Google ADK Python 2.10.0: experimental skill lifecycle, MongoDB vector/hybrid search, eval duration/token metrics
Google shipped ADK Python v2.10.0 on 2026-09-25 (google-adk 2.10.0): experimental skill lifecycle (ADK_ENABLE_SKILL_LIFECYCLE=1) with ephemeral lifecycles and active skill limits; MongoDB toolset for vector/hybrid search; evaluation metrics for duration, tokens, and model-call counts; better OpenAI reasoning model parameter adaptation and reasoning-token reporting. BigQuery protected write mode and instruction templating tighten with breaking changes.
Key Takeaways
- Shipped v2.10.0 — pip install google-adk==2.10.0; docs at adk.dev
- Experimental skill lifecycle via ADK_ENABLE_SKILL_LIFECYCLE=1
- MongoDB toolset for in-flow vector/hybrid search
- Eval metrics: duration, tokens, model-call counts
- Breaking: tighter BigQuery protected writes; OpenAIResponsesLlm uses effort not thinking_config; empty eval sets raise ValueError
Linked Models & Agents: