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## Overview
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This sample shows how to use the OpenAI SDK to create and use a simple AI agent with any model hosted in Azure AI Foundry.
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You could use models from Microsoft, OpenAI, DeepSeek, Hugging Face, Meta, xAI or any other model you have deployed in Azure AI Foundry.
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**Note**: Ensure that you pick a model that suits your needs. For example, if you want to use function calling, ensure that the model you pick supports function calling.
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## Prerequisites
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Before you begin, ensure you have the following prerequisites:
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- .NET 10 SDK or later
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- Azure AI Foundry resource
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- A model deployment in your Azure AI Foundry resource. This example defaults to using the `Phi-4-mini-instruct` model,
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so if you want to use a different model, ensure that you set your `AZURE_FOUNDRY_MODEL_DEPLOYMENT` environment
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variable to the name of your deployed model.
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- An API key or role based authentication to access the Azure AI Foundry resource
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See [here](https://learn.microsoft.com/en-us/azure/ai-foundry/quickstarts/get-started-code?tabs=csharp) for more info on setting up these prerequisites
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Set the following environment variables:
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```powershell
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# Replace with your Azure AI Foundry resource endpoint
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# Ensure that you have the "/openai/v1/" path in the URL, since this is required when using the OpenAI SDK to access Azure Foundry models.
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$env:AZURE_FOUNDRY_OPENAI_ENDPOINT="https://ai-foundry-<myresourcename>.services.ai.azure.com/openai/v1/"
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# Optional, defaults to using Azure CLI for authentication if not provided
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$env:AZURE_FOUNDRY_OPENAI_API_KEY="************"
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# Optional, defaults to Phi-4-mini-instruct
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$env:AZURE_FOUNDRY_MODEL_DEPLOYMENT="Phi-4-mini-instruct"
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```
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