adk-python
https://github.com/google/adk-python
Python
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
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- Issues
- test: pin EvalCase session state injection into agent instructions
- Follow-up to #4309: fix for failed A2A tasks needs both _handle_a2a_response/_v2, _compat.TS_FAILED, and error_code — still reproducible in 2.6.2
- fix(evaluation): record NOT_EVALUATED instead of dropping invocations with zero auto-rater samples
- fix(a2a): mark failed A2A tasks as error events
- fix(evaluation): NOT_EVALUATED metric no longer masked by a passing one
- fix(eval): generate Agent Engine-compliant eval session IDs
- fix(a2a): send append=True for the final chunk of a streamed artifact
- fix(skills): validate skill_id path segments before GCS blob lookup
- Context Compaction breaks Session with Workflow + DatabaseSessionService When Compaction is not on Last Agent
- ApiServer.get_fast_api_app() registers unbounded in-memory span exporters (memory leak on long-lived servers)
- Docs
- Python not yet supported