Agent Development Kit (ADK) 2.10.0 released
Skills: Control resource usage and tool persistence dynamically using new ephemeral lifecycles and active skill limits (experimental; enable with ADKENABLESKILLLIFECYCLE=1). (43b73e4); Database Integrations: Perform high-performance vector and hybrid…
What changed
- Skills: Control resource usage and tool persistence dynamically using new ephemeral lifecycles and active skill limits (experimental; enable with ADKENABLESKILLLIFECYCLE=1). (43b73e4)
- Database Integrations: Perform high-performance vector and hybrid searches seamlessly within your agent flows with the new MongoDB toolset. (0961ced)
- Evaluation: Optimize agent execution costs and latency with new evaluation metrics for tracking duration, token consumption, and model call counts. (2d428ea)
- Model Support: Integrate OpenAI reasoning models more effectively with automated request parameter adaptation and precise reasoning token reporting. (52a2f0f)
- BigQuery protected write mode now runs a non-SELECT statement only when the dry run places it in the session's anonymous dataset, so multi-statement scripts, CALL, EXPORT DATA and other statements…
- BigQuery protected mode keeps its BigQuery session in process memory instead of session state, so its temporary tables do not survive a restart or carry over to another replica. (094012b)
- OpenAIResponsesLlm ignores thinkingconfig (thinkinglevel / thinkingbudget) with a warning; use OpenAIGenerateContentConfig.effort instead. (b3d1392)
- AgentEvaluator.evaluate and evaluateevalset raise ValueError when no eval cases are evaluated, instead of passing. (9dbc2ae)
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