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This release is a pre-release and may not be stable for production use.

Get Started with Microsoft Agent Framework Gemini

Install the provider package:

pip install agent-framework-gemini --pre

Gemini Integration

The Gemini integration enables Microsoft Agent Framework applications to call Google Gemini models with familiar chat abstractions, including streaming, tool/function calling, and structured output.

Authentication

The connector supports both google-genai authentication modes.

Gemini Developer API

Obtain an API key from Google AI Studio and set either the package-prefixed or SDK-standard environment variable:

export GEMINI_API_KEY="your-api-key"
# or: export GOOGLE_API_KEY="your-api-key"
export GEMINI_MODEL="gemini-2.5-flash-lite"
# or: export GOOGLE_MODEL="gemini-2.5-flash-lite"

Vertex AI

Set the standard Vertex AI environment variables used by google-genai:

export GOOGLE_GENAI_USE_VERTEXAI=true
export GOOGLE_CLOUD_PROJECT="your-project-id"
export GOOGLE_CLOUD_LOCATION="global"
export GOOGLE_MODEL="gemini-2.5-flash-lite"

Examples

See the Google Gemini samples for runnable end-to-end scripts covering:

  • Basic agent with tool calling and streaming
  • Extended thinking with ThinkingConfig
  • Google Search grounding
  • Google Maps grounding
  • Built-in code execution

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