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
Metadata
Release files for agent-framework-gemini 1.0.0a260421
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| agent_framework_gemini-1.0.0a260421.tar.gz | 14.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agent_framework_gemini-1.0.0a260421-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.2 kB
Release files / agent_framework_gemini-1.0.0a260421.tar.gz
| Download URL | agent_framework_gemini-1.0.0a260421.tar.gz |
|---|---|
| Size | 14.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
906f9fe12c1cbefa6ee967211b79530916608bed28e3fcb463b673f870cb861f
|
|
BLAKE2b-256 checksum How to use checksums |
b29c6fec762dd1d8d475c1108fb78266340baf6ecdb3364f35d246c014eb57ba
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.3 {"installer":{"name":"uv","version":"0.11.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Release files / agent_framework_gemini-1.0.0a260421-py3-none-any.whl
| Download URL | agent_framework_gemini-1.0.0a260421-py3-none-any.whl |
|---|---|
| Size | 14.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
625204b842a82dd594c08b6170424376359381638dce7010d9a27d42b36c5762
|
|
BLAKE2b-256 checksum How to use checksums |
ad5c5b4acd613978d822e4784969647cda0d2ec1951ecfbbc33608f5b963d5bb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.3 {"installer":{"name":"uv","version":"0.11.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
Security for agent-framework-gemini 1.0.0a260421
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.