[dependabot]

Bumps com.github.haifengl:smile-base from 4.4.0 to 7.0.0.

Release notes

Sourced from com.github.haifengl:smile-base's releases.

7.0.0

SMILE 7.0.0 Release Notes

Welcome to SMILE 7.0.0! This major release unifies high-performance JVM machine learning with the next generation of agentic data science. Version 7.0.0 introduces autonomous desktop automation, multi-agent orchestration, high-throughput LLM serving with batched Multi-Token Prediction (MTP) speculative decoding, native Kotlin and Scala 3 notebook kernels, an extensive productivity and research skills suite, time series forecasting (ARIMA/ARMA), and comprehensive stability and security hardening across Studio and the Agent harness.

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✨ New Features

🤖 AI Agents & Desktop Automation

• 🖥️ Desktop Operator Agent (@chuck):
  • Introduced Chuck, a specialized desktop automation agent capable of interacting directly with GUI applications via screenshot analysis, mouse navigation, and keyboard control.
  • Safe desktop automation pipeline with coordinate mapping, interactive user confirmation, and automatic session bounds.
• 👔 Chief of Staff Agent (@frank):
  • Added Frank to coordinate multi-agent teams, synthesize status reports across active agents, track project priorities, and lead cross-agent briefings.
• Dynamic Agent Catalog:
  • Studio now discovers and loads agent personas dynamically from configuration specifications, with clean peer-to-peer delegation and request queuing.

⚡ High-Performance LLM Serving & Speculative Decoding

• Batched Multi-Token Prediction (MTP) Speculative Decoding:
  • Implemented high-throughput batched MTP speculative decoding with persistent per-request draft histories, enabled by default in smile.serve.
  • Accelerated generation with fused DeltaNet window operations, eager FlashInfer attention, and CUDA graph verification for low-latency token generation.
• SHAP Explanations in Model Serving:
  • Native SHAP explanation payloads in REST inference responses with clean 3-decimal formatting and zero overhead when unrequested.
• Dynamic Model Loading & Control APIs:
  • Dynamically load and unload models on the fly via POST /api/v1/models/load.
  • Added real-time telemetry, model control, and health endpoints (/smile/{id}, /onnx/{id}, and /q/health).
  • Native Prometheus metrics scraping integration.
  • Support for ONNX Runtime 1.30, ONNX Runtime GenAI models (including Phi-4 mini), LibTorch 2.14.1, and automatic KV-cache precision selection (auto).
• Centralized Prometheus metrics API:
  • GET /q/metrics: Single scrape target formatted according to standard Prometheus text specifications.
  • Multidimensional Labeling: Every time-series metric carries a model_id label, allowing unified visualization dashboards (e.g., Grafana) with dynamic multi-tenant filtering.
  • Microsecond Precision: Latency observations, throughput gauges, and cache counters are recorded with sub-millisecond fidelity via Micrometer.
  • Non-blocking Execution: Metric tracking uses atomic primitives and lightweight histograms without introducing latency penalties to inference pipelines.

📚 Expanded Skills Suite

• Comprehensive Document Processing:
  • Excel (excel-processing): Read, analyze, create, and format spreadsheets (.xlsx, .csv) with support for formulas, styles, and embedded charts.
  • Word (word-processing): Parse, edit, and generate Microsoft Word documents (.docx) with precise layout and typography control.
  • PDF (pdf-processing): Extract, analyze, and render publication-quality PDF reports and slide decks.
• Research & Development Skills:
  • Deep Research (research): Multi-source web search and structured synthesis for market research and competitive analysis.
  • Weekly Briefing (weekly-briefing): Automated status roll-ups and progress tracking across all agent session logs.
  • Scientific Posters (posters): Design and generate conference posters and presentation materials.
  • Git Commit (git-commit): Intelligent, conventional commit generation from working directory diffs.
  • Skill Creator (skill-creator): Interactive creation, evaluation, and optimization of custom agent skills.

📓 Interactive Notebooks & Polyglot Data Science

• 🚀 Native Kotlin Scripting Kernel:
  • Interactive Kotlin notebooks (.kts) powered by the Kotlin Custom Scripting Host API with full access to SMILE algorithms.

... (truncated)

Commits

• e9e942a v7.0.0
• eb235ab update emoji
• 8effce8 fix header seperator
• d721cee update release notes
• 3ef0260 update dependencies
• 9e1ad43 Merge branch 'master' into torch
• 06c339e Merge branch 'master' of https://github.com/haifengl/smile
• e67615d skip :spark:test
• ae73ca2 Disable cross-module parallelism and skip :studio:test
• 9b91638 restrict JVM memory to gradle daemon
• Additional commits viewable in compare view

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