cooleryu
d5335fbeae
* fix(gemini): preserve schema response_format * fix(gemini): satisfy pyright strict in response schema extraction Cast Any-narrowed mappings to Mapping[str, Any] in the structured-output schema helpers so pyright strict no longer reports partially-unknown member, argument, and variable types. Pass response_format["format"] straight into the recursive extractor, which already guards non-mapping inputs. No behavior change. * fix(gemini): use Sequence[object] cast to satisfy both mypy and pyright The Sequence[Any] cast pyright strict needs to know the loop element type is reported as a redundant-cast by mypy, which already narrows the isinstance branch to Sequence[Any]. Cast to Sequence[object] instead: pyright gets a fully known element type and mypy no longer sees an identical-type cast. No behavior change. --------- Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
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.
Structured Output
Gemini structured output can be configured with either a Pydantic model in response_format, a JSON schema mapping in response_format, or a Gemini-specific response_schema. Declarative agents that define outputSchema pass that schema through response_format.
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