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Alexander Zarei
2f0b2db12a
- Replace OPENAI_APIKEY with OPENAI_API_KEY across all samples - Replace AZURE_FOUNDRY_OPENAI_APIKEY with AZURE_FOUNDRY_OPENAI_API_KEY - Ensures consistency with OpenAI's standard naming convention - Applies to .NET and Python samples Fixes #1001 Co-authored-by: Alexander Zarei <alzarei@users.noreply.github.com>
2f0b2db12a
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2025-12-10 10:33:35 +00:00
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Overview
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.
You could use models from Microsoft, OpenAI, DeepSeek, Hugging Face, Meta, xAI or any other model you have deployed in Azure AI Foundry.
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.
Prerequisites
Before you begin, ensure you have the following prerequisites:
- .NET 10 SDK or later
- Azure AI Foundry resource
- A model deployment in your Azure AI Foundry resource. This example defaults to using the
Phi-4-mini-instructmodel, so if you want to use a different model, ensure that you set yourAZURE_FOUNDRY_MODEL_DEPLOYMENTenvironment variable to the name of your deployed model. - An API key or role based authentication to access the Azure AI Foundry resource
See here for more info on setting up these prerequisites
Set the following environment variables:
# Replace with your Azure AI Foundry resource endpoint
# 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.
$env:AZURE_FOUNDRY_OPENAI_ENDPOINT="https://ai-foundry-<myresourcename>.services.ai.azure.com/openai/v1/"
# Optional, defaults to using Azure CLI for authentication if not provided
$env:AZURE_FOUNDRY_OPENAI_API_KEY="************"
# Optional, defaults to Phi-4-mini-instruct
$env:AZURE_FOUNDRY_MODEL_DEPLOYMENT="Phi-4-mini-instruct"