Building AI Agents with Google Gemini 3 and Open Source Frameworks- Google Developers Blog
Nov 19, 2025Philipp Schmid, Vishal Dharmadhikari

Summary
This post introduces Gemini 3 Pro Preview, highlighting new agentic features such as `thinking_level` for adjustable reasoning depth, stateful tool use via "Thought Signatures" for context retention, and `media_resolution` for adjustable multimodal fidelity. It details how these features integrate with open-source frameworks (LangChain, AI SDK by Vercel, LlamaIndex, Pydantic AI, n8n) to build sophisticated AI agents. Key best practices include simplifying prompts, keeping temperature at 1.0, handling thought signatures, and optimizing visual tokens.
More from the Agentic Application Middleware trail
- The Outer Loop, Insights First: An Ambient Quality Agent That Diagnoses Your Production Agent- Google Developers Blog
- Supercharge your development with the Google Developer Knowledge API ecosystem- Google Developers Blog
- Turn your REST APIs into MCP tools with Google Cloud API Gateway- Google Developers Blog
- Introducing Support for Local AI Models in the Antigravity SDK- Google Developers Blog
- Why client SDK generation belongs in the open- Google Developers Blog