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
- Context caching not working with Agent Engine (VertexAiSessionService drops cache_metadata)
- fix(eval): join list[str] instructions into str before AgentDetails validation
- [Tests] Introduce `autoformat.sh` Script Into `./scripts/unittests.sh`
- adk deploy app-engine with --validate-agent-import parameter fails because .env files are not included.
- fix: suppress UserWarning when logging function_call responses
- fix: Add relative_to param to load_skill_from_dir for path resolution
- fix: filter thought parts from A2A client user-facing response
- fix: Fix 6 validated bugs in BigQuery Agent Analytics Plugin
- Images that are included into instructions via {artifact.<name>} syntax should allow a underlying LLM for image processing/interpeting.
- A2A client renders thought parts together with final user-facing response
- Docs
- Python not yet supported