feat(integrations): add auto-instrumentation for 6 agent frameworks#112
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Adds agent-strace auto command and AGENT_STRACE_AUTO_INSTRUMENT env var to instrument OpenAI Agents, LangChain, LiteLLM, Anthropic, OpenAI, and AWS Strands without modifying application code. Each integration is an optional extra in pyproject.toml — the core package stays dependency-free. Closes #102 Co-authored-by: Ona <no-reply@ona.com>
Co-authored-by: Ona <no-reply@ona.com>
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Adds zero-code auto-instrumentation for 6 agent frameworks. No application code changes required — just set an env var or run via
agent-strace auto.Changes
agent-strace auto --framework langchain -- python my_agent.py— run with instrumentationAGENT_STRACE_AUTO_INSTRUMENT=langchain,litellm python my_agent.py— env var mode--detectflag auto-detects all installed frameworksfrom agent_trace.integrations import instrument_langchain— programmatic APISupported frameworks:
pip install agent-strace[openai-agents]) — Runner.run, FunctionTool callspip install agent-strace[langchain]) — BaseTool._run, BaseChatModel._generatepip install agent-strace[litellm]) — litellm.completionpip install agent-strace[strands]) — Agent.call, BaseTool.invokeEach integration is an optional extra in
pyproject.toml— the core package stays dependency-free (ADR-0003). All patches are idempotent and reversible.tests/test_auto_instrument.pyCloses #102