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# Creating an AIAgent with Google Gemini
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This sample demonstrates how to create an AIAgent using Google Gemini models as the underlying inference service.
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The sample showcases two different `IChatClient` implementations:
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1. **Google GenAI** - Using the official [Google.GenAI](https://www.nuget.org/packages/Google.GenAI) package
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2. **Mscc.GenerativeAI.Microsoft** - Using the community-driven [Mscc.GenerativeAI.Microsoft](https://www.nuget.org/packages/Mscc.GenerativeAI.Microsoft) package
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## Prerequisites
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Before you begin, ensure you have the following prerequisites:
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- .NET 10.0 SDK or later
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- Google AI Studio API key (get one at [Google AI Studio](https://aistudio.google.com/apikey))
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Set the following environment variables:
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```powershell
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$env:GOOGLE_GENAI_API_KEY="your-google-api-key" # Replace with your Google AI Studio API key
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$env:GOOGLE_GENAI_MODEL="gemini-2.5-fast" # Optional, defaults to gemini-2.5-fast
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```
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## Package Options
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### Google GenAI (Official)
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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`.
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### Mscc.GenerativeAI.Microsoft (Community)
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The community-driven Mscc.GenerativeAI.Microsoft package provides a ready-to-use `IChatClient` implementation for Google Gemini models through the `GeminiChatClient` class.
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