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
- fix(memory): exclude thought parts from SQLite search results
- `run_live`: change instruction/tools or transfer agents on the open Live connection (`send_context_update`, in-session transfer)
- LiteLlm finalizes a stream cut off mid-answer as finish_reason STOP with no error
- fix(telemetry): record a LiteLlm streamed answer once, not chunks plus aggregate
- McpToolset: opt-in support for MCP server instructions
- ApigeeLlm: streamed responses drop reasoning tokens and cached prompt tokens from usage_metadata
- delete_files confirmation is a model-controlled tool argument
- BigQueryAgentAnalyticsPlugin: log token usage for live (run_live) sessions
- fix(models): stop Gemma 3 failing on datetime or Pydantic tool results
- fix(models): map reasoning and cached tokens in streamed Apigee usage
- Docs
- Python not yet supported