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
- 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
- Workflow: a node that returns None runs again when the workflow resumes after RequestInput
- ToolConfirmation.from_response_dict crashes with TypeError on parsed dicts
- Confirming the tool calls of two parallel `LlmAgent` nodes in one message runs only one tool; the other agent's model gets "This tool call requires confirmation"
- Duplicate rubric verdicts let one judge sample outvote two independent samples
- SqliteMemoryService returns thought parts on visible-text matches; LoadMemoryTool forwards them to the model
- Gemma 3 models fail with TypeError when a tool returns a datetime or a Pydantic model (e.g. `load_memory`)
- Docs
- Python not yet supported