for data to refresh every day in a given time interval. # Daily refresh schedule.
@@ -14186,8 +14186,8 @@ 
Method Details

             },
           },
         ],
-        "commentAnchors": [ # The comment anchors on this sheet. [Developer Preview](https://developers.google.com/workspace/preview).
-          { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview).
+        "commentAnchors": [ # The comment anchors on this sheet.
+          { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location.
             "anchorId": "A String", # The unique ID of the comment anchor. Output only.
             "range": { # A range on a sheet. All indexes are zero-based. Indexes are half open, i.e. the start index is inclusive and the end index is exclusive -- [start_index, end_index). Missing indexes indicate the range is unbounded on that side. For example, if `"Sheet1"` is sheet ID 123456, then: `Sheet1!A1:A1 == sheet_id: 123456, start_row_index: 0, end_row_index: 1, start_column_index: 0, end_column_index: 1` `Sheet1!A3:B4 == sheet_id: 123456, start_row_index: 2, end_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1!A:B == sheet_id: 123456, start_column_index: 0, end_column_index: 2` `Sheet1!A5:B == sheet_id: 123456, start_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1 == sheet_id: 123456` The start index must always be less than or equal to the end index. If the start index equals the end index, then the range is empty. Empty ranges are typically not meaningful and are usually rendered in the UI as `#REF!`. # The coordinate range inside the sheet where this comment is anchored.
               "endColumnIndex": 42, # The end column (exclusive) of the range, or not set if unbounded.
@@ -15694,13 +15694,13 @@ 
Method Details

     The object takes the form of:
 
 { # Resource that represents a spreadsheet.
-  "comments": [ # The comment threads associated with the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Represents a single comment thread inside a spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+  "comments": [ # The comment threads associated with the spreadsheet.
+    { # Represents a single comment thread inside a spreadsheet.
       "anchorId": "A String", # The ID of the CommentAnchor in the sheet that this thread is tied to.
       "commentId": "A String", # The unique ID of the comment thread.
-      "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+      "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
         "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-        "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+        "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
           "anonymous": True or False, # Whether the user is anonymous.
           "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
           "me": True or False, # Whether the user is the authenticated user making the request.
@@ -15718,9 +15718,9 @@ 
Method Details

       },
       "plainTextQuote": "A String", # The quoted text from the spreadsheet when the comment was created, formatted as plain-text.
       "replies": [ # Replies to the head post.
-        { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents a single post in a comment thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -15740,7 +15740,7 @@ 
Method Details

       "status": "A String", # Whether the thread is open or resolved.
     },
   ],
-  "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet.
   "dataSourceSchedules": [ # Output only. A list of data source refresh schedules.
     { # Schedule for refreshing the data source. Data sources in the spreadsheet are refreshed within a time interval. You can specify the start time by clicking the Scheduled Refresh button in the Sheets editor, but the interval is fixed at 4 hours. For example, if you specify a start time of 8 AM , the refresh will take place between 8 AM and 12 PM every day.
       "dailySchedule": { # A schedule for data to refresh every day in a given time interval. # Daily refresh schedule.
@@ -17998,8 +17998,8 @@ 
Method Details

           },
         },
       ],
-      "commentAnchors": [ # The comment anchors on this sheet. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # The comment anchors on this sheet.
+        { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location.
           "anchorId": "A String", # The unique ID of the comment anchor. Output only.
           "range": { # A range on a sheet. All indexes are zero-based. Indexes are half open, i.e. the start index is inclusive and the end index is exclusive -- [start_index, end_index). Missing indexes indicate the range is unbounded on that side. For example, if `"Sheet1"` is sheet ID 123456, then: `Sheet1!A1:A1 == sheet_id: 123456, start_row_index: 0, end_row_index: 1, start_column_index: 0, end_column_index: 1` `Sheet1!A3:B4 == sheet_id: 123456, start_row_index: 2, end_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1!A:B == sheet_id: 123456, start_column_index: 0, end_column_index: 2` `Sheet1!A5:B == sheet_id: 123456, start_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1 == sheet_id: 123456` The start index must always be less than or equal to the end index. If the start index equals the end index, then the range is empty. Empty ranges are typically not meaningful and are usually rendered in the UI as `#REF!`. # The coordinate range inside the sheet where this comment is anchored.
             "endColumnIndex": 42, # The end column (exclusive) of the range, or not set if unbounded.
@@ -19499,13 +19499,13 @@ 
Method Details

   An object of the form:
 
     { # Resource that represents a spreadsheet.
-  "comments": [ # The comment threads associated with the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Represents a single comment thread inside a spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+  "comments": [ # The comment threads associated with the spreadsheet.
+    { # Represents a single comment thread inside a spreadsheet.
       "anchorId": "A String", # The ID of the CommentAnchor in the sheet that this thread is tied to.
       "commentId": "A String", # The unique ID of the comment thread.
-      "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+      "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
         "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-        "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+        "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
           "anonymous": True or False, # Whether the user is anonymous.
           "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
           "me": True or False, # Whether the user is the authenticated user making the request.
@@ -19523,9 +19523,9 @@ 
Method Details

       },
       "plainTextQuote": "A String", # The quoted text from the spreadsheet when the comment was created, formatted as plain-text.
       "replies": [ # Replies to the head post.
-        { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents a single post in a comment thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -19545,7 +19545,7 @@ 
Method Details

       "status": "A String", # Whether the thread is open or resolved.
     },
   ],
-  "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet.
   "dataSourceSchedules": [ # Output only. A list of data source refresh schedules.
     { # Schedule for refreshing the data source. Data sources in the spreadsheet are refreshed within a time interval. You can specify the start time by clicking the Scheduled Refresh button in the Sheets editor, but the interval is fixed at 4 hours. For example, if you specify a start time of 8 AM , the refresh will take place between 8 AM and 12 PM every day.
       "dailySchedule": { # A schedule for data to refresh every day in a given time interval. # Daily refresh schedule.
@@ -21803,8 +21803,8 @@ 
Method Details

           },
         },
       ],
-      "commentAnchors": [ # The comment anchors on this sheet. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # The comment anchors on this sheet.
+        { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location.
           "anchorId": "A String", # The unique ID of the comment anchor. Output only.
           "range": { # A range on a sheet. All indexes are zero-based. Indexes are half open, i.e. the start index is inclusive and the end index is exclusive -- [start_index, end_index). Missing indexes indicate the range is unbounded on that side. For example, if `"Sheet1"` is sheet ID 123456, then: `Sheet1!A1:A1 == sheet_id: 123456, start_row_index: 0, end_row_index: 1, start_column_index: 0, end_column_index: 1` `Sheet1!A3:B4 == sheet_id: 123456, start_row_index: 2, end_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1!A:B == sheet_id: 123456, start_column_index: 0, end_column_index: 2` `Sheet1!A5:B == sheet_id: 123456, start_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1 == sheet_id: 123456` The start index must always be less than or equal to the end index. If the start index equals the end index, then the range is empty. Empty ranges are typically not meaningful and are usually rendered in the UI as `#REF!`. # The coordinate range inside the sheet where this comment is anchored.
             "endColumnIndex": 42, # The end column (exclusive) of the range, or not set if unbounded.
@@ -23302,7 +23302,7 @@ 
Method Details

 
 Args:
   spreadsheetId: string, The spreadsheet to request. (required)
-  commentsViewMode: string, The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. [Developer Preview](https://developers.google.com/workspace/preview).
+  commentsViewMode: string, The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used.
     Allowed values
       COMMENTS_VIEW_MODE_UNSPECIFIED - The CommentsViewMode is unspecified; COMMENTS_VIEW_MODE_OMITTED is applied.
       COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS - The CommentsViewMode applied to the returned spreadsheet depends on the user's current access level. If the user only has view access, COMMENTS_VIEW_MODE_OMITTED is applied. Otherwise, COMMENTS_VIEW_MODE_INCLUDED is applied.
@@ -23320,13 +23320,13 @@ 
Method Details

   An object of the form:
 
     { # Resource that represents a spreadsheet.
-  "comments": [ # The comment threads associated with the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Represents a single comment thread inside a spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+  "comments": [ # The comment threads associated with the spreadsheet.
+    { # Represents a single comment thread inside a spreadsheet.
       "anchorId": "A String", # The ID of the CommentAnchor in the sheet that this thread is tied to.
       "commentId": "A String", # The unique ID of the comment thread.
-      "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+      "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
         "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-        "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+        "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
           "anonymous": True or False, # Whether the user is anonymous.
           "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
           "me": True or False, # Whether the user is the authenticated user making the request.
@@ -23344,9 +23344,9 @@ 
Method Details

       },
       "plainTextQuote": "A String", # The quoted text from the spreadsheet when the comment was created, formatted as plain-text.
       "replies": [ # Replies to the head post.
-        { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents a single post in a comment thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -23366,7 +23366,7 @@ 
Method Details

       "status": "A String", # Whether the thread is open or resolved.
     },
   ],
-  "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet.
   "dataSourceSchedules": [ # Output only. A list of data source refresh schedules.
     { # Schedule for refreshing the data source. Data sources in the spreadsheet are refreshed within a time interval. You can specify the start time by clicking the Scheduled Refresh button in the Sheets editor, but the interval is fixed at 4 hours. For example, if you specify a start time of 8 AM , the refresh will take place between 8 AM and 12 PM every day.
       "dailySchedule": { # A schedule for data to refresh every day in a given time interval. # Daily refresh schedule.
@@ -25624,8 +25624,8 @@ 
Method Details

           },
         },
       ],
-      "commentAnchors": [ # The comment anchors on this sheet. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # The comment anchors on this sheet.
+        { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location.
           "anchorId": "A String", # The unique ID of the comment anchor. Output only.
           "range": { # A range on a sheet. All indexes are zero-based. Indexes are half open, i.e. the start index is inclusive and the end index is exclusive -- [start_index, end_index). Missing indexes indicate the range is unbounded on that side. For example, if `"Sheet1"` is sheet ID 123456, then: `Sheet1!A1:A1 == sheet_id: 123456, start_row_index: 0, end_row_index: 1, start_column_index: 0, end_column_index: 1` `Sheet1!A3:B4 == sheet_id: 123456, start_row_index: 2, end_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1!A:B == sheet_id: 123456, start_column_index: 0, end_column_index: 2` `Sheet1!A5:B == sheet_id: 123456, start_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1 == sheet_id: 123456` The start index must always be less than or equal to the end index. If the start index equals the end index, then the range is empty. Empty ranges are typically not meaningful and are usually rendered in the UI as `#REF!`. # The coordinate range inside the sheet where this comment is anchored.
             "endColumnIndex": 42, # The end column (exclusive) of the range, or not set if unbounded.
@@ -27127,7 +27127,7 @@ 
Method Details

     The object takes the form of:
 
 { # The request for retrieving a Spreadsheet.
-  "commentsViewMode": "A String", # The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used.
   "dataFilters": [ # The DataFilters used to select which ranges to retrieve from the spreadsheet.
     { # Filter that describes what data should be selected or returned from a request. For more information, see [Read, write, and search metadata](https://developers.google.com/workspace/sheets/api/guides/metadata).
       "a1Range": "A String", # Selects data that matches the specified A1 range.
@@ -27172,13 +27172,13 @@ 
Method Details

   An object of the form:
 
     { # Resource that represents a spreadsheet.
-  "comments": [ # The comment threads associated with the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Represents a single comment thread inside a spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+  "comments": [ # The comment threads associated with the spreadsheet.
+    { # Represents a single comment thread inside a spreadsheet.
       "anchorId": "A String", # The ID of the CommentAnchor in the sheet that this thread is tied to.
       "commentId": "A String", # The unique ID of the comment thread.
-      "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+      "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
         "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-        "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+        "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
           "anonymous": True or False, # Whether the user is anonymous.
           "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
           "me": True or False, # Whether the user is the authenticated user making the request.
@@ -27196,9 +27196,9 @@ 
Method Details

       },
       "plainTextQuote": "A String", # The quoted text from the spreadsheet when the comment was created, formatted as plain-text.
       "replies": [ # Replies to the head post.
-        { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents a single post in a comment thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -27218,7 +27218,7 @@ 
Method Details

       "status": "A String", # Whether the thread is open or resolved.
     },
   ],
-  "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # Output only. The comments view mode applied to the spreadsheet.
   "dataSourceSchedules": [ # Output only. A list of data source refresh schedules.
     { # Schedule for refreshing the data source. Data sources in the spreadsheet are refreshed within a time interval. You can specify the start time by clicking the Scheduled Refresh button in the Sheets editor, but the interval is fixed at 4 hours. For example, if you specify a start time of 8 AM , the refresh will take place between 8 AM and 12 PM every day.
       "dailySchedule": { # A schedule for data to refresh every day in a given time interval. # Daily refresh schedule.
@@ -29476,8 +29476,8 @@ 
Method Details

           },
         },
       ],
-      "commentAnchors": [ # The comment anchors on this sheet. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # The comment anchors on this sheet.
+        { # A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location.
           "anchorId": "A String", # The unique ID of the comment anchor. Output only.
           "range": { # A range on a sheet. All indexes are zero-based. Indexes are half open, i.e. the start index is inclusive and the end index is exclusive -- [start_index, end_index). Missing indexes indicate the range is unbounded on that side. For example, if `"Sheet1"` is sheet ID 123456, then: `Sheet1!A1:A1 == sheet_id: 123456, start_row_index: 0, end_row_index: 1, start_column_index: 0, end_column_index: 1` `Sheet1!A3:B4 == sheet_id: 123456, start_row_index: 2, end_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1!A:B == sheet_id: 123456, start_column_index: 0, end_column_index: 2` `Sheet1!A5:B == sheet_id: 123456, start_row_index: 4, start_column_index: 0, end_column_index: 2` `Sheet1 == sheet_id: 123456` The start index must always be less than or equal to the end index. If the start index equals the end index, then the range is empty. Empty ranges are typically not meaningful and are usually rendered in the UI as `#REF!`. # The coordinate range inside the sheet where this comment is anchored.
             "endColumnIndex": 42, # The end column (exclusive) of the range, or not set if unbounded.
diff --git a/docs/dyn/slides_v1.presentations.html b/docs/dyn/slides_v1.presentations.html
index d23b5d2a73..df7782c8f4 100644
--- a/docs/dyn/slides_v1.presentations.html
+++ b/docs/dyn/slides_v1.presentations.html
@@ -104,11 +104,11 @@ 
Method Details

 { # Request message for PresentationsService.BatchUpdatePresentation.
   "requests": [ # A list of updates to apply to the presentation.
     { # A single kind of update to apply to a presentation.
-      "addCommentReply": { # Inserts a reply Post into a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview). # Adds a reply to a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "addCommentReply": { # Inserts a reply Post into a CommentThread. # Adds a reply to a CommentThread.
         "commentId": "A String", # The ID of the CommentThread to add the reply to.
-        "post": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The Post representing the reply.
+        "post": { # Represents a single post in a comment thread. # The Post representing the reply.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -318,10 +318,10 @@ 
Method Details

         "objectId": "A String", # A user-supplied object ID. If you specify an ID, it must be unique among all pages and page elements in the presentation. The ID must start with an alphanumeric character or an underscore (matches regex `[a-zA-Z0-9_]`); remaining characters may include those as well as a hyphen or colon (matches regex `[a-zA-Z0-9_-:]`). The length of the ID must not be less than 5 or greater than 50. If you don't specify an ID, a unique one is generated.
         "source": "A String", # The video source.
       },
-      "deleteComment": { # Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. [Developer Preview](https://developers.google.com/workspace/preview). # Deletes a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "deleteComment": { # Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. # Deletes a CommentThread.
         "commentId": "A String", # The ID of the CommentThread that is being deleted.
       },
-      "deleteCommentReply": { # Deletes a reply Post from a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains a comment action. - The reply post contains an assignee. [Developer Preview](https://developers.google.com/workspace/preview). # Deletes a reply Post from a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "deleteCommentReply": { # Deletes a reply Post from a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains a comment action. - The reply post contains an assignee. # Deletes a reply Post from a CommentThread.
         "commentId": "A String", # The ID of the CommentThread which the post belongs to.
         "postId": "A String", # The ID of the reply Post being deleted.
       },
@@ -378,11 +378,11 @@ 
Method Details

         ],
         "groupObjectId": "A String", # A user-supplied object ID for the group to be created. If you specify an ID, it must be unique among all pages and page elements in the presentation. The ID must start with an alphanumeric character or an underscore (matches regex `[a-zA-Z0-9_]`); remaining characters may include those as well as a hyphen or colon (matches regex `[a-zA-Z0-9_-:]`). The length of the ID must not be less than 5 or greater than 50. If you don't specify an ID, a unique one is generated.
       },
-      "insertComment": { # Inserts a CommentThread into the presentation. [Developer Preview](https://developers.google.com/workspace/preview). # Inserts a CommentThread into the presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "insertComment": { # Inserts a CommentThread into the presentation. # Inserts a CommentThread into the presentation.
         "assigneeEmailAddress": "A String", # Optional. The email address of the assignee of the comment. Leave empty for a non-assigned comment. May not exceed 2048 UTF-8 code units.
         "content": "A String", # The text of the comment, as plain text. This text content will be handled similarly to comments created in the Slides editor. It will have similar behaviors for formatting, notifications, etc. This field cannot be empty, and must not exceed 2048 UTF-8 code units.
         "objectId": "A String", # The object ID of the Page or PageElement that is tied to this comment. If the specified object_id is a Group, the comment will be anchored to at most 100 of the group's non-group descendants.
-        "shapeTextAnchor": { # An anchor to a specific range of text within a Shape's text. [Developer Preview](https://developers.google.com/workspace/preview). To insert comments in speaker notes, use the ShapeTextAnchor with the speaker notes object ID. # Anchors a comment to a specific range of text within a Shape.
+        "shapeTextAnchor": { # An anchor to a specific range of text within a Shape's text. To insert comments in speaker notes, use the ShapeTextAnchor with the speaker notes object ID. # Anchors a comment to a specific range of text within a Shape.
           "objectId": "A String", # The object ID of the page element containing the text.
           "textRange": { # Specifies a contiguous range of an indexed collection, such as characters in text. # The text range for the anchor.
             "endIndex": 42, # The optional zero-based index of the end of the collection. Required for `FIXED_RANGE` ranges.
@@ -390,7 +390,7 @@ 
Method Details

             "type": "A String", # The type of range.
           },
         },
-        "tableAnchor": { # An anchor to a specific range of cells within a Table. Used to anchor a comment to all of the text in each cell in a range within a table. [Developer Preview](https://developers.google.com/workspace/preview). # Anchors a comment to a specific range of cells within a Table. Returns a 400 bad request error if no cells within the range contain text.
+        "tableAnchor": { # An anchor to a specific range of cells within a Table. Used to anchor a comment to all of the text in each cell in a range within a table. # Anchors a comment to a specific range of cells within a Table. Returns a 400 bad request error if no cells within the range contain text.
           "objectId": "A String", # The object ID of the table.
           "tableRange": { # A table range represents a reference to a subset of a table. It's important to note that the cells specified by a table range do not necessarily form a rectangle. For example, let's say we have a 3 x 3 table where all the cells of the last row are merged together. The table looks like this: [ ] A table range with location = (0, 0), row span = 3 and column span = 2 specifies the following cells: x x [ x x x ] # The range of cells in the table to apply the anchor to. If omitted, all cells in the table will be used for the anchor.
             "columnSpan": 42, # The column span of the table range.
@@ -401,7 +401,7 @@ 
Method Details

             "rowSpan": 42, # The row span of the table range.
           },
         },
-        "tableCellTextAnchor": { # An anchor to a specific range of text within a TableCell's TextElement. [Developer Preview](https://developers.google.com/workspace/preview). # Anchors a comment to a specific range of text within a single cell in a Table.
+        "tableCellTextAnchor": { # An anchor to a specific range of text within a TableCell's TextElement. # Anchors a comment to a specific range of text within a single cell in a Table.
           "cellLocation": { # A location of a single table cell within a table. # The location of the cell in the table.
             "columnIndex": 42, # The 0-based column index.
             "rowIndex": 42, # The 0-based row index.
@@ -516,7 +516,7 @@ 
Method Details

           "rowSpan": 42, # The row span of the table range.
         },
       },
-      "updateCommentPost": { # Updates a Post in a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. [Developer Preview](https://developers.google.com/workspace/preview). # Updates an existing post (head post or reply) of a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).
+      "updateCommentPost": { # Updates a Post in a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. # Updates an existing post (head post or reply) of a CommentThread.
         "commentId": "A String", # The ID of the CommentThread which the post belongs to.
         "content": "A String", # The new text of the comment, as plain text. This text content will be handled similarly to comments created in the Slides editor. It will have similar behaviors for formatting, notifications, etc. This field cannot be empty, and must not exceed 2048 UTF-8 code units.
         "postId": "A String", # The ID of the post being updated.
@@ -850,29 +850,29 @@ 
Method Details

           "layoutObjectId": "A String", # The object ID of the layout that this slide is based on. This property is read-only.
           "masterObjectId": "A String", # The object ID of the master that this slide is based on. This property is read-only.
           "notesPage": { # A page in a presentation. # The notes page that this slide is associated with. It defines the visual appearance of a notes page when printing or exporting slides with speaker notes. A notes page inherits properties from the notes master. The placeholder shape with type BODY on the notes page contains the speaker notes for this slide. The ID of this shape is identified by the speakerNotesObjectId field. The notes page is read-only except for the text content and styles of the speaker notes shape. This property is read-only.
-            "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-              { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+            "commentAnchors": [ # Output only. The comment anchors present on the page.
+              { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
                 "anchorId": "A String", # Output only. The unique ID of the comment anchor.
                 "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-                  { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
                     "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-                    "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+                    "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                       "ranges": [ # A list of text ranges covered by the comment anchor.
-                        { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                        { # Specifies a contiguous range of text within a shape or table cell's text.
                           "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                           "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         },
                       ],
                     },
-                    "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+                    "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                       "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                        { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                        { # Represents text ranges within a table cell covered by a comment anchor.
                           "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                             "columnIndex": 42, # The 0-based column index.
                             "rowIndex": 42, # The 0-based row index.
                           },
                           "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                            { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                            { # Specifies a contiguous range of text within a shape or table cell's text.
                               "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                               "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                             },
@@ -884,13 +884,13 @@ 
Method Details

                 ],
               },
             ],
-            "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-              { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+            "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+              { # Represents a single comment thread inside a presentation.
                 "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
                 "commentId": "A String", # The unique ID of the comment thread.
-                "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+                "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
                   "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-                  "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+                  "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                     "anonymous": True or False, # Whether the user is anonymous.
                     "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                     "me": True or False, # Whether the user is the authenticated user making the request.
@@ -908,9 +908,9 @@ 
Method Details

                 },
                 "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
                 "replies": [ # Replies to the head post.
-                  { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents a single post in a comment thread.
                     "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-                    "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+                    "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                       "anonymous": True or False, # Whether the user is anonymous.
                       "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                       "me": True or False, # Whether the user is the authenticated user making the request.
@@ -930,7 +930,7 @@ 
Method Details

                 "status": "A String", # Whether the thread is open or resolved.
               },
             ],
-            "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+            "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
             "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
               "displayName": "A String", # The human-readable name of the layout.
               "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -2190,14 +2190,14 @@ 
Method Details

   An object of the form:
 
     { # Response message from a batch update.
-  "commentUpdateState": "A String", # Whether comment updates were applied in the batch request. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentUpdateState": "A String", # Whether comment updates were applied in the batch request.
   "presentationId": "A String", # The presentation the updates were applied to.
   "replies": [ # The reply of the updates. This maps 1:1 with the updates, although replies to some requests may be empty.
     { # A single response from an update.
-      "addCommentReply": { # The result of creating a reply. [Developer Preview](https://developers.google.com/workspace/preview). # The result of creating a reply. [Developer Preview](https://developers.google.com/workspace/preview).
-        "post": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The newly-inserted reply Post.
+      "addCommentReply": { # The result of creating a reply. # The result of creating a reply.
+        "post": { # Represents a single post in a comment thread. # The newly-inserted reply Post.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -2241,13 +2241,13 @@ 
Method Details

       "groupObjects": { # The result of grouping objects. # The result of grouping objects.
         "objectId": "A String", # The object ID of the created group.
       },
-      "insertComment": { # The result of creating a comment. [Developer Preview](https://developers.google.com/workspace/preview). # The result of creating a comment. [Developer Preview](https://developers.google.com/workspace/preview).
-        "commentThread": { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview). # The newly-inserted comment thread.
+      "insertComment": { # The result of creating a comment. # The result of creating a comment.
+        "commentThread": { # Represents a single comment thread inside a presentation. # The newly-inserted comment thread.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -2265,9 +2265,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -2318,13 +2318,13 @@ 
Method Details

     The object takes the form of:
 
 { # A Google Slides presentation.
-  "comments": [ # Output only. The comment threads associated with the presentation. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+  "comments": [ # Output only. The comment threads associated with the presentation.
+    { # Represents a single comment thread inside a presentation.
       "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
       "commentId": "A String", # The unique ID of the comment thread.
-      "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+      "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
         "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-        "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+        "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
           "anonymous": True or False, # Whether the user is anonymous.
           "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
           "me": True or False, # Whether the user is the authenticated user making the request.
@@ -2342,9 +2342,9 @@ 
Method Details

       },
       "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
       "replies": [ # Replies to the head post.
-        { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents a single post in a comment thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -2364,32 +2364,32 @@ 
Method Details

       "status": "A String", # Whether the thread is open or resolved.
     },
   ],
-  "commentsViewMode": "A String", # Output only. The comments view mode applied to the presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # Output only. The comments view mode applied to the presentation.
   "layouts": [ # The layouts in the presentation. A layout is a template that determines how content is arranged and styled on the slides that inherit from that layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -2401,13 +2401,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -2425,9 +2425,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -2447,7 +2447,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -3512,29 +3512,29 @@ 
Method Details

   "locale": "A String", # The locale of the presentation, as an IETF BCP 47 language tag.
   "masters": [ # The slide masters in the presentation. A slide master contains all common page elements and the common properties for a set of layouts. They serve three purposes: - Placeholder shapes on a master contain the default text styles and shape properties of all placeholder shapes on pages that use that master. - The master page properties define the common page properties inherited by its layouts. - Any other shapes on the master slide appear on all slides using that master, regardless of their layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -3546,13 +3546,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -3570,9 +3570,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -3592,7 +3592,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -4655,29 +4655,29 @@ 
Method Details

     },
   ],
   "notesMaster": { # A page in a presentation. # The notes master in the presentation. It serves three purposes: - Placeholder shapes on a notes master contain the default text styles and shape properties of all placeholder shapes on notes pages. Specifically, a `SLIDE_IMAGE` placeholder shape contains the slide thumbnail, and a `BODY` placeholder shape contains the speaker notes. - The notes master page properties define the common page properties inherited by all notes pages. - Any other shapes on the notes master appear on all notes pages. The notes master is read-only.
-    "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-      { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+    "commentAnchors": [ # Output only. The comment anchors present on the page.
+      { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
         "anchorId": "A String", # Output only. The unique ID of the comment anchor.
         "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-          { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+          { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
             "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-            "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+            "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
               "ranges": [ # A list of text ranges covered by the comment anchor.
-                { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                { # Specifies a contiguous range of text within a shape or table cell's text.
                   "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                 },
               ],
             },
-            "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+            "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
               "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                { # Represents text ranges within a table cell covered by a comment anchor.
                   "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                     "columnIndex": 42, # The 0-based column index.
                     "rowIndex": 42, # The 0-based row index.
                   },
                   "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                    { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                    { # Specifies a contiguous range of text within a shape or table cell's text.
                       "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     },
@@ -4689,13 +4689,13 @@ 
Method Details

         ],
       },
     ],
-    "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-      { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+    "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+      { # Represents a single comment thread inside a presentation.
         "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
         "commentId": "A String", # The unique ID of the comment thread.
-        "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+        "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -4713,9 +4713,9 @@ 
Method Details

         },
         "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
         "replies": [ # Replies to the head post.
-          { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+          { # Represents a single post in a comment thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -4735,7 +4735,7 @@ 
Method Details

         "status": "A String", # Whether the thread is open or resolved.
       },
     ],
-    "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+    "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
     "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
       "displayName": "A String", # The human-readable name of the layout.
       "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -5810,29 +5810,29 @@ 
Method Details

   "revisionId": "A String", # Output only. The revision ID of the presentation. Can be used in update requests to assert the presentation revision hasn't changed since the last read operation. Only populated if the user has edit access to the presentation. The revision ID is not a sequential number but a nebulous string. The format of the revision ID may change over time, so it should be treated opaquely. A returned revision ID is only guaranteed to be valid for 24 hours after it has been returned and cannot be shared across users. If the revision ID is unchanged between calls, then the presentation has not changed. Conversely, a changed ID (for the same presentation and user) usually means the presentation has been updated. However, a changed ID can also be due to internal factors such as ID format changes.
   "slides": [ # The slides in the presentation. A slide inherits properties from a slide layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -5844,13 +5844,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -5868,9 +5868,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -5890,7 +5890,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -6964,13 +6964,13 @@ 
Method Details

   An object of the form:
 
     { # A Google Slides presentation.
-  "comments": [ # Output only. The comment threads associated with the presentation. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+  "comments": [ # Output only. The comment threads associated with the presentation.
+    { # Represents a single comment thread inside a presentation.
       "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
       "commentId": "A String", # The unique ID of the comment thread.
-      "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+      "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
         "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-        "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+        "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
           "anonymous": True or False, # Whether the user is anonymous.
           "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
           "me": True or False, # Whether the user is the authenticated user making the request.
@@ -6988,9 +6988,9 @@ 
Method Details

       },
       "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
       "replies": [ # Replies to the head post.
-        { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents a single post in a comment thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -7010,32 +7010,32 @@ 
Method Details

       "status": "A String", # Whether the thread is open or resolved.
     },
   ],
-  "commentsViewMode": "A String", # Output only. The comments view mode applied to the presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # Output only. The comments view mode applied to the presentation.
   "layouts": [ # The layouts in the presentation. A layout is a template that determines how content is arranged and styled on the slides that inherit from that layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -7047,13 +7047,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -7071,9 +7071,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -7093,7 +7093,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -8158,29 +8158,29 @@ 
Method Details

   "locale": "A String", # The locale of the presentation, as an IETF BCP 47 language tag.
   "masters": [ # The slide masters in the presentation. A slide master contains all common page elements and the common properties for a set of layouts. They serve three purposes: - Placeholder shapes on a master contain the default text styles and shape properties of all placeholder shapes on pages that use that master. - The master page properties define the common page properties inherited by its layouts. - Any other shapes on the master slide appear on all slides using that master, regardless of their layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -8192,13 +8192,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -8216,9 +8216,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -8238,7 +8238,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -9301,29 +9301,29 @@ 
Method Details

     },
   ],
   "notesMaster": { # A page in a presentation. # The notes master in the presentation. It serves three purposes: - Placeholder shapes on a notes master contain the default text styles and shape properties of all placeholder shapes on notes pages. Specifically, a `SLIDE_IMAGE` placeholder shape contains the slide thumbnail, and a `BODY` placeholder shape contains the speaker notes. - The notes master page properties define the common page properties inherited by all notes pages. - Any other shapes on the notes master appear on all notes pages. The notes master is read-only.
-    "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-      { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+    "commentAnchors": [ # Output only. The comment anchors present on the page.
+      { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
         "anchorId": "A String", # Output only. The unique ID of the comment anchor.
         "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-          { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+          { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
             "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-            "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+            "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
               "ranges": [ # A list of text ranges covered by the comment anchor.
-                { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                { # Specifies a contiguous range of text within a shape or table cell's text.
                   "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                 },
               ],
             },
-            "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+            "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
               "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                { # Represents text ranges within a table cell covered by a comment anchor.
                   "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                     "columnIndex": 42, # The 0-based column index.
                     "rowIndex": 42, # The 0-based row index.
                   },
                   "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                    { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                    { # Specifies a contiguous range of text within a shape or table cell's text.
                       "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     },
@@ -9335,13 +9335,13 @@ 
Method Details

         ],
       },
     ],
-    "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-      { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+    "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+      { # Represents a single comment thread inside a presentation.
         "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
         "commentId": "A String", # The unique ID of the comment thread.
-        "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+        "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -9359,9 +9359,9 @@ 
Method Details

         },
         "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
         "replies": [ # Replies to the head post.
-          { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+          { # Represents a single post in a comment thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -9381,7 +9381,7 @@ 
Method Details

         "status": "A String", # Whether the thread is open or resolved.
       },
     ],
-    "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+    "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
     "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
       "displayName": "A String", # The human-readable name of the layout.
       "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -10456,29 +10456,29 @@ 
Method Details

   "revisionId": "A String", # Output only. The revision ID of the presentation. Can be used in update requests to assert the presentation revision hasn't changed since the last read operation. Only populated if the user has edit access to the presentation. The revision ID is not a sequential number but a nebulous string. The format of the revision ID may change over time, so it should be treated opaquely. A returned revision ID is only guaranteed to be valid for 24 hours after it has been returned and cannot be shared across users. If the revision ID is unchanged between calls, then the presentation has not changed. Conversely, a changed ID (for the same presentation and user) usually means the presentation has been updated. However, a changed ID can also be due to internal factors such as ID format changes.
   "slides": [ # The slides in the presentation. A slide inherits properties from a slide layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -10490,13 +10490,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -10514,9 +10514,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -10536,7 +10536,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -11608,7 +11608,7 @@ 
Method Details

 
 Args:
   presentationId: string, The ID of the presentation to retrieve. (required)
-  commentsViewMode: string, The comments view mode to apply to the presentation. This allows viewing the presentation with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. [Developer Preview](https://developers.google.com/workspace/preview).
+  commentsViewMode: string, The comments view mode to apply to the presentation. This allows viewing the presentation with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used.
     Allowed values
       COMMENTS_VIEW_MODE_UNSPECIFIED - The CommentsViewMode is unspecified; COMMENTS_VIEW_MODE_OMITTED is applied.
       COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS - The CommentsViewMode applied to the returned presentation depends on the user's current access level. If the user only has view access, COMMENTS_VIEW_MODE_OMITTED is applied. Otherwise, COMMENTS_VIEW_MODE_INCLUDED is applied.
@@ -11623,13 +11623,13 @@ 
Method Details

   An object of the form:
 
     { # A Google Slides presentation.
-  "comments": [ # Output only. The comment threads associated with the presentation. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+  "comments": [ # Output only. The comment threads associated with the presentation.
+    { # Represents a single comment thread inside a presentation.
       "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
       "commentId": "A String", # The unique ID of the comment thread.
-      "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+      "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
         "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-        "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+        "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
           "anonymous": True or False, # Whether the user is anonymous.
           "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
           "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11647,9 +11647,9 @@ 
Method Details

       },
       "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
       "replies": [ # Replies to the head post.
-        { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents a single post in a comment thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11669,32 +11669,32 @@ 
Method Details

       "status": "A String", # Whether the thread is open or resolved.
     },
   ],
-  "commentsViewMode": "A String", # Output only. The comments view mode applied to the presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # Output only. The comments view mode applied to the presentation.
   "layouts": [ # The layouts in the presentation. A layout is a template that determines how content is arranged and styled on the slides that inherit from that layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -11706,13 +11706,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11730,9 +11730,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -11752,7 +11752,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -12817,29 +12817,29 @@ 
Method Details

   "locale": "A String", # The locale of the presentation, as an IETF BCP 47 language tag.
   "masters": [ # The slide masters in the presentation. A slide master contains all common page elements and the common properties for a set of layouts. They serve three purposes: - Placeholder shapes on a master contain the default text styles and shape properties of all placeholder shapes on pages that use that master. - The master page properties define the common page properties inherited by its layouts. - Any other shapes on the master slide appear on all slides using that master, regardless of their layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -12851,13 +12851,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -12875,9 +12875,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -12897,7 +12897,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -13960,29 +13960,29 @@ 
Method Details

     },
   ],
   "notesMaster": { # A page in a presentation. # The notes master in the presentation. It serves three purposes: - Placeholder shapes on a notes master contain the default text styles and shape properties of all placeholder shapes on notes pages. Specifically, a `SLIDE_IMAGE` placeholder shape contains the slide thumbnail, and a `BODY` placeholder shape contains the speaker notes. - The notes master page properties define the common page properties inherited by all notes pages. - Any other shapes on the notes master appear on all notes pages. The notes master is read-only.
-    "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-      { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+    "commentAnchors": [ # Output only. The comment anchors present on the page.
+      { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
         "anchorId": "A String", # Output only. The unique ID of the comment anchor.
         "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-          { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+          { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
             "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-            "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+            "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
               "ranges": [ # A list of text ranges covered by the comment anchor.
-                { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                { # Specifies a contiguous range of text within a shape or table cell's text.
                   "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                 },
               ],
             },
-            "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+            "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
               "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                { # Represents text ranges within a table cell covered by a comment anchor.
                   "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                     "columnIndex": 42, # The 0-based column index.
                     "rowIndex": 42, # The 0-based row index.
                   },
                   "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                    { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                    { # Specifies a contiguous range of text within a shape or table cell's text.
                       "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     },
@@ -13994,13 +13994,13 @@ 
Method Details

         ],
       },
     ],
-    "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-      { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+    "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+      { # Represents a single comment thread inside a presentation.
         "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
         "commentId": "A String", # The unique ID of the comment thread.
-        "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+        "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -14018,9 +14018,9 @@ 
Method Details

         },
         "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
         "replies": [ # Replies to the head post.
-          { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+          { # Represents a single post in a comment thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -14040,7 +14040,7 @@ 
Method Details

         "status": "A String", # Whether the thread is open or resolved.
       },
     ],
-    "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+    "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
     "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
       "displayName": "A String", # The human-readable name of the layout.
       "masterObjectId": "A String", # The object ID of the master that this layout is based on.
@@ -15115,29 +15115,29 @@ 
Method Details

   "revisionId": "A String", # Output only. The revision ID of the presentation. Can be used in update requests to assert the presentation revision hasn't changed since the last read operation. Only populated if the user has edit access to the presentation. The revision ID is not a sequential number but a nebulous string. The format of the revision ID may change over time, so it should be treated opaquely. A returned revision ID is only guaranteed to be valid for 24 hours after it has been returned and cannot be shared across users. If the revision ID is unchanged between calls, then the presentation has not changed. Conversely, a changed ID (for the same presentation and user) usually means the presentation has been updated. However, a changed ID can also be due to internal factors such as ID format changes.
   "slides": [ # The slides in the presentation. A slide inherits properties from a slide layout.
     { # A page in a presentation.
-      "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentAnchors": [ # Output only. The comment anchors present on the page.
+        { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
           "anchorId": "A String", # Output only. The unique ID of the comment anchor.
           "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
               "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+              "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
                 "ranges": [ # A list of text ranges covered by the comment anchor.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
                 ],
               },
-              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+              "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
                 "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-                  { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Represents text ranges within a table cell covered by a comment anchor.
                     "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                       "columnIndex": 42, # The 0-based column index.
                       "rowIndex": 42, # The 0-based row index.
                     },
                     "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                      { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                      { # Specifies a contiguous range of text within a shape or table cell's text.
                         "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                         "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                       },
@@ -15149,13 +15149,13 @@ 
Method Details

           ],
         },
       ],
-      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-        { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+      "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+        { # Represents a single comment thread inside a presentation.
           "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
           "commentId": "A String", # The unique ID of the comment thread.
-          "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+          "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
             "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-            "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+            "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
               "anonymous": True or False, # Whether the user is anonymous.
               "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
               "me": True or False, # Whether the user is the authenticated user making the request.
@@ -15173,9 +15173,9 @@ 
Method Details

           },
           "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
           "replies": [ # Replies to the head post.
-            { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+            { # Represents a single post in a comment thread.
               "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-              "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+              "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
                 "anonymous": True or False, # Whether the user is anonymous.
                 "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
                 "me": True or False, # Whether the user is the authenticated user making the request.
@@ -15195,7 +15195,7 @@ 
Method Details

           "status": "A String", # Whether the thread is open or resolved.
         },
       ],
-      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+      "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
       "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
         "displayName": "A String", # The human-readable name of the layout.
         "masterObjectId": "A String", # The object ID of the master that this layout is based on.
diff --git a/docs/dyn/slides_v1.presentations.pages.html b/docs/dyn/slides_v1.presentations.pages.html
index 56ee5b602c..95525fc791 100644
--- a/docs/dyn/slides_v1.presentations.pages.html
+++ b/docs/dyn/slides_v1.presentations.pages.html
@@ -96,7 +96,7 @@ 
Method Details

 Args:
   presentationId: string, The ID of the presentation to retrieve. (required)
   pageObjectId: string, The object ID of the page to retrieve. (required)
-  commentsViewMode: string, The comments view mode to apply to the page. This allows viewing the page with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. [Developer Preview](https://developers.google.com/workspace/preview).
+  commentsViewMode: string, The comments view mode to apply to the page. This allows viewing the page with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used.
     Allowed values
       COMMENTS_VIEW_MODE_UNSPECIFIED - The CommentsViewMode is unspecified; COMMENTS_VIEW_MODE_OMITTED is applied.
       COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS - The CommentsViewMode applied to the returned presentation depends on the user's current access level. If the user only has view access, COMMENTS_VIEW_MODE_OMITTED is applied. Otherwise, COMMENTS_VIEW_MODE_INCLUDED is applied.
@@ -111,29 +111,29 @@ 
Method Details

   An object of the form:
 
     { # A page in a presentation.
-  "commentAnchors": [ # Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentAnchors": [ # Output only. The comment anchors present on the page.
+    { # Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,
       "anchorId": "A String", # Output only. The unique ID of the comment anchor.
       "objectAnchors": [ # Output only. All object ID-based locations within a page that refer to the anchor ID.
-        { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.
           "objectId": "A String", # Output only. The page or page element that the comment thread is anchored to.
-          "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
+          "shapeTextAnchors": { # Represents text ranges within a shape covered by a comment anchor. # Populated for Shapes that have comments anchored to ranges of text in the shape's text.
             "ranges": [ # A list of text ranges covered by the comment anchor.
-              { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+              { # Specifies a contiguous range of text within a shape or table cell's text.
                 "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                 "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
               },
             ],
           },
-          "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview). # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
+          "tableCellAnchors": { # Represents table cell ranges within a table covered by a comment anchor. # Populated for Tables that have comments anchored to ranges of text in one or more of the table's cells.
             "cellRanges": [ # A list of all table cells in a table that have text covered by the anchor in the table.
-              { # Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).
+              { # Represents text ranges within a table cell covered by a comment anchor.
                 "cellLocation": { # A location of a single table cell within a table. # The location of the table cell.
                   "columnIndex": 42, # The 0-based column index.
                   "rowIndex": 42, # The 0-based row index.
                 },
                 "ranges": [ # A list of all text ranges covered by the anchor in this cell.
-                  { # Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).
+                  { # Specifies a contiguous range of text within a shape or table cell's text.
                     "endIndex": 42, # The zero-based index of the end of the range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                     "startIndex": 42, # The zero-based index of the beginning range. This field is an Int32Value in order to accommodate future use cases with open-ended ranges.
                   },
@@ -145,13 +145,13 @@ 
Method Details

       ],
     },
   ],
-  "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).
-    { # Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).
+  "comments": [ # Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.
+    { # Represents a single comment thread inside a presentation.
       "anchorId": "A String", # The ID of the CommentAnchor in the presentation that this thread is tied to.
       "commentId": "A String", # The unique ID of the comment thread.
-      "headPost": { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview). # The first post in the thread.
+      "headPost": { # Represents a single post in a comment thread. # The first post in the thread.
         "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-        "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+        "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
           "anonymous": True or False, # Whether the user is anonymous.
           "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
           "me": True or False, # Whether the user is the authenticated user making the request.
@@ -169,9 +169,9 @@ 
Method Details

       },
       "plainTextQuote": "A String", # The quoted text from the page element when the comment was created, formatted as plain-text.
       "replies": [ # Replies to the head post.
-        { # Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).
+        { # Represents a single post in a comment thread.
           "assigneeEmail": "A String", # Optional. The email of the user who is being newly assigned to the thread as part of this post. Returns a 400 bad request error if: - The parent thread is a CommentThread whose headPost does not have an assignee. - commentAction is specified as `RESOLVE` or `REOPEN`. - `assignee_email` exceeds 2048 UTF-8 code units.
-          "author": { # Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview). # Output only. The user who created the post.
+          "author": { # Represents a user who authored a comment post. # Output only. The user who created the post.
             "anonymous": True or False, # Whether the user is anonymous.
             "displayName": "A String", # The display name of the user. May be absent if the author is anonymous.
             "me": True or False, # Whether the user is the authenticated user making the request.
@@ -191,7 +191,7 @@ 
Method Details

       "status": "A String", # Whether the thread is open or resolved.
     },
   ],
-  "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).
+  "commentsViewMode": "A String", # Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.
   "layoutProperties": { # The properties of Page are only relevant for pages with page_type LAYOUT. # Layout specific properties. Only set if page_type = LAYOUT.
     "displayName": "A String", # The human-readable name of the layout.
     "masterObjectId": "A String", # The object ID of the master that this layout is based on.
diff --git a/docs/dyn/sqladmin_v1beta4.workloadCaptures.html b/docs/dyn/sqladmin_v1beta4.workloadCaptures.html
index 56f79f7fb4..6fb1b59762 100644
--- a/docs/dyn/sqladmin_v1beta4.workloadCaptures.html
+++ b/docs/dyn/sqladmin_v1beta4.workloadCaptures.html
@@ -330,7 +330,7 @@ 
Method Details

     The object takes the form of:
 
 { # Request to start executing a captured workload on a replay instance (the Cloud SQL instance where the recorded SQL queries are executed).
-  "startWorkloadReplayContext": { # The context for the `StartWorkloadReplay` operation, which contains details about starting the execution of a captured workload (recorded read and write SQL queries) on a replay instance (the Cloud SQL instance where the recorded SQL queries are executed). # Optional. Contains details about the start workload replay operation.
+  "startWorkloadReplayContext": { # The context for the `StartWorkloadReplay` operation, which contains details about starting the execution of a captured workload (recorded read and write SQL queries) on a replay instance (the Cloud SQL instance where the recorded SQL queries are executed). # Required. Contains details about the start workload replay operation.
     "replayInstance": "A String", # Required. The name of the Cloud SQL instance where the captured workload (SQL queries) is being executed, excluding the project ID (for example, `my-replay-instance`). The instance name must start with a lowercase letter and contain only lowercase letters, numbers, and hyphens. The combined length of `project-ID:instance-name` must be 98 characters or less.
     "workloadId": "A String", # Output only. The ID of the workload to start executing on the replay instance. Each workload capture generates a unique ID in the format `workload-` (for example, `workload-1786046400`). Use this ID to start executing the recorded SQL queries.
   },
@@ -708,7 +708,7 @@ 
Method Details

     The object takes the form of:
 
 { # Request to stop executing a captured workload on a replay instance.
-  "stopWorkloadReplayContext": { # The context for the `StopWorkloadReplay` operation, which contains details about stopping the execution of a captured workload (recorded read and write SQL queries) on a replay instance. # Optional. Contains details about the stop workload replay operation.
+  "stopWorkloadReplayContext": { # The context for the `StopWorkloadReplay` operation, which contains details about stopping the execution of a captured workload (recorded read and write SQL queries) on a replay instance. # Required. Contains details about the stop workload replay operation.
     "replayInstance": "A String", # Required. The name of the Cloud SQL instance where the captured workload (SQL queries) is being executed, excluding the project ID (for example, `my-replay-instance`). The instance name must start with a lowercase letter and contain only lowercase letters, numbers, and hyphens. The combined length of `project-ID:instance-name` must be 98 characters or less.
     "workloadId": "A String", # Output only. The ID of the workload to stop executing on the replay instance. Each workload capture generates a unique ID in the format `workload-` (for example, `workload-1786046400`). Use this ID to stop executing the recorded SQL queries.
   },
diff --git a/googleapiclient/discovery_cache/documents/admob.v1.json b/googleapiclient/discovery_cache/documents/admob.v1.json
index 9149cf59c3..23d7a2c440 100644
--- a/googleapiclient/discovery_cache/documents/admob.v1.json
+++ b/googleapiclient/discovery_cache/documents/admob.v1.json
@@ -321,7 +321,7 @@
 }
 }
 },
-"revision": "20260610",
+"revision": "20261008",
 "rootUrl": "https://admob.googleapis.com/",
 "schemas": {
 "AdUnit": {
@@ -674,7 +674,8 @@
 "IMPRESSION_CTR",
 "MATCHED_REQUESTS",
 "MATCH_RATE",
-"OBSERVED_ECPM"
+"OBSERVED_ECPM",
+"AD_LOAD_LATENCY"
 ],
 "enumDescriptions": [
 "Default value for an unset field. Do not use.",
@@ -685,7 +686,8 @@
 "The ratio of clicks over impressions. The value is a double precision (approximate) decimal value.",
 "The number of times ads are returned in response to a request. The value is an integer.",
 "The ratio of matched ad requests over the total ad requests. The value is a double precision (approximate) decimal value.",
-"The third-party ad network's estimated average eCPM. The currency unit (USD, EUR, or other) of the earning metrics are determined by the localization setting for currency. The amount is in micros. For example, $2.30 would be represented as 2300000. The estimated average eCPM per mediation group and per ad source instance level is supported dating back to October 20, 2019. Third-party estimated average eCPM will show 0 for dates prior to October 20, 2019."
+"The third-party ad network's estimated average eCPM. The currency unit (USD, EUR, or other) of the earning metrics are determined by the localization setting for currency. The amount is in micros. For example, $2.30 would be represented as 2300000. The estimated average eCPM per mediation group and per ad source instance level is supported dating back to October 20, 2019. Third-party estimated average eCPM will show 0 for dates prior to October 20, 2019.",
+"The ad load latency is the total time it takes for an ad to load measured in seconds. It starts when the ad is requested and ends when a response is received. See https://support.google.com/admob/answer/12571120 for additional information."
 ],
 "type": "string"
 },
@@ -811,7 +813,8 @@
 "IMPRESSION_CTR",
 "MATCHED_REQUESTS",
 "MATCH_RATE",
-"OBSERVED_ECPM"
+"OBSERVED_ECPM",
+"AD_LOAD_LATENCY"
 ],
 "enumDescriptions": [
 "Default value for an unset field. Do not use.",
@@ -822,7 +825,8 @@
 "The ratio of clicks over impressions. The value is a double precision (approximate) decimal value.",
 "The number of times ads are returned in response to a request. The value is an integer.",
 "The ratio of matched ad requests over the total ad requests. The value is a double precision (approximate) decimal value.",
-"The third-party ad network's estimated average eCPM. The currency unit (USD, EUR, or other) of the earning metrics are determined by the localization setting for currency. The amount is in micros. For example, $2.30 would be represented as 2300000. The estimated average eCPM per mediation group and per ad source instance level is supported dating back to October 20, 2019. Third-party estimated average eCPM will show 0 for dates prior to October 20, 2019."
+"The third-party ad network's estimated average eCPM. The currency unit (USD, EUR, or other) of the earning metrics are determined by the localization setting for currency. The amount is in micros. For example, $2.30 would be represented as 2300000. The estimated average eCPM per mediation group and per ad source instance level is supported dating back to October 20, 2019. Third-party estimated average eCPM will show 0 for dates prior to October 20, 2019.",
+"The ad load latency is the total time it takes for an ad to load measured in seconds. It starts when the ad is requested and ends when a response is received. See https://support.google.com/admob/answer/12571120 for additional information."
 ],
 "type": "string"
 },
diff --git a/googleapiclient/discovery_cache/documents/admob.v1beta.json b/googleapiclient/discovery_cache/documents/admob.v1beta.json
index a8b71b4cb4..f3fa0b3738 100644
--- a/googleapiclient/discovery_cache/documents/admob.v1beta.json
+++ b/googleapiclient/discovery_cache/documents/admob.v1beta.json
@@ -758,7 +758,7 @@
 }
 }
 },
-"revision": "20260610",
+"revision": "20261008",
 "rootUrl": "https://admob.googleapis.com/",
 "schemas": {
 "AdSource": {
@@ -1789,7 +1789,8 @@
 "IMPRESSION_CTR",
 "MATCHED_REQUESTS",
 "MATCH_RATE",
-"OBSERVED_ECPM"
+"OBSERVED_ECPM",
+"AD_LOAD_LATENCY"
 ],
 "enumDescriptions": [
 "Default value for an unset field. Do not use.",
@@ -1800,7 +1801,8 @@
 "The ratio of clicks over impressions. The value is a double precision (approximate) decimal value.",
 "The number of times ads are returned in response to a request. The value is an integer.",
 "The ratio of matched ad requests over the total ad requests. The value is a double precision (approximate) decimal value.",
-"The third-party ad network's estimated average eCPM. The currency unit (USD, EUR, or other) of the earning metrics are determined by the localization setting for currency. The amount is in micros. For example, $2.30 would be represented as 2300000. The estimated average eCPM per mediation group and per ad source instance level is supported dating back to October 20, 2019. Third-party estimated average eCPM will show 0 for dates prior to October 20, 2019."
+"The third-party ad network's estimated average eCPM. The currency unit (USD, EUR, or other) of the earning metrics are determined by the localization setting for currency. The amount is in micros. For example, $2.30 would be represented as 2300000. The estimated average eCPM per mediation group and per ad source instance level is supported dating back to October 20, 2019. Third-party estimated average eCPM will show 0 for dates prior to October 20, 2019.",
+"The ad load latency is the total time it takes for an ad to load measured in seconds. It starts when the ad is requested and ends when a response is received. See https://support.google.com/admob/answer/12571120 for additional information."
 ],
 "type": "string"
 },
@@ -1926,7 +1928,8 @@
 "IMPRESSION_CTR",
 "MATCHED_REQUESTS",
 "MATCH_RATE",
-"OBSERVED_ECPM"
+"OBSERVED_ECPM",
+"AD_LOAD_LATENCY"
 ],
 "enumDescriptions": [
 "Default value for an unset field. Do not use.",
@@ -1937,7 +1940,8 @@
 "The ratio of clicks over impressions. The value is a double precision (approximate) decimal value.",
 "The number of times ads are returned in response to a request. The value is an integer.",
 "The ratio of matched ad requests over the total ad requests. The value is a double precision (approximate) decimal value.",
-"The third-party ad network's estimated average eCPM. The currency unit (USD, EUR, or other) of the earning metrics are determined by the localization setting for currency. The amount is in micros. For example, $2.30 would be represented as 2300000. The estimated average eCPM per mediation group and per ad source instance level is supported dating back to October 20, 2019. Third-party estimated average eCPM will show 0 for dates prior to October 20, 2019."
+"The third-party ad network's estimated average eCPM. The currency unit (USD, EUR, or other) of the earning metrics are determined by the localization setting for currency. The amount is in micros. For example, $2.30 would be represented as 2300000. The estimated average eCPM per mediation group and per ad source instance level is supported dating back to October 20, 2019. Third-party estimated average eCPM will show 0 for dates prior to October 20, 2019.",
+"The ad load latency is the total time it takes for an ad to load measured in seconds. It starts when the ad is requested and ends when a response is received. See https://support.google.com/admob/answer/12571120 for additional information."
 ],
 "type": "string"
 },
diff --git a/googleapiclient/discovery_cache/documents/analyticsdata.v1beta.json b/googleapiclient/discovery_cache/documents/analyticsdata.v1beta.json
index 70cd0a27c4..bb802e4555 100644
--- a/googleapiclient/discovery_cache/documents/analyticsdata.v1beta.json
+++ b/googleapiclient/discovery_cache/documents/analyticsdata.v1beta.json
@@ -440,7 +440,7 @@
 }
 }
 },
-"revision": "20260909",
+"revision": "20261006",
 "rootUrl": "https://analyticsdata.googleapis.com/",
 "schemas": {
 "ActiveMetricRestriction": {
@@ -1075,7 +1075,7 @@
 "type": "object"
 },
 "EmptyFilter": {
-"description": "Filter for empty values.",
+"description": "Filter for empty values. Matches dimension values that are `\"\"` or `(not set)` values. Use this filter to match rows with missing or unpopulated dimension values, or combine it with `not_expression` to exclude them from a report without filtering for both `\"\"` and `(not set)` separately.",
 "id": "EmptyFilter",
 "properties": {},
 "type": "object"
@@ -1090,7 +1090,7 @@
 },
 "emptyFilter": {
 "$ref": "EmptyFilter",
-"description": "A filter for empty values such as \"(not set)\" and \"\" values."
+"description": "A filter for empty values such as `(not set)` and `\"\"` values."
 },
 "fieldName": {
 "description": "The dimension name or metric name. In most methods, dimensions & metrics can be used for the first time in this field. However in a RunPivotReportRequest, this field must be additionally specified by name in the RunPivotReportRequest's dimensions or metrics.",
diff --git a/googleapiclient/discovery_cache/documents/androidmanagement.v1.json b/googleapiclient/discovery_cache/documents/androidmanagement.v1.json
index 7bf2c46ad3..a114285a27 100644
--- a/googleapiclient/discovery_cache/documents/androidmanagement.v1.json
+++ b/googleapiclient/discovery_cache/documents/androidmanagement.v1.json
@@ -1265,7 +1265,7 @@
 }
 }
 },
-"revision": "20261001",
+"revision": "20261008",
 "rootUrl": "https://androidmanagement.googleapis.com/",
 "schemas": {
 "AdbShellCommandEvent": {
@@ -4859,7 +4859,7 @@ false
 "type": "object"
 },
 "KioskCustomization": {
-"description": "Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK.",
+"description": "Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role.",
 "id": "KioskCustomization",
 "properties": {
 "deviceSettings": {
@@ -5506,6 +5506,7 @@ false
 "PENDING",
 "APP_INCOMPATIBLE",
 "APP_NOT_UPDATED",
+"OS_NOT_PERMITTED",
 "DEVICE_INCOMPATIBLE",
 "APP_SIGNING_CERT_MISMATCH",
 "PROJECT_NOT_PERMITTED"
@@ -5522,6 +5523,7 @@ false
 "The setting hasn't been applied at the time of the report, but is expected to be applied shortly.",
 "The setting can't be applied to the app because the app doesn't support it, for example because its target SDK version is not high enough.",
 "The app is installed, but it hasn't been updated to the minimum version code specified by policy.",
+"This OS version is not permitted by the policy",
 "The device is incompatible with the policy requirements.",
 "The app's signing certificate does not match the setting value.",
 "The Google Cloud Platform project used to manage the device is not permitted to use this policy."
@@ -5600,6 +5602,7 @@ false
 "PENDING",
 "APP_INCOMPATIBLE",
 "APP_NOT_UPDATED",
+"OS_NOT_PERMITTED",
 "DEVICE_INCOMPATIBLE",
 "APP_SIGNING_CERT_MISMATCH",
 "PROJECT_NOT_PERMITTED"
@@ -5616,6 +5619,7 @@ false
 "The setting hasn't been applied at the time of the report, but is expected to be applied shortly.",
 "The setting can't be applied to the app because the app doesn't support it, for example because its target SDK version is not high enough.",
 "The app is installed, but it hasn't been updated to the minimum version code specified by policy.",
+"This OS version is not permitted by the policy",
 "The device is incompatible with the policy requirements.",
 "The app's signing certificate does not match the setting value.",
 "The Google Cloud Platform project used to manage the device is not permitted to use this policy."
@@ -6501,7 +6505,7 @@ false
 },
 "kioskCustomization": {
 "$ref": "KioskCustomization",
-"description": "Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with installType KIOSK."
+"description": "Optional. Settings controlling the behavior of a device in kiosk mode. To enable kiosk mode, set kioskCustomLauncherEnabled to true or specify an app in the policy with the KIOSK role."
 },
 "locationMode": {
 "description": "The degree of location detection enabled.",
@@ -6563,7 +6567,7 @@ false
 "type": "string"
 },
 "minimumApiLevel": {
-"description": "The minimum allowed Android API level.",
+"description": "The minimum allowed Android API level. A NonComplianceDetail with OS_NOT_PERMITTED is reported if the Android API level of the device is lower than this value.",
 "format": "int32",
 "type": "integer"
 },
diff --git a/googleapiclient/discovery_cache/documents/apigee.v1.json b/googleapiclient/discovery_cache/documents/apigee.v1.json
index 8ba4b9446a..5e08c697df 100644
--- a/googleapiclient/discovery_cache/documents/apigee.v1.json
+++ b/googleapiclient/discovery_cache/documents/apigee.v1.json
@@ -211,11 +211,13 @@
 "description": "Optional. This setting is applicable only for organizations that are soft-deleted (i.e., BillingType is not EVALUATION). It controls how long Organization data will be retained after the initial delete operation completes. During this period, the Organization may be restored to its last known state. After this period, the Organization will no longer be able to be restored. **Note: During the data retention period specified using this field, the Apigee organization cannot be recreated in the same Google Cloud project.**",
 "enum": [
 "DELETION_RETENTION_UNSPECIFIED",
-"MINIMUM"
+"MINIMUM",
+"NO_RETENTION"
 ],
 "enumDescriptions": [
 "Default data retention setting of seven days will be applied.",
-"Organization data will be retained for the minimum period of 24 hours."
+"Organization data will be retained for the minimum period of 24 hours.",
+"Does not retain organization data and permanently deletes the organization immediately. **Warning:** You will NOT be able to restore the Apigee organization when using this option."
 ],
 "location": "query",
 "type": "string"
@@ -11994,7 +11996,7 @@
 }
 }
 },
-"revision": "20260920",
+"revision": "20261006",
 "rootUrl": "https://apigee.googleapis.com/",
 "schemas": {
 "EdgeConfigstoreBundleBadBundle": {
diff --git a/googleapiclient/discovery_cache/documents/artifactregistry.v1.json b/googleapiclient/discovery_cache/documents/artifactregistry.v1.json
index 529a3ac7bd..4f6ed5425f 100644
--- a/googleapiclient/discovery_cache/documents/artifactregistry.v1.json
+++ b/googleapiclient/discovery_cache/documents/artifactregistry.v1.json
@@ -2714,7 +2714,7 @@
 }
 }
 },
-"revision": "20260822",
+"revision": "20260925",
 "rootUrl": "https://artifactregistry.googleapis.com/",
 "schemas": {
 "AptArtifact": {
@@ -3367,7 +3367,7 @@
 "id": "GoogleDevtoolsArtifactregistryV1RemoteRepositoryConfigAptRepositoryCustomRepository",
 "properties": {
 "uri": {
-"description": "An http/https uri reference to the upstream remote repository, for ex: \"https://my.apt.registry/\".",
+"description": "An https uri reference to the upstream remote repository, for ex: \"https://my.apt.registry/\".",
 "type": "string"
 }
 },
@@ -3405,7 +3405,7 @@
 "id": "GoogleDevtoolsArtifactregistryV1RemoteRepositoryConfigDockerRepositoryCustomRepository",
 "properties": {
 "uri": {
-"description": "An http/https uri reference to the custom remote repository, for ex: \"https://registry-1.docker.io\".",
+"description": "An https uri reference to the custom remote repository, for ex: \"https://registry-1.docker.io\".",
 "type": "string"
 }
 },
@@ -3416,7 +3416,7 @@
 "id": "GoogleDevtoolsArtifactregistryV1RemoteRepositoryConfigMavenRepositoryCustomRepository",
 "properties": {
 "uri": {
-"description": "An http/https uri reference to the upstream remote repository, for ex: \"https://my.maven.registry/\".",
+"description": "An https uri reference to the upstream remote repository, for ex: \"https://my.maven.registry/\".",
 "type": "string"
 }
 },
@@ -3427,7 +3427,7 @@
 "id": "GoogleDevtoolsArtifactregistryV1RemoteRepositoryConfigNpmRepositoryCustomRepository",
 "properties": {
 "uri": {
-"description": "An http/https uri reference to the upstream remote repository, for ex: \"https://my.npm.registry/\".",
+"description": "An https uri reference to the upstream remote repository, for ex: \"https://my.npm.registry/\".",
 "type": "string"
 }
 },
@@ -3438,7 +3438,7 @@
 "id": "GoogleDevtoolsArtifactregistryV1RemoteRepositoryConfigPythonRepositoryCustomRepository",
 "properties": {
 "uri": {
-"description": "An http/https uri reference to the upstream remote repository, for ex: \"https://my.python.registry/\".",
+"description": "An https uri reference to the upstream remote repository, for ex: \"https://my.python.registry/\".",
 "type": "string"
 }
 },
@@ -3449,7 +3449,7 @@
 "id": "GoogleDevtoolsArtifactregistryV1RemoteRepositoryConfigYumRepositoryCustomRepository",
 "properties": {
 "uri": {
-"description": "An http/https uri reference to the upstream remote repository, for ex: \"https://my.yum.registry/\".",
+"description": "An https uri reference to the upstream remote repository, for ex: \"https://my.yum.registry/\".",
 "type": "string"
 }
 },
diff --git a/googleapiclient/discovery_cache/documents/backupdr.v1.json b/googleapiclient/discovery_cache/documents/backupdr.v1.json
index 3b4ff20764..b6b5ef866f 100644
--- a/googleapiclient/discovery_cache/documents/backupdr.v1.json
+++ b/googleapiclient/discovery_cache/documents/backupdr.v1.json
@@ -2725,7 +2725,7 @@
 }
 }
 },
-"revision": "20260918",
+"revision": "20261002",
 "rootUrl": "https://backupdr.googleapis.com/",
 "schemas": {
 "AbandonBackupRequest": {
@@ -3906,7 +3906,8 @@
 "ACTIVE",
 "DELETING",
 "INACTIVE",
-"UPDATING"
+"UPDATING",
+"PAUSED"
 ],
 "enumDescriptions": [
 "State not set.",
@@ -3914,7 +3915,8 @@
 "The resource has been created and is fully usable.",
 "The resource is being deleted.",
 "The resource has been created but is not usable.",
-"The resource is being updated."
+"The resource is being updated.",
+"The resource has been created but backups are paused."
 ],
 "readOnly": true,
 "type": "string"
@@ -4686,12 +4688,14 @@
 "enum": [
 "BACKUP_CONFIG_STATE_UNSPECIFIED",
 "ACTIVE",
-"PASSIVE"
+"PASSIVE",
+"PAUSED"
 ],
 "enumDescriptions": [
 "The possible states of backup configuration. Status not set.",
 "The data source is actively protected (i.e. there is a BackupPlanAssociation or Appliance SLA pointing to it)",
-"The data source is no longer protected (but may have backups under it)"
+"The data source is no longer protected (but may have backups under it)",
+"The data source has been created but backups are paused"
 ],
 "readOnly": true,
 "type": "string"
@@ -4934,12 +4938,14 @@
 "enum": [
 "BACKUP_CONFIG_STATE_UNSPECIFIED",
 "ACTIVE",
-"PASSIVE"
+"PASSIVE",
+"PAUSED"
 ],
 "enumDescriptions": [
 "The possible states of backup configuration. Status not set.",
 "The data source is actively protected (i.e. there is a BackupPlanAssociation or Appliance SLA pointing to it)",
-"The data source is no longer protected (but may have backups under it)"
+"The data source is no longer protected (but may have backups under it)",
+"The data source has been created but backups are paused"
 ],
 "readOnly": true,
 "type": "string"
@@ -6995,12 +7001,14 @@
 "enum": [
 "BACKUP_CONFIG_STATE_UNSPECIFIED",
 "ACTIVE",
-"PASSIVE"
+"PASSIVE",
+"PAUSED"
 ],
 "enumDescriptions": [
 "The possible states of backup configuration. Status not set.",
 "The data source is actively protected (i.e. there is a BackupPlanAssociation or Appliance SLA pointing to it)",
-"The data source is no longer protected (but may have backups under it)"
+"The data source is no longer protected (but may have backups under it)",
+"The data source has been created but backups are paused"
 ],
 "readOnly": true,
 "type": "string"
diff --git a/googleapiclient/discovery_cache/documents/backupdr.v1beta.json b/googleapiclient/discovery_cache/documents/backupdr.v1beta.json
index ea983f2f4b..24fca2d3b6 100644
--- a/googleapiclient/discovery_cache/documents/backupdr.v1beta.json
+++ b/googleapiclient/discovery_cache/documents/backupdr.v1beta.json
@@ -3179,7 +3179,7 @@
 }
 }
 },
-"revision": "20260918",
+"revision": "20261002",
 "rootUrl": "https://backupdr.googleapis.com/",
 "schemas": {
 "AbandonBackupRequest": {
@@ -5450,12 +5450,14 @@
 "enum": [
 "BACKUP_CONFIG_STATE_UNSPECIFIED",
 "ACTIVE",
-"PASSIVE"
+"PASSIVE",
+"PAUSED"
 ],
 "enumDescriptions": [
 "The possible states of backup configuration. Status not set.",
 "The data source is actively protected (i.e. there is a BackupPlanAssociation or Appliance SLA pointing to it)",
-"The data source is no longer protected (but may have backups under it)"
+"The data source is no longer protected (but may have backups under it)",
+"The data source has been created but backups are paused"
 ],
 "readOnly": true,
 "type": "string"
@@ -5698,12 +5700,14 @@
 "enum": [
 "BACKUP_CONFIG_STATE_UNSPECIFIED",
 "ACTIVE",
-"PASSIVE"
+"PASSIVE",
+"PAUSED"
 ],
 "enumDescriptions": [
 "The possible states of backup configuration. Status not set.",
 "The data source is actively protected (i.e. there is a BackupPlanAssociation or Appliance SLA pointing to it)",
-"The data source is no longer protected (but may have backups under it)"
+"The data source is no longer protected (but may have backups under it)",
+"The data source has been created but backups are paused"
 ],
 "readOnly": true,
 "type": "string"
@@ -7889,12 +7893,14 @@ false
 "enum": [
 "BACKUP_CONFIG_STATE_UNSPECIFIED",
 "ACTIVE",
-"PASSIVE"
+"PASSIVE",
+"PAUSED"
 ],
 "enumDescriptions": [
 "The possible states of backup configuration. Status not set.",
 "The data source is actively protected (i.e. there is a BackupPlanAssociation or Appliance SLA pointing to it)",
-"The data source is no longer protected (but may have backups under it)"
+"The data source is no longer protected (but may have backups under it)",
+"The data source has been created but backups are paused"
 ],
 "readOnly": true,
 "type": "string"
diff --git a/googleapiclient/discovery_cache/documents/businessprofileperformance.v1.json b/googleapiclient/discovery_cache/documents/businessprofileperformance.v1.json
index e7878436dc..e4ce34a0e4 100644
--- a/googleapiclient/discovery_cache/documents/businessprofileperformance.v1.json
+++ b/googleapiclient/discovery_cache/documents/businessprofileperformance.v1.json
@@ -129,7 +129,7 @@ false,
 false,
 false,
 false,
-false,
+true,
 false,
 false,
 false,
@@ -235,7 +235,7 @@ false,
 false,
 false,
 false,
-false,
+true,
 false,
 false,
 false,
@@ -445,7 +445,7 @@ false
 }
 }
 },
-"revision": "20260415",
+"revision": "20261004",
 "rootUrl": "https://businessprofileperformance.googleapis.com/",
 "schemas": {
 "DailyMetricTimeSeries": {
@@ -474,7 +474,7 @@ false,
 false,
 false,
 false,
-false,
+true,
 false,
 false,
 false,
diff --git a/googleapiclient/discovery_cache/documents/cloudlocationfinder.v1.json b/googleapiclient/discovery_cache/documents/cloudlocationfinder.v1.json
index df89a63847..ba494d730e 100644
--- a/googleapiclient/discovery_cache/documents/cloudlocationfinder.v1.json
+++ b/googleapiclient/discovery_cache/documents/cloudlocationfinder.v1.json
@@ -225,7 +225,7 @@
 "type": "string"
 },
 "pageSize": {
-"description": "Optional. The maximum number of cloud locations to return per page. The service might return fewer cloud locations than this value. If unspecified, server will pick an appropriate default.",
+"description": "Optional. The maximum number of cloud locations to return per page. The service might return fewer cloud locations than this value. If unspecified, at most 500 cloud locations will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.",
 "format": "int32",
 "location": "query",
 "type": "integer"
@@ -261,7 +261,7 @@
 ],
 "parameters": {
 "pageSize": {
-"description": "Optional. The maximum number of cloud locations to return. The service might return fewer cloud locations than this value. If unspecified, server will pick an appropriate default.",
+"description": "Optional. The maximum number of cloud locations to return. The service might return fewer cloud locations than this value. If unspecified, at most 500 cloud locations will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.",
 "format": "int32",
 "location": "query",
 "type": "integer"
@@ -304,7 +304,7 @@
 }
 }
 },
-"revision": "20260916",
+"revision": "20260930",
 "rootUrl": "https://cloudlocationfinder.googleapis.com/",
 "schemas": {
 "CloudLocation": {
diff --git a/googleapiclient/discovery_cache/documents/cloudlocationfinder.v1alpha.json b/googleapiclient/discovery_cache/documents/cloudlocationfinder.v1alpha.json
index 9d0ca69f86..0e368c5068 100644
--- a/googleapiclient/discovery_cache/documents/cloudlocationfinder.v1alpha.json
+++ b/googleapiclient/discovery_cache/documents/cloudlocationfinder.v1alpha.json
@@ -225,7 +225,7 @@
 "type": "string"
 },
 "pageSize": {
-"description": "Optional. The maximum number of cloud locations to return per page. The service might return fewer cloud locations than this value. If unspecified, server will pick an appropriate default.",
+"description": "Optional. The maximum number of cloud locations to return per page. The service might return fewer cloud locations than this value. If unspecified, at most 500 cloud locations will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.",
 "format": "int32",
 "location": "query",
 "type": "integer"
@@ -261,7 +261,7 @@
 ],
 "parameters": {
 "pageSize": {
-"description": "Optional. The maximum number of cloud locations to return. The service might return fewer cloud locations than this value. If unspecified, server will pick an appropriate default.",
+"description": "Optional. The maximum number of cloud locations to return. The service might return fewer cloud locations than this value. If unspecified, at most 500 cloud locations will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.",
 "format": "int32",
 "location": "query",
 "type": "integer"
@@ -304,7 +304,7 @@
 }
 }
 },
-"revision": "20260916",
+"revision": "20260930",
 "rootUrl": "https://cloudlocationfinder.googleapis.com/",
 "schemas": {
 "CloudLocation": {
diff --git a/googleapiclient/discovery_cache/documents/containeranalysis.v1.json b/googleapiclient/discovery_cache/documents/containeranalysis.v1.json
index ac93742f7b..5418926f32 100644
--- a/googleapiclient/discovery_cache/documents/containeranalysis.v1.json
+++ b/googleapiclient/discovery_cache/documents/containeranalysis.v1.json
@@ -1715,7 +1715,7 @@
 }
 }
 },
-"revision": "20260929",
+"revision": "20261002",
 "rootUrl": "https://containeranalysis.googleapis.com/",
 "schemas": {
 "AISkillAnalysisNote": {
@@ -3675,11 +3675,13 @@ false
 "description": "Requested verifiability options.",
 "enum": [
 "NOT_VERIFIED",
-"VERIFIED"
+"VERIFIED",
+"BEST_EFFORT"
 ],
 "enumDescriptions": [
 "Not a verifiable build (the default).",
-"Build must be verified."
+"Build must be verified.",
+"Build verification is best effort. If provenance generation fails, the build will still succeed."
 ],
 "type": "string"
 },
diff --git a/googleapiclient/discovery_cache/documents/containeranalysis.v1alpha1.json b/googleapiclient/discovery_cache/documents/containeranalysis.v1alpha1.json
index 7573b962ea..5da59ba544 100644
--- a/googleapiclient/discovery_cache/documents/containeranalysis.v1alpha1.json
+++ b/googleapiclient/discovery_cache/documents/containeranalysis.v1alpha1.json
@@ -1454,7 +1454,7 @@
 }
 }
 },
-"revision": "20260929",
+"revision": "20261002",
 "rootUrl": "https://containeranalysis.googleapis.com/",
 "schemas": {
 "AISkillAnalysisNote": {
@@ -3213,11 +3213,13 @@ false
 "description": "Requested verifiability options.",
 "enum": [
 "NOT_VERIFIED",
-"VERIFIED"
+"VERIFIED",
+"BEST_EFFORT"
 ],
 "enumDescriptions": [
 "Not a verifiable build (the default).",
-"Build must be verified."
+"Build must be verified.",
+"Build verification is best effort. If provenance generation fails, the build will still succeed."
 ],
 "type": "string"
 },
diff --git a/googleapiclient/discovery_cache/documents/containeranalysis.v1beta1.json b/googleapiclient/discovery_cache/documents/containeranalysis.v1beta1.json
index fefd951ccc..8c57cdf887 100644
--- a/googleapiclient/discovery_cache/documents/containeranalysis.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/containeranalysis.v1beta1.json
@@ -1771,7 +1771,7 @@
 }
 }
 },
-"revision": "20260929",
+"revision": "20261002",
 "rootUrl": "https://containeranalysis.googleapis.com/",
 "schemas": {
 "AISkillAnalysisNote": {
@@ -3589,11 +3589,13 @@ false
 "description": "Requested verifiability options.",
 "enum": [
 "NOT_VERIFIED",
-"VERIFIED"
+"VERIFIED",
+"BEST_EFFORT"
 ],
 "enumDescriptions": [
 "Not a verifiable build (the default).",
-"Build must be verified."
+"Build must be verified.",
+"Build verification is best effort. If provenance generation fails, the build will still succeed."
 ],
 "type": "string"
 },
diff --git a/googleapiclient/discovery_cache/documents/datamanager.v1.json b/googleapiclient/discovery_cache/documents/datamanager.v1.json
index 58e0d9cef0..cba11faff9 100644
--- a/googleapiclient/discovery_cache/documents/datamanager.v1.json
+++ b/googleapiclient/discovery_cache/documents/datamanager.v1.json
@@ -860,7 +860,7 @@
 }
 }
 },
-"revision": "20260924",
+"revision": "20261007",
 "rootUrl": "https://datamanager.googleapis.com/",
 "schemas": {
 "AdEvent": {
@@ -1634,7 +1634,9 @@
 "PROCESSING_ERROR_REASON_INVALID_CLICK",
 "PROCESSING_ERROR_REASON_INVALID_OPERATING_ACCOUNT_FOR_CLICK",
 "PROCESSING_ERROR_REASON_CLICK_NOT_FOUND",
-"PROCESSING_ERROR_REASON_EXTERNAL_ATTRIBUTION_DATA_MISSING"
+"PROCESSING_ERROR_REASON_EXTERNAL_ATTRIBUTION_DATA_MISSING",
+"PROCESSING_ERROR_REASON_DESTINATION_TOO_RECENTLY_CREATED",
+"PROCESSING_ERROR_REASON_EXPIRED_CLICK"
 ],
 "enumDescriptions": [
 "",
@@ -1681,6 +1683,8 @@
 "",
 "",
 "",
+"",
+"",
 ""
 ],
 "type": "string"
diff --git a/googleapiclient/discovery_cache/documents/docs.v1.json b/googleapiclient/discovery_cache/documents/docs.v1.json
index ca90a805ae..dfa2f64ce5 100644
--- a/googleapiclient/discovery_cache/documents/docs.v1.json
+++ b/googleapiclient/discovery_cache/documents/docs.v1.json
@@ -178,7 +178,7 @@
 ],
 "parameters": {
 "commentsViewMode": {
-"description": "The comments view mode to apply to the document. This allows viewing the document with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. If you set comments_view_mode to any value, you must also set include_tabs_content to `true` or use a field mask that references the Document.tabs field (or any subfield). If you set comments_view_mode to COMMENTS_VIEW_MODE_INCLUDED, you must also explicitly set suggestions_view_mode to SUGGESTIONS_INLINE. If you set comments_view_mode to COMMENTS_VIEW_MODE_INCLUDED or COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS, you may not set suggestions_view_mode to PREVIEW_WITHOUT_SUGGESTIONS or PREVIEW_SUGGESTIONS_ACCEPTED. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comments view mode to apply to the document. This allows viewing the document with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. If you set comments_view_mode to any value, you must also set include_tabs_content to `true` or use a field mask that references the Document.tabs field (or any subfield). If you set comments_view_mode to COMMENTS_VIEW_MODE_INCLUDED, you must also explicitly set suggestions_view_mode to SUGGESTIONS_INLINE. If you set comments_view_mode to COMMENTS_VIEW_MODE_INCLUDED or COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS, you may not set suggestions_view_mode to PREVIEW_WITHOUT_SUGGESTIONS or PREVIEW_SUGGESTIONS_ACCEPTED.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -238,11 +238,11 @@
 }
 }
 },
-"revision": "20260928",
+"revision": "20261006",
 "rootUrl": "https://docs.googleapis.com/",
 "schemas": {
 "AcceptSuggestionRequest": {
-"description": "Accepts a suggestion. Returns a 403 forbidden error if the requesting user does not have edit access to the document. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Accepts a suggestion. Returns a 403 forbidden error if the requesting user does not have edit access to the document.",
 "id": "AcceptSuggestionRequest",
 "properties": {
 "suggestionId": {
@@ -253,7 +253,7 @@
 "type": "object"
 },
 "AddCommentReplyRequest": {
-"description": "Inserts a reply Post into a CommentThread or SuggestionThread. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Inserts a reply Post into a CommentThread or SuggestionThread.",
 "id": "AddCommentReplyRequest",
 "properties": {
 "commentId": {
@@ -272,7 +272,7 @@
 "type": "object"
 },
 "AddCommentReplyResponse": {
-"description": "Response message for adding a reply. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Response message for adding a reply.",
 "id": "AddCommentReplyResponse",
 "properties": {
 "post": {
@@ -395,7 +395,7 @@
 "id": "BatchUpdateDocumentResponse",
 "properties": {
 "commentUpdateState": {
-"description": "Whether comment updates were applied in the batch request. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Whether comment updates were applied in the batch request.",
 "enum": [
 "COMMENT_UPDATE_STATE_UNSPECIFIED",
 "NO_UPDATES_REQUESTED",
@@ -422,7 +422,7 @@
 "type": "array"
 },
 "suggestionResponses": {
-"description": "The suggestions which were affected by each update. This maps 1:1 with the updates. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The suggestions which were affected by each update. This maps 1:1 with the updates.",
 "items": {
 "$ref": "SuggestionResponse"
 },
@@ -547,7 +547,7 @@
 "type": "object"
 },
 "CommentAnchor": {
-"description": "One or more locations in the document that are tied to CommentThreads with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "One or more locations in the document that are tied to CommentThreads with the same anchorId. Note: Multiple anchors may refer to the same location.",
 "id": "CommentAnchor",
 "properties": {
 "anchorId": {
@@ -565,7 +565,7 @@
 "type": "object"
 },
 "CommentThread": {
-"description": "Represents a single comment thread. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a single comment thread.",
 "id": "CommentThread",
 "properties": {
 "anchorId": {
@@ -1000,7 +1000,7 @@
 "type": "object"
 },
 "DeleteCommentReplyRequest": {
-"description": "Deletes a reply Post from a CommentThread or SuggestionThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains an action. - The reply post contains an assignee. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Deletes a reply Post from a CommentThread or SuggestionThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains an action. - The reply post contains an assignee.",
 "id": "DeleteCommentReplyRequest",
 "properties": {
 "commentId": {
@@ -1019,7 +1019,7 @@
 "type": "object"
 },
 "DeleteCommentRequest": {
-"description": "Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost.",
 "id": "DeleteCommentRequest",
 "properties": {
 "commentId": {
@@ -1131,7 +1131,7 @@
 "type": "object"
 },
 "DeleteSuggestionRequest": {
-"description": "Deletes a suggestion. Returns a 403 forbidden error if the requesting user is not the author of the suggestion. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Deletes a suggestion. Returns a 403 forbidden error if the requesting user is not the author of the suggestion.",
 "id": "DeleteSuggestionRequest",
 "properties": {
 "suggestionId": {
@@ -1207,14 +1207,14 @@
 "description": "Output only. The main body of the document. Legacy field: Instead, use Document.tabs.documentTab.body, which exposes the actual document content from all tabs when the includeTabsContent parameter is set to `true`. If `false` or unset, this field contains information about the first tab in the document."
 },
 "comments": {
-"description": "Output only. The comments associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The comments associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`).",
 "items": {
 "$ref": "CommentThread"
 },
 "type": "array"
 },
 "commentsViewMode": {
-"description": "Output only. The comments view mode applied to the document. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The comments view mode applied to the document.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -1309,7 +1309,7 @@
 "type": "object"
 },
 "suggestions": {
-"description": "Output only. The suggestions associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The suggestions associated with the document. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`).",
 "items": {
 "$ref": "SuggestionThread"
 },
@@ -1549,7 +1549,7 @@
 "additionalProperties": {
 "$ref": "CommentAnchor"
 },
-"description": "The comment anchors in a document tab, keyed by anchor ID. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`). [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comment anchors in a document tab, keyed by anchor ID. Only populated if the commentsViewMode parameter is set to require comments (such as `COMMENTS_VIEW_MODE_INCLUDED`).",
 "type": "object"
 },
 "documentStyle": {
@@ -2315,7 +2315,7 @@
 "type": "object"
 },
 "InsertCommentRequest": {
-"description": "Inserts a CommentThread into the document. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Inserts a CommentThread into the document.",
 "id": "InsertCommentRequest",
 "properties": {
 "assigneeEmailAddress": {
@@ -2334,7 +2334,7 @@
 "type": "object"
 },
 "InsertCommentResponse": {
-"description": "Response message for inserting a comment. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Response message for inserting a comment.",
 "id": "InsertCommentResponse",
 "properties": {
 "commentThread": {
@@ -3652,7 +3652,7 @@
 "type": "object"
 },
 "Post": {
-"description": "Represents a single post in a comment or suggestion thread. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a single post in a comment or suggestion thread.",
 "id": "Post",
 "properties": {
 "assigneeEmail": {
@@ -3737,7 +3737,7 @@
 "type": "object"
 },
 "PostAuthor": {
-"description": "Represents a user who authored a comment or suggestion post. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a user who authored a comment or suggestion post.",
 "id": "PostAuthor",
 "properties": {
 "anonymous": {
@@ -3785,7 +3785,7 @@
 "type": "object"
 },
 "RejectSuggestionRequest": {
-"description": "Rejects a suggestion. Returns a 403 forbidden error if the requesting user does not have edit access to the document and is not the author of the suggestion. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Rejects a suggestion. Returns a 403 forbidden error if the requesting user does not have edit access to the document and is not the author of the suggestion.",
 "id": "RejectSuggestionRequest",
 "properties": {
 "suggestionId": {
@@ -3886,11 +3886,11 @@
 "properties": {
 "acceptSuggestion": {
 "$ref": "AcceptSuggestionRequest",
-"description": "Accepts a suggestion. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Accepts a suggestion."
 },
 "addCommentReply": {
 "$ref": "AddCommentReplyRequest",
-"description": "Adds a reply to a CommentThread or SuggestionThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Adds a reply to a CommentThread or SuggestionThread."
 },
 "addDocumentTab": {
 "$ref": "AddDocumentTabRequest",
@@ -3922,11 +3922,11 @@
 },
 "deleteComment": {
 "$ref": "DeleteCommentRequest",
-"description": "Deletes a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Deletes a CommentThread."
 },
 "deleteCommentReply": {
 "$ref": "DeleteCommentReplyRequest",
-"description": "Deletes a reply Post from a CommentThread or SuggestionThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Deletes a reply Post from a CommentThread or SuggestionThread."
 },
 "deleteContentRange": {
 "$ref": "DeleteContentRangeRequest",
@@ -3958,7 +3958,7 @@
 },
 "deleteSuggestion": {
 "$ref": "DeleteSuggestionRequest",
-"description": "Deletes a suggestion. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Deletes a suggestion."
 },
 "deleteTab": {
 "$ref": "DeleteTabRequest",
@@ -3974,7 +3974,7 @@
 },
 "insertComment": {
 "$ref": "InsertCommentRequest",
-"description": "Inserts a CommentThread into the document. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Inserts a CommentThread into the document."
 },
 "insertDate": {
 "$ref": "InsertDateRequest",
@@ -4030,7 +4030,7 @@
 },
 "rejectSuggestion": {
 "$ref": "RejectSuggestionRequest",
-"description": "Rejects a suggestion. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Rejects a suggestion."
 },
 "replaceAllText": {
 "$ref": "ReplaceAllTextRequest",
@@ -4050,7 +4050,7 @@
 },
 "updateCommentPost": {
 "$ref": "UpdateCommentPostRequest",
-"description": "Updates an existing post (head post or reply) of a CommentThread or SuggestionThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Updates an existing post (head post or reply) of a CommentThread or SuggestionThread."
 },
 "updateDocumentStyle": {
 "$ref": "UpdateDocumentStyleRequest",
@@ -4105,7 +4105,7 @@
 "properties": {
 "addCommentReply": {
 "$ref": "AddCommentReplyResponse",
-"description": "The result of adding a reply to a comment or suggestion. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "The result of adding a reply to a comment or suggestion."
 },
 "addDocumentTab": {
 "$ref": "AddDocumentTabResponse",
@@ -4133,7 +4133,7 @@
 },
 "insertComment": {
 "$ref": "InsertCommentResponse",
-"description": "The result of inserting a comment. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "The result of inserting a comment."
 },
 "insertDropdown": {
 "$ref": "InsertDropdownResponse",
@@ -4725,7 +4725,7 @@
 "type": "object"
 },
 "SuggestionResponse": {
-"description": "The suggestions which were affected by a given update. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The suggestions which were affected by a given update.",
 "id": "SuggestionResponse",
 "properties": {
 "acceptedSuggestionIds": {
@@ -4767,7 +4767,7 @@
 "type": "object"
 },
 "SuggestionThread": {
-"description": "Represents a single suggestion thread. Suggestion threads are created as a byproduct of saving changes to the document while in suggestion mode, and cannot be created directly. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a single suggestion thread. Suggestion threads are created as a byproduct of saving changes to the document while in suggestion mode, and cannot be created directly.",
 "id": "SuggestionThread",
 "properties": {
 "headPost": {
@@ -5506,7 +5506,7 @@
 "type": "object"
 },
 "UpdateCommentPostRequest": {
-"description": "Updates a Post in a CommentThread or SuggestionThread. Returns a 400 bad request error if: - The post is the headPost of a SuggestionThread. - The requesting user is not the author of the post. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Updates a Post in a CommentThread or SuggestionThread. Returns a 400 bad request error if: - The post is the headPost of a SuggestionThread. - The requesting user is not the author of the post.",
 "id": "UpdateCommentPostRequest",
 "properties": {
 "commentId": {
@@ -5808,7 +5808,7 @@
 "type": "string"
 },
 "writeMode": {
-"description": "How the request updates should be applied to the document. If unspecified, the request updates will be applied as normal edits. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "How the request updates should be applied to the document. If unspecified, the request updates will be applied as normal edits.",
 "enum": [
 "WRITE_MODE_UNSPECIFIED",
 "EDIT",
@@ -5817,7 +5817,7 @@
 "enumDescriptions": [
 "The write mode is unspecified. Defaults to EDIT behavior.",
 "Apply all updates as normal edits.",
-"Apply all updates as suggestions. [Developer Preview](https://developers.google.com/workspace/preview)."
+"Apply all updates as suggestions."
 ],
 "type": "string"
 }
diff --git a/googleapiclient/discovery_cache/documents/eventarc.v1.json b/googleapiclient/discovery_cache/documents/eventarc.v1.json
index 9a24622617..529274940b 100644
--- a/googleapiclient/discovery_cache/documents/eventarc.v1.json
+++ b/googleapiclient/discovery_cache/documents/eventarc.v1.json
@@ -2527,7 +2527,7 @@
 }
 }
 },
-"revision": "20260612",
+"revision": "20261002",
 "rootUrl": "https://eventarc.googleapis.com/",
 "schemas": {
 "AuditConfig": {
@@ -4128,7 +4128,7 @@
 "type": "string"
 },
 "eventFilters": {
-"description": "Required. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination.",
+"description": "Optional. Unordered list. The list of filters that applies to event attributes. Only events that match all the provided filters are sent to the destination.",
 "items": {
 "$ref": "EventFilter"
 },
diff --git a/googleapiclient/discovery_cache/documents/gmail.v1.json b/googleapiclient/discovery_cache/documents/gmail.v1.json
index a072d28993..84b2dffea5 100644
--- a/googleapiclient/discovery_cache/documents/gmail.v1.json
+++ b/googleapiclient/discovery_cache/documents/gmail.v1.json
@@ -3091,7 +3091,7 @@
 }
 }
 },
-"revision": "20260727",
+"revision": "20261005",
 "rootUrl": "https://gmail.googleapis.com/",
 "schemas": {
 "AutoForwarding": {
@@ -3300,7 +3300,7 @@
 },
 "kaclsKeyMetadata": {
 "$ref": "KaclsKeyMetadata",
-"description": "Metadata for a private key instance managed by an external key access control list service."
+"description": "Metadata for a private key instance managed by an external key access control list service. The maximum size of the KACLS data field is 8 KiB."
 },
 "privateKeyMetadataId": {
 "description": "Output only. The immutable ID for the private key metadata instance.",
@@ -3639,15 +3639,15 @@
 "type": "object"
 },
 "KaclsKeyMetadata": {
-"description": "Metadata for private keys managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference).",
+"description": "Metadata for a cryptographic key managed by an external key access control list service. For details about managing key access, see [Google Workspace CSE API Reference](https://developers.google.com/workspace/cse/reference).",
 "id": "KaclsKeyMetadata",
 "properties": {
 "kaclsData": {
-"description": "Opaque data generated and used by the key access control list service. Maximum size: 8 KiB.",
+"description": "Opaque data generated and used by the key access control list service.",
 "type": "string"
 },
 "kaclsUri": {
-"description": "The URI of the key access control list service that manages the private key.",
+"description": "The URI of the key access control list service that manages the key.",
 "type": "string"
 }
 },
diff --git a/googleapiclient/discovery_cache/documents/health.v4.json b/googleapiclient/discovery_cache/documents/health.v4.json
index 17ba7b012a..a98f8a23fe 100644
--- a/googleapiclient/discovery_cache/documents/health.v4.json
+++ b/googleapiclient/discovery_cache/documents/health.v4.json
@@ -704,7 +704,7 @@
 ],
 "parameters": {
 "parent": {
-"description": "Optional. Parent (data type) for the Data Point collection Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/-` For a list of the supported data types see the DataPoint data union field. Deleting data points across multiple data type collections is supported following https://aip.dev/159. If this is set, the parent of all of the data points specified in `names` must match this field.",
+"description": "Optional. Parent (data type) for the Data Point collection Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/-` - `users/1234567890/dataTypes/-` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field. Deleting data points across multiple data type collections is supported following https://aip.dev/159. If this is set, the parent of all of the data points specified in `names` must match this field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -738,7 +738,7 @@
 ],
 "parameters": {
 "parent": {
-"description": "Required. The parent resource name where the data point will be created. Format: `users/{user}/dataTypes/{data_type}`",
+"description": "Required. The parent resource name where the data point will be created. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity).",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -772,7 +772,7 @@
 ],
 "parameters": {
 "parent": {
-"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/distance` For a list of the supported data types see the DailyRollupDataPoint value union field.",
+"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/distance` - `users/1234567890/dataTypes/distance` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DailyRollupDataPoint value union field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -806,7 +806,7 @@
 ]
 },
 "exportExerciseTcx": {
-"description": "Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.",
+"description": "Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.",
 "flatPath": "v4/users/{usersId}/dataTypes/{dataTypesId}/dataPoints/{dataPointsId}:exportExerciseTcx",
 "httpMethod": "GET",
 "id": "health.users.dataTypes.dataPoints.exportExerciseTcx",
@@ -815,7 +815,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Example: `users/me/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` is the alias `\"me\"` currently. Future versions may support user IDs. The `{data_point}` ID maps to the exercise ID, which is a long integer.",
+"description": "Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Examples: - `users/me/dataTypes/exercise/dataPoints/2026443605080188808` - `users/1234567890/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). The `{data_point}` ID maps to the exercise ID, which is a long integer.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+/dataPoints/[^/]+$",
 "required": true,
@@ -848,7 +848,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The name of the data point to retrieve. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` See DataPoint.name for examples and possible values.",
+"description": "Required. The name of the data point to retrieve. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). See DataPoint.name for examples and possible values.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+/dataPoints/[^/]+$",
 "required": true,
@@ -888,7 +888,7 @@
 ],
 "parameters": {
 "dataSourceFamily": {
-"description": "Optional. The data source family name to filter by. If empty, data points from all available data sources will be returned. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data types may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error. Filtering by data source family is not supported for the `sleep`, `food` and `food-measurement-unit` data types, because the underlying listing implementation cannot restrict results by data source. Such requests fail with `INVALID_ARGUMENT` when the data source family is set explicitly, and with `PERMISSION_DENIED` when the restriction is only implied by the caller's scopes. For `sleep`, use ReconcileDataPoints instead.",
+"description": "Optional. The data source family name to filter by. If empty, data points from all available data sources will be returned. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data types may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error. Filtering by data source family is not supported for the `sleep`, `food` and `food-measurement-unit` data types, because the underlying listing implementation cannot restrict results by data source. Such requests fail with `INVALID_ARGUMENT` when the data source family is set explicitly, and with `PERMISSION_DENIED` when the restriction is only implied by the caller's scopes. For `sleep`, use ReconcileDataPoints instead.",
 "location": "query",
 "type": "string"
 },
@@ -909,7 +909,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. Parent data type of the Data Point collection. Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/weight` For a list of the supported data types see the DataPoint data union field.",
+"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/weight` - `users/1234567890/dataTypes/weight` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -949,7 +949,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
+"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+/dataPoints/[^/]+$",
 "required": true,
@@ -983,7 +983,7 @@
 ],
 "parameters": {
 "dataSourceFamily": {
-"description": "Optional. The data source family name to reconcile. If empty, data points from all data sources will be reconciled. Format: `users/me/dataSourceFamilies/{data_source_family}` - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
+"description": "Optional. The data source family name to reconcile. If empty, data points from all data sources will be reconciled. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
 "location": "query",
 "type": "string"
 },
@@ -1004,7 +1004,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. Parent data type of the Data Point collection. Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/heart-rate` For a list of the supported data types see the DataPoint data union field.",
+"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/heart-rate` - `users/1234567890/dataTypes/heart-rate` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -1044,7 +1044,7 @@
 ],
 "parameters": {
 "parent": {
-"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/distance` For a list of the supported data types see the RollupDataPoint value union field.",
+"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/distance` - `users/1234567890/dataTypes/distance` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the RollupDataPoint value union field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -1149,7 +1149,7 @@
 }
 }
 },
-"revision": "20261002",
+"revision": "20261007",
 "rootUrl": "https://health.googleapis.com/",
 "schemas": {
 "ActiveEnergyBurned": {
@@ -2004,7 +2004,7 @@
 "id": "DailyRollUpDataPointsRequest",
 "properties": {
 "dataSourceFamily": {
-"description": "Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
+"description": "Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
 "type": "string"
 },
 "pageSize": {
@@ -2351,7 +2351,7 @@
 "description": "Optional. Data for points in the `moods` sample data type collection."
 },
 "name": {
-"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
+"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
 "type": "string"
 },
 "nutritionLog": {
@@ -3459,7 +3459,7 @@
 "id": "GoogleDevicesandservicesHealthV4DataType",
 "properties": {
 "name": {
-"description": "Identifier. The resource name of the data type. Format: `users/{user}/dataTypes/{data_type}` See DataPoint.name for examples and possible values.",
+"description": "Identifier. The resource name of the data type. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). See DataPoint.name for examples and possible values.",
 "type": "string"
 }
 },
@@ -3492,7 +3492,7 @@
 "id": "GoogleDevicesandservicesHealthV4betaDataType",
 "properties": {
 "name": {
-"description": "Identifier. The resource name of the data type. Format: `users/{user}/dataTypes/{data_type}` See DataPoint.name for examples and possible values.",
+"description": "Identifier. The resource name of the data type. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). See DataPoint.name for examples and possible values.",
 "type": "string"
 }
 },
@@ -5005,7 +5005,7 @@
 "description": "Data for points in the `daily-vo2-max` daily data type collection."
 },
 "dataPointName": {
-"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
+"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
 "type": "string"
 },
 "distance": {
@@ -5154,7 +5154,7 @@
 "id": "RollUpDataPointsRequest",
 "properties": {
 "dataSourceFamily": {
-"description": "Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
+"description": "Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
 "type": "string"
 },
 "pageSize": {
diff --git a/googleapiclient/discovery_cache/documents/health.v4beta.json b/googleapiclient/discovery_cache/documents/health.v4beta.json
index 197c306761..5cc4cfaa59 100644
--- a/googleapiclient/discovery_cache/documents/health.v4beta.json
+++ b/googleapiclient/discovery_cache/documents/health.v4beta.json
@@ -704,7 +704,7 @@
 ],
 "parameters": {
 "parent": {
-"description": "Optional. Parent (data type) for the Data Point collection Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/-` For a list of the supported data types see the DataPoint data union field. Deleting data points across multiple data type collections is supported following https://aip.dev/159. If this is set, the parent of all of the data points specified in `names` must match this field.",
+"description": "Optional. Parent (data type) for the Data Point collection Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/-` - `users/1234567890/dataTypes/-` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field. Deleting data points across multiple data type collections is supported following https://aip.dev/159. If this is set, the parent of all of the data points specified in `names` must match this field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -738,7 +738,7 @@
 ],
 "parameters": {
 "parent": {
-"description": "Required. The parent resource name where the data point will be created. Format: `users/{user}/dataTypes/{data_type}`",
+"description": "Required. The parent resource name where the data point will be created. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity).",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -772,7 +772,7 @@
 ],
 "parameters": {
 "parent": {
-"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/distance` For a list of the supported data types see the DailyRollupDataPoint value union field.",
+"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/distance` - `users/1234567890/dataTypes/distance` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DailyRollupDataPoint value union field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -806,7 +806,7 @@
 ]
 },
 "exportExerciseTcx": {
-"description": "Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. Example: `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.",
+"description": "Exports exercise data in TCX format. **IMPORTANT:** HTTP clients must append `?alt=media` to the request URL to download the raw TCX file. ## Examples: ## `https://health.googleapis.com/v4/users/me/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` `https://health.googleapis.com/v4/users/1234567890/dataTypes/exercise/dataPoints/EXERCISE_ID:exportExerciseTcx?alt=media` Without `alt=media`, the server returns a JSON response (`ExportExerciseTcxResponse`) which is intended primarily for gRPC clients. **Note:** While the Authorization section below states that any one of the listed scopes is accepted, this specific method requires the user to provide both one of the `activity_and_fitness` scopes (`normal` or `readonly`) AND one of the `location` scopes (`normal` or `readonly`) in their access token to succeed.",
 "flatPath": "v4beta/users/{usersId}/dataTypes/{dataTypesId}/dataPoints/{dataPointsId}:exportExerciseTcx",
 "httpMethod": "GET",
 "id": "health.users.dataTypes.dataPoints.exportExerciseTcx",
@@ -815,7 +815,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Example: `users/me/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` is the alias `\"me\"` currently. Future versions may support user IDs. The `{data_point}` ID maps to the exercise ID, which is a long integer.",
+"description": "Required. The resource name of the exercise data point to export. Format: `users/{user}/dataTypes/exercise/dataPoints/{data_point}` Examples: - `users/me/dataTypes/exercise/dataPoints/2026443605080188808` - `users/1234567890/dataTypes/exercise/dataPoints/2026443605080188808` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). The `{data_point}` ID maps to the exercise ID, which is a long integer.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+/dataPoints/[^/]+$",
 "required": true,
@@ -848,7 +848,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Required. The name of the data point to retrieve. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` See DataPoint.name for examples and possible values.",
+"description": "Required. The name of the data point to retrieve. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). See DataPoint.name for examples and possible values.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+/dataPoints/[^/]+$",
 "required": true,
@@ -888,7 +888,7 @@
 ],
 "parameters": {
 "dataSourceFamily": {
-"description": "Optional. The data source family name to filter by. If empty, data points from all available data sources will be returned. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data types may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error. Filtering by data source family is not supported for the `sleep`, `food` and `food-measurement-unit` data types, because the underlying listing implementation cannot restrict results by data source. Such requests fail with `INVALID_ARGUMENT` when the data source family is set explicitly, and with `PERMISSION_DENIED` when the restriction is only implied by the caller's scopes. For `sleep`, use ReconcileDataPoints instead.",
+"description": "Optional. The data source family name to filter by. If empty, data points from all available data sources will be returned. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data types may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error. Filtering by data source family is not supported for the `sleep`, `food` and `food-measurement-unit` data types, because the underlying listing implementation cannot restrict results by data source. Such requests fail with `INVALID_ARGUMENT` when the data source family is set explicitly, and with `PERMISSION_DENIED` when the restriction is only implied by the caller's scopes. For `sleep`, use ReconcileDataPoints instead.",
 "location": "query",
 "type": "string"
 },
@@ -909,7 +909,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. Parent data type of the Data Point collection. Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/weight` For a list of the supported data types see the DataPoint data union field.",
+"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/weight` - `users/1234567890/dataTypes/weight` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -949,7 +949,7 @@
 ],
 "parameters": {
 "name": {
-"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
+"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+/dataPoints/[^/]+$",
 "required": true,
@@ -983,7 +983,7 @@
 ],
 "parameters": {
 "dataSourceFamily": {
-"description": "Optional. The data source family name to reconcile. If empty, data points from all data sources will be reconciled. Format: `users/me/dataSourceFamilies/{data_source_family}` - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
+"description": "Optional. The data source family name to reconcile. If empty, data points from all data sources will be reconciled. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
 "location": "query",
 "type": "string"
 },
@@ -1004,7 +1004,7 @@
 "type": "string"
 },
 "parent": {
-"description": "Required. Parent data type of the Data Point collection. Format: `users/me/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/heart-rate` For a list of the supported data types see the DataPoint data union field.",
+"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/heart-rate` - `users/1234567890/dataTypes/heart-rate` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the DataPoint data union field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -1044,7 +1044,7 @@
 ],
 "parameters": {
 "parent": {
-"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/me/dataTypes/distance` For a list of the supported data types see the RollupDataPoint value union field.",
+"description": "Required. Parent data type of the Data Point collection. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` - `users/me/dataTypes/distance` - `users/1234567890/dataTypes/distance` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). For a list of the supported data types see the RollupDataPoint value union field.",
 "location": "path",
 "pattern": "^users/[^/]+/dataTypes/[^/]+$",
 "required": true,
@@ -1149,7 +1149,7 @@
 }
 }
 },
-"revision": "20261002",
+"revision": "20261007",
 "rootUrl": "https://health.googleapis.com/",
 "schemas": {
 "ActiveEnergyBurned": {
@@ -2004,7 +2004,7 @@
 "id": "DailyRollUpDataPointsRequest",
 "properties": {
 "dataSourceFamily": {
-"description": "Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
+"description": "Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
 "type": "string"
 },
 "pageSize": {
@@ -2355,7 +2355,7 @@
 "description": "Optional. Data for points in the `moods` sample data type collection."
 },
 "name": {
-"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
+"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
 "type": "string"
 },
 "nutritionLog": {
@@ -3471,7 +3471,7 @@
 "id": "GoogleDevicesandservicesHealthV4DataType",
 "properties": {
 "name": {
-"description": "Identifier. The resource name of the data type. Format: `users/{user}/dataTypes/{data_type}` See DataPoint.name for examples and possible values.",
+"description": "Identifier. The resource name of the data type. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). See DataPoint.name for examples and possible values.",
 "type": "string"
 }
 },
@@ -3504,7 +3504,7 @@
 "id": "GoogleDevicesandservicesHealthV4betaDataType",
 "properties": {
 "name": {
-"description": "Identifier. The resource name of the data type. Format: `users/{user}/dataTypes/{data_type}` See DataPoint.name for examples and possible values.",
+"description": "Identifier. The resource name of the data type. Format: `users/{user}/dataTypes/{data_type}`, e.g.: - `users/me/dataTypes/steps` - `users/1234567890/dataTypes/steps` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID (retrieved via GetIdentity). See DataPoint.name for examples and possible values.",
 "type": "string"
 }
 },
@@ -5017,7 +5017,7 @@
 "description": "Data for points in the `daily-vo2-max` daily data type collection."
 },
 "dataPointName": {
-"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` Example: `users/abcd1234/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` ID is a system-generated identifier, as described in Identity.health_user_id. The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
+"description": "Identifier. Data point name, only supported for the subset of identifiable data types. For the majority of the data types, individual data points do not need to be identified and this field would be empty. Format: `users/{user}/dataTypes/{data_type}/dataPoints/{data_point}` ## Examples: ## `users/me/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` `users/1234567890/dataTypes/sleep/dataPoints/a1b2c3d4-e5f6-7890-1234-567890abcdef` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, which can be retrieved by calling GetIdentity (see Identity.health_user_id). The `{data_type}` ID corresponds to the kebab-case version of the field names in the DataPoint data union field, e.g. `heart-rate` for the `heart_rate` field. The `{data_point}` ID can be client-provided or system-generated. If client-provided, it must be a string of 4-63 characters, containing only lowercase letters, numbers, and hyphens.",
 "type": "string"
 },
 "distance": {
@@ -5174,7 +5174,7 @@
 "id": "RollUpDataPointsRequest",
 "properties": {
 "dataSourceFamily": {
-"description": "Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/me/dataSourceFamilies/{data_source_family}` The supported values are: - `users/me/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/me/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/me/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/me/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
+"description": "Optional. The data source family name to roll up. If empty, data points from all available data sources will be rolled up. Format: `users/{user}/dataSourceFamilies/{data_source_family}` The `{user}` can be either the alias `me` or the authenticated user's numeric Health User ID, retrieved via GetIdentity (e.g. `users/me/dataSourceFamilies/...` or `users/1234567890/dataSourceFamilies/...`). The supported values are: - `users/{user}/dataSourceFamilies/all-sources` - Default value. Includes data from all available data sources. - `users/{user}/dataSourceFamilies/google-wearables` - Includes data from Google and Fitbit tracker devices (such as Fitbit trackers and Pixel Watch). Excludes manually logged data. - `users/{user}/dataSourceFamilies/google-sources` - Includes first-party Google data, such as data from tracker devices, manually logged data, and Health Connect. - `users/{user}/dataSourceFamilies/self-sources` - Includes only the data the calling client wrote through this API, that is, data points whose data source was registered through this API with the same OAuth client ID as the caller. Callers that were only granted write scopes for the requested data type may only read the data they wrote themselves: their requests are implicitly restricted to `self-sources`, and requesting any other data source family fails with `PERMISSION_DENIED`. If no data point matches the requested data source family, the response is an empty list rather than an error.",
 "type": "string"
 },
 "pageSize": {
@@ -5679,7 +5679,7 @@
 "type": "object"
 },
 "SkinTemperature": {
-"description": "////////////////////////////////////////////////////////////////////////// SkinTemperature ////////////////////////////////////////////////////////////////////////// Skin temperature measurement.",
+"description": "Skin temperature measurement.",
 "id": "SkinTemperature",
 "properties": {
 "baselineTemperatureCelsius": {
diff --git a/googleapiclient/discovery_cache/documents/networkservices.v1.json b/googleapiclient/discovery_cache/documents/networkservices.v1.json
index e671d70b92..b8eebc3cf7 100644
--- a/googleapiclient/discovery_cache/documents/networkservices.v1.json
+++ b/googleapiclient/discovery_cache/documents/networkservices.v1.json
@@ -4209,7 +4209,7 @@
 }
 }
 },
-"revision": "20260921",
+"revision": "20261004",
 "rootUrl": "https://networkservices.googleapis.com/",
 "schemas": {
 "AgentConnectivityTemplate": {
@@ -4253,13 +4253,15 @@
 "AGENT_COMPUTE_UNSPECIFIED",
 "GKE",
 "CLOUD_RUN",
-"BORG"
+"BORG",
+"GCE_VM"
 ],
 "enumDescriptions": [
 "Unspecified compute type.",
 "Google Kubernetes Engine.",
 "Google Cloud Run.",
-"Google Borg (for 1P producers)."
+"Google Borg (for 1P producers).",
+"Google Compute Engine VM."
 ],
 "type": "string"
 },
@@ -4954,7 +4956,7 @@
 "type": "object"
 },
 "matchConditions": {
-"description": "Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.",
+"description": "Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.",
 "items": {
 "$ref": "ExtensionBindingMatchCondition"
 },
@@ -4965,24 +4967,24 @@
 "type": "string"
 },
 "priority": {
-"description": "Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.",
+"description": "Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.",
 "format": "int32",
 "type": "integer"
 },
 "producerExtension": {
-"description": "Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))",
+"description": "Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.",
 "type": "string"
 },
 "producerMetadata": {
 "additionalProperties": {
 "type": "string"
 },
-"description": "Optional. Additional metadata that should be passed to the attached extension with each request.",
+"description": "Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.",
 "type": "object"
 },
 "target": {
 "$ref": "ExtensionBindingTarget",
-"description": "Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources."
+"description": "Required. Specifies a target to which this `ExtensionBinding` should be attached."
 },
 "updateTime": {
 "description": "Output only. The timestamp when the resource was updated.",
@@ -5024,23 +5026,23 @@
 "id": "ExtensionBindingMatchConditionStringMatch",
 "properties": {
 "contains": {
-"description": "Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``",
+"description": "Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.",
 "type": "string"
 },
 "exact": {
-"description": "Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.",
+"description": "Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.",
 "type": "string"
 },
 "ignoreCase": {
-"description": "Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.",
+"description": "Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.",
 "type": "boolean"
 },
 "prefix": {
-"description": "Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``",
+"description": "Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.",
 "type": "string"
 },
 "suffix": {
-"description": "Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``",
+"description": "Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.",
 "type": "string"
 }
 },
@@ -5052,7 +5054,7 @@
 "properties": {
 "destination": {
 "$ref": "ExtensionBindingMatchConditionToDestination",
-"description": "Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified."
+"description": "Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified."
 },
 "notDestination": {
 "$ref": "ExtensionBindingMatchConditionToDestination",
@@ -5098,7 +5100,7 @@
 "id": "ExtensionBindingMatchConditionToDestinationHeaderSet",
 "properties": {
 "headers": {
-"description": "Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.",
+"description": "Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.",
 "items": {
 "$ref": "ExtensionBindingMatchConditionHeaderMatch"
 },
@@ -5112,7 +5114,7 @@
 "id": "ExtensionBindingTarget",
 "properties": {
 "resources": {
-"description": "Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.",
+"description": "Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.",
 "items": {
 "type": "string"
 },
@@ -5130,11 +5132,11 @@
 "id": "ExtensionBindingTargetScope",
 "properties": {
 "parent": {
-"description": "Required. Parent resource name specification, in the format: `projects/{project_number}`.",
+"description": "Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.",
 "type": "string"
 },
 "resourceTypes": {
-"description": "Required. Type of the resource to which the binding should attach. Limited to 1 resource type.",
+"description": "Required. The types of resources to which the binding should attach. Limited to 1 resource type.",
 "items": {
 "enum": [
 "RESOURCE_TYPE_UNSPECIFIED",
diff --git a/googleapiclient/discovery_cache/documents/networkservices.v1beta1.json b/googleapiclient/discovery_cache/documents/networkservices.v1beta1.json
index bb4573b93d..763db488a3 100644
--- a/googleapiclient/discovery_cache/documents/networkservices.v1beta1.json
+++ b/googleapiclient/discovery_cache/documents/networkservices.v1beta1.json
@@ -3936,7 +3936,7 @@
 }
 }
 },
-"revision": "20260921",
+"revision": "20261004",
 "rootUrl": "https://networkservices.googleapis.com/",
 "schemas": {
 "AgentConnectivityTemplate": {
@@ -3980,13 +3980,15 @@
 "AGENT_COMPUTE_UNSPECIFIED",
 "GKE",
 "CLOUD_RUN",
-"BORG"
+"BORG",
+"GCE_VM"
 ],
 "enumDescriptions": [
 "Unspecified compute type.",
 "Google Kubernetes Engine.",
 "Google Cloud Run.",
-"Google Borg (for 1P producers)."
+"Google Borg (for 1P producers).",
+"Google Compute Engine VM."
 ],
 "type": "string"
 },
@@ -4608,7 +4610,7 @@
 "type": "object"
 },
 "matchConditions": {
-"description": "Optional. A list of match conditions to match against the incoming request. The extension will be invoked if at least one condition matches the request, or if no match conditions are specified. Limited to 5 conditions.",
+"description": "Optional. A list of match conditions to evaluate against the incoming request. The extension is invoked if the request matches at least one condition, or if no match conditions are specified. A request matches a condition only if it matches every field that is set in that condition. Limited to 5 conditions.",
 "items": {
 "$ref": "ExtensionBindingMatchCondition"
 },
@@ -4619,24 +4621,24 @@
 "type": "string"
 },
 "priority": {
-"description": "Optional. Priority of the extension binding. Lower numbers indicate higher priority. Priority of extension bindings are used to determine the order in which extension bindings are applied to a request.",
+"description": "Optional. Priority of the extension binding. Lower numbers indicate higher priority. The priority determines the order in which extension bindings are applied to a request.",
 "format": "int32",
 "type": "integer"
 },
 "producerExtension": {
-"description": "Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint (see [Model Armor integration](https://docs.cloud.google.com/model-armor/integrations))",
+"description": "Required. The name of the extension that this binding should attach to target resources. Format: For Google-provided extensions, specify the service endpoint, for example `modelarmor.us-central1.rep.googleapis.com`.",
 "type": "string"
 },
 "producerMetadata": {
 "additionalProperties": {
 "type": "string"
 },
-"description": "Optional. Additional metadata that should be passed to the attached extension with each request.",
+"description": "Optional. Additional metadata that should be passed to the attached extension with each request. This field is subject to the following limitations: * The total size of the metadata must be less than 1 KiB. * The total number of keys must be less than 16. * The length of each key must be less than 64 characters. * The length of each value must be less than 1024 characters.",
 "type": "object"
 },
 "target": {
 "$ref": "ExtensionBindingTarget",
-"description": "Required. Specifies a target to which this `ExtensionBinding` should be attached. The target can be either a single resource or a scope of resources."
+"description": "Required. Specifies a target to which this `ExtensionBinding` should be attached."
 },
 "updateTime": {
 "description": "Output only. The timestamp when the resource was updated.",
@@ -4678,23 +4680,23 @@
 "id": "ExtensionBindingMatchConditionStringMatch",
 "properties": {
 "contains": {
-"description": "Optional. The input string must have the substring specified here. Note: empty contains match is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc.def``",
+"description": "Optional. The input string must contain the substring specified here. An empty substring is not allowed. Examples: * `abc` matches the value `xyz.abc.def`.",
 "type": "string"
 },
 "exact": {
-"description": "Optional. The input string must match exactly the string specified here. Examples: * ``abc`` only matches the value ``abc``.",
+"description": "Optional. The input string must match exactly the string specified here. Examples: * `abc` only matches the value `abc`.",
 "type": "string"
 },
 "ignoreCase": {
-"description": "Optional. If true, indicates the exact/prefix/suffix/contains matching should be case insensitive. For example, the matcher ``data`` will match both input string ``Data`` and ``data`` if set to true.",
+"description": "Optional. If true, the `exact`, `prefix`, `suffix`, or `contains` match is case insensitive. For example, the matcher `data` matches both `Data` and `data` when set to true.",
 "type": "boolean"
 },
 "prefix": {
-"description": "Optional. The input string must have the prefix specified here. Note: empty prefix is not allowed. Examples: * ``abc`` matches the value ``abc.xyz``",
+"description": "Optional. The input string must have the prefix specified here. An empty prefix is not allowed. Examples: * `abc` matches the value `abc.xyz`.",
 "type": "string"
 },
 "suffix": {
-"description": "Optional. The input string must have the suffix specified here. Note: empty prefix is not allowed, please use regex instead. Examples: * ``abc`` matches the value ``xyz.abc``",
+"description": "Optional. The input string must have the suffix specified here. An empty suffix is not allowed. Examples: * `abc` matches the value `xyz.abc`.",
 "type": "string"
 }
 },
@@ -4706,7 +4708,7 @@
 "properties": {
 "destination": {
 "$ref": "ExtensionBindingMatchConditionToDestination",
-"description": "Optional. Describes properties of destination of a request. Within a destination, the match follows AND semantics across fields and OR semantics within a field, i.e. a match occurs when ANY path matches AND ANY header matches and ANY method matches. At least one of destination or not_destination must be specified."
+"description": "Optional. Describes properties of the destination of a request. A request matches the destination only if it matches every field that is set. Fields that are not set are always considered a match. For example, if only `hosts` and `paths` are set, a request matches when any host matches and any path matches. At least one of `destination` or `not_destination` must be specified."
 },
 "notDestination": {
 "$ref": "ExtensionBindingMatchConditionToDestination",
@@ -4752,7 +4754,7 @@
 "id": "ExtensionBindingMatchConditionToDestinationHeaderSet",
 "properties": {
 "headers": {
-"description": "Required. A list of headers to match against in http header. If multiple header matches are provided, they will be evaluated as an AND, i.e. all header matches must match for the request to match.",
+"description": "Required. A list of HTTP headers to match against. If multiple header matches are provided, they are evaluated as an AND, meaning that all header matches must match for the request to match. Limited to 10 headers.",
 "items": {
 "$ref": "ExtensionBindingMatchConditionHeaderMatch"
 },
@@ -4766,7 +4768,7 @@
 "id": "ExtensionBindingTarget",
 "properties": {
 "resources": {
-"description": "Optional. The reference to the target resource, to which this binding should attach. Exactly one of `resources` or `scope` must be set.",
+"description": "Optional. The references to the target resources to which this binding should attach. Exactly one of `resources` or `scope` must be set. For AI Application resources, specify the full resource name in the format: `projects/{project}/locations/{location}/applications/{application}`. Limited to 1 resource.",
 "items": {
 "type": "string"
 },
@@ -4784,11 +4786,11 @@
 "id": "ExtensionBindingTargetScope",
 "properties": {
 "parent": {
-"description": "Required. Parent resource name specification, in the format: `projects/{project_number}`.",
+"description": "Required. The parent resource that defines the scope, in the format `projects/{project_number}`. When the scope is a project, the binding applies to the resources that meet all of the following conditions: * The resource belongs to the specified project. * The resource is in the same location as the `ExtensionBinding`. * The resource type is listed in `resource_types`.",
 "type": "string"
 },
 "resourceTypes": {
-"description": "Required. Type of the resource to which the binding should attach. Limited to 1 resource type.",
+"description": "Required. The types of resources to which the binding should attach. Limited to 1 resource type.",
 "items": {
 "enum": [
 "RESOURCE_TYPE_UNSPECIFIED",
diff --git a/googleapiclient/discovery_cache/documents/osconfig.v2.json b/googleapiclient/discovery_cache/documents/osconfig.v2.json
index 9b0c7cc26b..83db9fd7a5 100644
--- a/googleapiclient/discovery_cache/documents/osconfig.v2.json
+++ b/googleapiclient/discovery_cache/documents/osconfig.v2.json
@@ -1314,7 +1314,7 @@
 }
 }
 },
-"revision": "20260611",
+"revision": "20261001",
 "rootUrl": "https://osconfig.googleapis.com/",
 "schemas": {
 "CancelOperationRequest": {
@@ -1625,7 +1625,7 @@
 "id": "GoogleCloudOsconfigV2__OrchestrationScope",
 "properties": {
 "selectors": {
-"description": "Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.",
+"description": "Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.",
 "items": {
 "$ref": "GoogleCloudOsconfigV2_OrchestrationScope_Selector"
 },
diff --git a/googleapiclient/discovery_cache/documents/osconfig.v2beta.json b/googleapiclient/discovery_cache/documents/osconfig.v2beta.json
index 11e631ec4d..90440a2c75 100644
--- a/googleapiclient/discovery_cache/documents/osconfig.v2beta.json
+++ b/googleapiclient/discovery_cache/documents/osconfig.v2beta.json
@@ -1314,7 +1314,7 @@
 }
 }
 },
-"revision": "20260611",
+"revision": "20261001",
 "rootUrl": "https://osconfig.googleapis.com/",
 "schemas": {
 "CancelOperationRequest": {
@@ -1669,7 +1669,7 @@
 "id": "GoogleCloudOsconfigV2beta__OrchestrationScope",
 "properties": {
 "selectors": {
-"description": "Optional. Selectors of the orchestration scope. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.",
+"description": "Optional. Selectors of the orchestration scope. Each `Selector` entry can specify either a `ResourceHierarchySelector` or a `LocationSelector`, but not both. To filter by both resource hierarchy and location, specify separate `Selector` entries for each selector type. There is a logical AND between each selector defined. When there is no explicit `ResourceHierarchySelector` selector specified, the scope is by default bounded to the parent of the policy orchestrator resource.",
 "items": {
 "$ref": "GoogleCloudOsconfigV2beta_OrchestrationScope_Selector"
 },
diff --git a/googleapiclient/discovery_cache/documents/sheets.v4.json b/googleapiclient/discovery_cache/documents/sheets.v4.json
index ea4f2ee8c1..d4514dcffd 100644
--- a/googleapiclient/discovery_cache/documents/sheets.v4.json
+++ b/googleapiclient/discovery_cache/documents/sheets.v4.json
@@ -178,7 +178,7 @@
 ],
 "parameters": {
 "commentsViewMode": {
-"description": "The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -892,7 +892,7 @@
 }
 }
 },
-"revision": "20260921",
+"revision": "20260930",
 "rootUrl": "https://sheets.googleapis.com/",
 "schemas": {
 "AddBandingRequest": {
@@ -940,7 +940,7 @@
 "type": "object"
 },
 "AddCommentReplyRequest": {
-"description": "Inserts a reply Post into a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Inserts a reply Post into a CommentThread.",
 "id": "AddCommentReplyRequest",
 "properties": {
 "commentId": {
@@ -955,7 +955,7 @@
 "type": "object"
 },
 "AddCommentReplyResponse": {
-"description": "The result of creating a reply. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The result of creating a reply.",
 "id": "AddCommentReplyResponse",
 "properties": {
 "post": {
@@ -1877,7 +1877,7 @@
 "id": "BatchUpdateSpreadsheetRequest",
 "properties": {
 "commentsViewMode": {
-"description": "The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. Meaningful only if include_spreadsheet_in_response is 'true'. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. Meaningful only if include_spreadsheet_in_response is 'true'.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -1922,7 +1922,7 @@
 "id": "BatchUpdateSpreadsheetResponse",
 "properties": {
 "commentUpdateState": {
-"description": "Whether comment updates were applied in the batch request. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Whether comment updates were applied in the batch request.",
 "enum": [
 "COMMENT_UPDATE_STATE_UNSPECIFIED",
 "NO_UPDATES_REQUESTED",
@@ -3182,7 +3182,7 @@
 "type": "object"
 },
 "CommentAnchor": {
-"description": "A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "A location in the spreadsheet that is tied to a CommentThread with the same anchorId. Note: Multiple anchors may refer to the same location.",
 "id": "CommentAnchor",
 "properties": {
 "anchorId": {
@@ -3197,7 +3197,7 @@
 "type": "object"
 },
 "CommentThread": {
-"description": "Represents a single comment thread inside a spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a single comment thread inside a spreadsheet.",
 "id": "CommentThread",
 "properties": {
 "anchorId": {
@@ -4065,7 +4065,7 @@
 "type": "object"
 },
 "DeleteCommentReplyRequest": {
-"description": "Deletes a reply Post from a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains a comment action. - The reply post contains an assignee. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Deletes a reply Post from a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains a comment action. - The reply post contains an assignee.",
 "id": "DeleteCommentReplyRequest",
 "properties": {
 "commentId": {
@@ -4080,7 +4080,7 @@
 "type": "object"
 },
 "DeleteCommentRequest": {
-"description": "Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost.",
 "id": "DeleteCommentRequest",
 "properties": {
 "commentId": {
@@ -4948,7 +4948,7 @@
 "id": "GetSpreadsheetByDataFilterRequest",
 "properties": {
 "commentsViewMode": {
-"description": "The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comments view mode to apply to the spreadsheet. This allows viewing the spreadsheet with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -5224,7 +5224,7 @@
 "type": "object"
 },
 "InsertCommentRequest": {
-"description": "Inserts a CommentThread into the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Inserts a CommentThread into the spreadsheet.",
 "id": "InsertCommentRequest",
 "properties": {
 "assigneeEmailAddress": {
@@ -5243,7 +5243,7 @@
 "type": "object"
 },
 "InsertCommentResponse": {
-"description": "The result of creating a comment. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The result of creating a comment.",
 "id": "InsertCommentResponse",
 "properties": {
 "commentThread": {
@@ -6204,7 +6204,7 @@
 "type": "object"
 },
 "Post": {
-"description": "Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a single post in a comment thread.",
 "id": "Post",
 "properties": {
 "assigneeEmail": {
@@ -6269,7 +6269,7 @@
 "type": "object"
 },
 "PostAuthor": {
-"description": "Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a user who authored a comment post.",
 "id": "PostAuthor",
 "properties": {
 "anonymous": {
@@ -6476,7 +6476,7 @@
 },
 "addCommentReply": {
 "$ref": "AddCommentReplyRequest",
-"description": "Adds a reply to a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Adds a reply to a CommentThread."
 },
 "addConditionalFormatRule": {
 "$ref": "AddConditionalFormatRuleRequest",
@@ -6556,11 +6556,11 @@
 },
 "deleteComment": {
 "$ref": "DeleteCommentRequest",
-"description": "Deletes a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Deletes a CommentThread."
 },
 "deleteCommentReply": {
 "$ref": "DeleteCommentReplyRequest",
-"description": "Deletes a reply Post from a CommentThread [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Deletes a reply Post from a CommentThread"
 },
 "deleteConditionalFormatRule": {
 "$ref": "DeleteConditionalFormatRuleRequest",
@@ -6628,7 +6628,7 @@
 },
 "insertComment": {
 "$ref": "InsertCommentRequest",
-"description": "Inserts a CommentThread into the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Inserts a CommentThread into the spreadsheet."
 },
 "insertDimension": {
 "$ref": "InsertDimensionRequest",
@@ -6704,7 +6704,7 @@
 },
 "updateCommentPost": {
 "$ref": "UpdateCommentPostRequest",
-"description": "Updates an existing post (head post or reply) of a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Updates an existing post (head post or reply) of a CommentThread."
 },
 "updateConditionalFormatRule": {
 "$ref": "UpdateConditionalFormatRuleRequest",
@@ -6779,7 +6779,7 @@
 },
 "addCommentReply": {
 "$ref": "AddCommentReplyResponse",
-"description": "The result of creating a reply. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "The result of creating a reply."
 },
 "addDataSource": {
 "$ref": "AddDataSourceResponse",
@@ -6851,7 +6851,7 @@
 },
 "insertComment": {
 "$ref": "InsertCommentResponse",
-"description": "The result of creating a comment. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "The result of creating a comment."
 },
 "refreshDataSource": {
 "$ref": "RefreshDataSourceResponse",
@@ -7066,7 +7066,7 @@
 "type": "array"
 },
 "commentAnchors": {
-"description": "The comment anchors on this sheet. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comment anchors on this sheet.",
 "items": {
 "$ref": "CommentAnchor"
 },
@@ -7383,14 +7383,14 @@
 "id": "Spreadsheet",
 "properties": {
 "comments": {
-"description": "The comment threads associated with the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comment threads associated with the spreadsheet.",
 "items": {
 "$ref": "CommentThread"
 },
 "type": "array"
 },
 "commentsViewMode": {
-"description": "Output only. The comments view mode applied to the spreadsheet. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The comments view mode applied to the spreadsheet.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -8086,7 +8086,7 @@
 "type": "object"
 },
 "UpdateCommentPostRequest": {
-"description": "Updates a Post in a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Updates a Post in a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post.",
 "id": "UpdateCommentPostRequest",
 "properties": {
 "commentId": {
diff --git a/googleapiclient/discovery_cache/documents/slides.v1.json b/googleapiclient/discovery_cache/documents/slides.v1.json
index 31c1438a6a..35e059e2b1 100644
--- a/googleapiclient/discovery_cache/documents/slides.v1.json
+++ b/googleapiclient/discovery_cache/documents/slides.v1.json
@@ -187,7 +187,7 @@
 ],
 "parameters": {
 "commentsViewMode": {
-"description": "The comments view mode to apply to the presentation. This allows viewing the presentation with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comments view mode to apply to the presentation. This allows viewing the presentation with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -238,7 +238,7 @@
 ],
 "parameters": {
 "commentsViewMode": {
-"description": "The comments view mode to apply to the page. This allows viewing the page with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The comments view mode to apply to the page. This allows viewing the page with comments omitted or included. If one is not specified, COMMENTS_VIEW_MODE_OMITTED is used.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -349,11 +349,11 @@
 }
 }
 },
-"revision": "20260921",
+"revision": "20260930",
 "rootUrl": "https://slides.googleapis.com/",
 "schemas": {
 "AddCommentReplyRequest": {
-"description": "Inserts a reply Post into a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Inserts a reply Post into a CommentThread.",
 "id": "AddCommentReplyRequest",
 "properties": {
 "commentId": {
@@ -368,7 +368,7 @@
 "type": "object"
 },
 "AddCommentReplyResponse": {
-"description": "The result of creating a reply. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The result of creating a reply.",
 "id": "AddCommentReplyResponse",
 "properties": {
 "post": {
@@ -512,7 +512,7 @@
 "id": "BatchUpdatePresentationResponse",
 "properties": {
 "commentUpdateState": {
-"description": "Whether comment updates were applied in the batch request. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Whether comment updates were applied in the batch request.",
 "enum": [
 "COMMENT_UPDATE_STATE_UNSPECIFIED",
 "NO_UPDATES_REQUESTED",
@@ -605,7 +605,7 @@
 "type": "object"
 },
 "CommentAnchor": {
-"description": "Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages, [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Contains a list of all locations in a `Page` that are anchored to a CommentThread via the same anchorId. Multiple separate anchors may refer to the same location, either within a `Page` or across different pages,",
 "id": "CommentAnchor",
 "properties": {
 "anchorId": {
@@ -623,7 +623,7 @@
 "type": "object"
 },
 "CommentThread": {
-"description": "Represents a single comment thread inside a presentation. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a single comment thread inside a presentation.",
 "id": "CommentThread",
 "properties": {
 "anchorId": {
@@ -1328,7 +1328,7 @@
 "type": "object"
 },
 "DeleteCommentReplyRequest": {
-"description": "Deletes a reply Post from a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains a comment action. - The reply post contains an assignee. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Deletes a reply Post from a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. - The reply post contains a comment action. - The reply post contains an assignee.",
 "id": "DeleteCommentReplyRequest",
 "properties": {
 "commentId": {
@@ -1343,7 +1343,7 @@
 "type": "object"
 },
 "DeleteCommentRequest": {
-"description": "Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Deletes a CommentThread. Returns a 400 bad request error if the requesting user is not the author of the headPost.",
 "id": "DeleteCommentRequest",
 "properties": {
 "commentId": {
@@ -1596,7 +1596,7 @@
 "type": "object"
 },
 "InsertCommentRequest": {
-"description": "Inserts a CommentThread into the presentation. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Inserts a CommentThread into the presentation.",
 "id": "InsertCommentRequest",
 "properties": {
 "assigneeEmailAddress": {
@@ -1627,7 +1627,7 @@
 "type": "object"
 },
 "InsertCommentResponse": {
-"description": "The result of creating a comment. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "The result of creating a comment.",
 "id": "InsertCommentResponse",
 "properties": {
 "commentThread": {
@@ -2088,7 +2088,7 @@
 "type": "object"
 },
 "ObjectAnchor": {
-"description": "Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents comment anchor data tied to a Slides object, for example a `Page` or PageElement.",
 "id": "ObjectAnchor",
 "properties": {
 "objectId": {
@@ -2237,21 +2237,21 @@
 "id": "Page",
 "properties": {
 "commentAnchors": {
-"description": "Output only. The comment anchors present on the page. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The comment anchors present on the page.",
 "items": {
 "$ref": "CommentAnchor"
 },
 "type": "array"
 },
 "comments": {
-"description": "Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The comment threads associated with the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. Otherwise, comments are returned in the Presentation via the GetPresentationRequest.",
 "items": {
 "$ref": "CommentThread"
 },
 "type": "array"
 },
 "commentsViewMode": {
-"description": "Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The comments view mode applied to the page. Only populated if the page was fetched via a GetPageRequest with a populated comments_view_mode.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -2600,7 +2600,7 @@
 "type": "object"
 },
 "Post": {
-"description": "Represents a single post in a comment thread. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a single post in a comment thread.",
 "id": "Post",
 "properties": {
 "assigneeEmail": {
@@ -2665,7 +2665,7 @@
 "type": "object"
 },
 "PostAuthor": {
-"description": "Represents a user who authored a comment post. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents a user who authored a comment post.",
 "id": "PostAuthor",
 "properties": {
 "anonymous": {
@@ -2692,14 +2692,14 @@
 "id": "Presentation",
 "properties": {
 "comments": {
-"description": "Output only. The comment threads associated with the presentation. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The comment threads associated with the presentation.",
 "items": {
 "$ref": "CommentThread"
 },
 "type": "array"
 },
 "commentsViewMode": {
-"description": "Output only. The comments view mode applied to the presentation. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Output only. The comments view mode applied to the presentation.",
 "enum": [
 "COMMENTS_VIEW_MODE_UNSPECIFIED",
 "COMMENTS_VIEW_MODE_DEFAULT_FOR_CURRENT_ACCESS",
@@ -3059,7 +3059,7 @@
 "properties": {
 "addCommentReply": {
 "$ref": "AddCommentReplyRequest",
-"description": "Adds a reply to a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Adds a reply to a CommentThread."
 },
 "createImage": {
 "$ref": "CreateImageRequest",
@@ -3095,11 +3095,11 @@
 },
 "deleteComment": {
 "$ref": "DeleteCommentRequest",
-"description": "Deletes a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Deletes a CommentThread."
 },
 "deleteCommentReply": {
 "$ref": "DeleteCommentReplyRequest",
-"description": "Deletes a reply Post from a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Deletes a reply Post from a CommentThread."
 },
 "deleteObject": {
 "$ref": "DeleteObjectRequest",
@@ -3131,7 +3131,7 @@
 },
 "insertComment": {
 "$ref": "InsertCommentRequest",
-"description": "Inserts a CommentThread into the presentation. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Inserts a CommentThread into the presentation."
 },
 "insertTableColumns": {
 "$ref": "InsertTableColumnsRequest",
@@ -3183,7 +3183,7 @@
 },
 "updateCommentPost": {
 "$ref": "UpdateCommentPostRequest",
-"description": "Updates an existing post (head post or reply) of a CommentThread. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "Updates an existing post (head post or reply) of a CommentThread."
 },
 "updateImageProperties": {
 "$ref": "UpdateImagePropertiesRequest",
@@ -3273,7 +3273,7 @@
 "properties": {
 "addCommentReply": {
 "$ref": "AddCommentReplyResponse",
-"description": "The result of creating a reply. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "The result of creating a reply."
 },
 "createImage": {
 "$ref": "CreateImageResponse",
@@ -3313,7 +3313,7 @@
 },
 "insertComment": {
 "$ref": "InsertCommentResponse",
-"description": "The result of creating a comment. [Developer Preview](https://developers.google.com/workspace/preview)."
+"description": "The result of creating a comment."
 },
 "replaceAllShapesWithImage": {
 "$ref": "ReplaceAllShapesWithImageResponse",
@@ -3818,7 +3818,7 @@
 "type": "object"
 },
 "ShapeTextAnchor": {
-"description": "An anchor to a specific range of text within a Shape's text. [Developer Preview](https://developers.google.com/workspace/preview). To insert comments in speaker notes, use the ShapeTextAnchor with the speaker notes object ID.",
+"description": "An anchor to a specific range of text within a Shape's text. To insert comments in speaker notes, use the ShapeTextAnchor with the speaker notes object ID.",
 "id": "ShapeTextAnchor",
 "properties": {
 "objectId": {
@@ -3833,7 +3833,7 @@
 "type": "object"
 },
 "ShapeTextAnchors": {
-"description": "Represents text ranges within a shape covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents text ranges within a shape covered by a comment anchor.",
 "id": "ShapeTextAnchors",
 "properties": {
 "ranges": {
@@ -4041,7 +4041,7 @@
 "type": "object"
 },
 "TableAnchor": {
-"description": "An anchor to a specific range of cells within a Table. Used to anchor a comment to all of the text in each cell in a range within a table. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "An anchor to a specific range of cells within a Table. Used to anchor a comment to all of the text in each cell in a range within a table.",
 "id": "TableAnchor",
 "properties": {
 "objectId": {
@@ -4162,7 +4162,7 @@
 "type": "object"
 },
 "TableCellAnchors": {
-"description": "Represents table cell ranges within a table covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents table cell ranges within a table covered by a comment anchor.",
 "id": "TableCellAnchors",
 "properties": {
 "cellRanges": {
@@ -4247,7 +4247,7 @@
 "type": "object"
 },
 "TableCellTextAnchor": {
-"description": "An anchor to a specific range of text within a TableCell's TextElement. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "An anchor to a specific range of text within a TableCell's TextElement.",
 "id": "TableCellTextAnchor",
 "properties": {
 "cellLocation": {
@@ -4266,7 +4266,7 @@
 "type": "object"
 },
 "TableCellTextRanges": {
-"description": "Represents text ranges within a table cell covered by a comment anchor. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Represents text ranges within a table cell covered by a comment anchor.",
 "id": "TableCellTextRanges",
 "properties": {
 "cellLocation": {
@@ -4399,7 +4399,7 @@
 "type": "object"
 },
 "TextRange": {
-"description": "Specifies a contiguous range of text within a shape or table cell's text. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Specifies a contiguous range of text within a shape or table cell's text.",
 "id": "TextRange",
 "properties": {
 "endIndex": {
@@ -4601,7 +4601,7 @@
 "type": "object"
 },
 "UpdateCommentPostRequest": {
-"description": "Updates a Post in a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post. [Developer Preview](https://developers.google.com/workspace/preview).",
+"description": "Updates a Post in a CommentThread. Returns a 400 bad request error if: - The requesting user is not the author of the post.",
 "id": "UpdateCommentPostRequest",
 "properties": {
 "commentId": {
diff --git a/googleapiclient/discovery_cache/documents/sqladmin.v1beta4.json b/googleapiclient/discovery_cache/documents/sqladmin.v1beta4.json
index 0d009ce420..61882c25b9 100644
--- a/googleapiclient/discovery_cache/documents/sqladmin.v1beta4.json
+++ b/googleapiclient/discovery_cache/documents/sqladmin.v1beta4.json
@@ -3721,7 +3721,7 @@
 }
 }
 },
-"revision": "20260908",
+"revision": "20260920",
 "rootUrl": "https://sqladmin.googleapis.com/",
 "schemas": {
 "AclEntry": {
@@ -10141,7 +10141,7 @@ false
 "properties": {
 "startWorkloadReplayContext": {
 "$ref": "StartWorkloadReplayContext",
-"description": "Optional. Contains details about the start workload replay operation."
+"description": "Required. Contains details about the start workload replay operation."
 }
 },
 "type": "object"
@@ -10163,7 +10163,7 @@ false
 "properties": {
 "stopWorkloadReplayContext": {
 "$ref": "StopWorkloadReplayContext",
-"description": "Optional. Contains details about the stop workload replay operation."
+"description": "Required. Contains details about the stop workload replay operation."
 }
 },
 "type": "object"