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
- A2aAgentExecutor sends the raw exception text to the A2A caller when the run fails
- Allow LLM-as-judge evaluation metrics to use configured LiteLLM proxy credentials
- Feature request: Semaprax policy-plugin example for before_tool_callback
- rubric_based_final_response_quality_v1 errors when the agent replies from a before_agent_callback
- fix: evaluate callback responses without captured agent details
- Please support mermaid 12 (inbuild elk) in `adk web`
- feat(eval): expose session state to custom evaluators
- Maintainer alignment: potential Agent Memory Guard provider and guarded memory-service boundary
- fix: return structured tool error when a required path param is missing
- Live inference_call_count_v1 changes with text chunk boundaries
- Docs
- Python not yet supported