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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:
- Google GenAI - Using the official Google.GenAI package
- Mscc.GenerativeAI.Microsoft - Using the community-driven Mscc.GenerativeAI.Microsoft package
Prerequisites
Before you begin, ensure you have the following prerequisites:
- .NET 10.0 SDK or later
- Google AI Studio API key (get one at Google AI Studio)
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 the AsIChatClient() extension method to convert the Google client to an IChatClient.
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.