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(evaluation): isolate stored eval sets from caller mutations
- ModelArmorPlugin fails with "Event loop is closed" after one sync Runner.run() call: its client is not cached per event loop
- fix(models): keep streamed ApigeeLlm tool call fragments without an index together
- ApigeeLlm raises ValueError instead of reporting MAX_TOKENS when streamed tool arguments are cut off
- After a tool confirmation resumes a `Workflow`, an `LlmAgent` node's model receives the workflow's user message instead of the node's input
- fix(evaluation): don't score a judge response that leaves a rubric without a verdict
- LiteLlm with SSE streaming records the answer twice in gen_ai.output.messages
- feat(skills): include bundled resource paths in load_skill response
- feat(skills): lazily load L2 instructions and L3 resources from disk
- build(deps): remove unused legacy GCP OpenTelemetry exporter dependencies
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- Python not yet supported