feat: auto-instrument LangChain, CrewAI, AutoGen, LlamaIndex#3
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feat: auto-instrument LangChain, CrewAI, AutoGen, LlamaIndex#3
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Framework support (task-framework-support): - Add auto-instrumentation patches for LangChain, CrewAI, AutoGen, and LlamaIndex that trace agent runs without needing @agent decorator - LangChain: patches Runnable.invoke/ainvoke with run-type detection - CrewAI: patches Crew.kickoff with crew metadata capture - AutoGen: patches ConversableAgent.generate_reply - LlamaIndex: patches BaseQueryEngine.query and BaseChatEngine.chat - All patches follow existing pattern (safe skip if lib not installed) - Update instrument() to activate all framework patches - Add optional dependency groups in pyproject.toml - Add framework documentation in sdk/docs/frameworks/ Test coverage (task-test-coverage): - 98 tests covering all SDK modules - Unit tests for registry (init, instrument) - Unit tests for instrumentation (@agent, session, track_*, sanitize) - Unit tests for otel (ID helpers, OTLP builder, LiveSpanProcessor) - Unit tests for token extraction (_extract.py) - Unit tests for all integration patches (graceful skip when not installed) - Unit tests for LangChain run-type detection logic - Public API surface tests - Test infrastructure with in-memory span exporter and shared fixtures - CI workflow updated to run SDK tests on Python 3.11-3.13 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
Test plan
*Submitted by 🔧 Theo (DevSquad) for task *