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
- validate_schema skips validation for non-BaseModel schemas (list[str], dict[…], raw JSON Schema)
- feat(samples): add samples for the context filter, Model Armor and BigQuery analytics plugins
- service_level = "priority" does not work with VertexAI
- fix(telemetry): set gen_ai.response.model on LLM spans
- fix(tools): return event.output/skip_summarization result when AgentTool's final event has no text
- fix(a2a): close task-mode delegation when a plain A2A peer completes without finish_task
- fix(a2a): send long-running calls once from the legacy executor
- fix(integrations): run BigQuery forecast/analyze_contribution/detect_anomalies off the event loop
- fix(a2a): aggregate streamed text into a final non-partial event in RemoteA2aAgent
- Cache-stable progressive disclosure of tools (deferred tools + per-turn selection hook)
- Docs
- Python not yet supported