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
- test(cli): add coverage for adk conformance test command options
- A2A: 2.7.0 flattens the answer to a RELAYED human-input pause, so a remote agent can never resume (silent approval-gate bypass)
- fix(models): keep proxied file uploads inside the proxy
- LocalEvalService discards per-invocation results for any metric reporting EvalStatus.NOT_EVALUATED -- is there an intended shape for non-pass/fail (measurement) metrics?
- feat(evaluation): add tool parameter matching
- fix(cli): reload changed agent correctly
- Proxied file uploads bypass the LiteLLM Proxy and are sent to api.openai.com
- Aborted mid-stream LiteLLM tool-call finalizes partial arguments into an unhandled JSONDecodeError — truncation guard only covers finish_reason=='length'
- fix(a2a): Use card descriptions for initial routing
- fix(cli): Stop unbounded debug trace span retention in ApiServer
- Docs
- Python not yet supported