Files

Creating an AIAgent with Google Gemini

This sample demonstrates how to create an AIAgent using Google Gemini models as the underlying inference service.

The sample showcases two different IChatClient implementations:

  1. Google GenAI - Using the official Google.GenAI package
  2. Mscc.GenerativeAI.Microsoft - Using the community-driven Mscc.GenerativeAI.Microsoft package

Prerequisites

Before you begin, ensure you have the following prerequisites:

Set the following environment variables:

$env:GOOGLE_GENAI_API_KEY="your-google-api-key"  # Replace with your Google AI Studio API key
$env:GOOGLE_GENAI_MODEL="gemini-2.5-fast"  # Optional, defaults to gemini-2.5-fast

Package Options

Google GenAI (Official)

The official Google GenAI package provides direct access to Google's Generative AI models. This sample uses an extension method to convert the Google client to an IChatClient.

Note

Until PR googleapis/dotnet-genai#81 is merged, this option requires the additional GeminiChatClient.cs and GoogleGenAIExtensions.cs files included in this sample.

We appreciate any community push by liking and commenting in the above PR to get it merged and release as part of official Google GenAI package.

Mscc.GenerativeAI.Microsoft (Community)

The community-driven Mscc.GenerativeAI.Microsoft package provides a ready-to-use IChatClient implementation for Google Gemini models through the GeminiChatClient class.