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
- 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
- Retrieval tools declare `query` as optional, and a call without it fails the run
- fix(tools): accept pre-parsed dict in ToolConfirmation response
- A `Workflow` `LlmAgent` node with two pending tool confirmations does not keep waiting when only one is answered; the next node runs too early
- Resume fails with "Replay divergence detected" on SqliteSessionService when a parallel branch finishes during a request_input model call
- Docs
- Python not yet supported