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Chris 904a5b843e Python / .NET Samples - Restructure and Improve Samples (Feature Branc… (#4092)
* Python: .NET Samples - Restructure and Improve Samples (Feature Branch) (#4091)

* Moved by agent (#4094)

* Fix readme links

* .NET Samples - Create `04-hosting` learning path step (#4098)

* Agent move

* Agent reorderd

* Remove A2A section from README 

Removed A2A section from the Getting Started README.

* Agent fixed links

* Fix broken sample links in durable-agents README (#4101)

* Initial plan

* Fix broken internal links in documentation

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* .NET Samples - Create `03-workflows` learning path step (#4102)

* Fix solution project path

* Python: Fix broken markdown links to repo resources (outside /docs) (#4105)

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* Fix broken markdown links to repo resources

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* Update README to rename .NET Workflows Samples section

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* .NET Samples - Create `02-agents` learning path step (#4107)

* .NET: Fix broken relative link in GroupChatToolApproval README (#4108)

* Initial plan

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* Update labeler configuration for workflow samples

* .NET - Reorder Agents samples to start from Step01 instead of Step04 (#4110)

* Fix solution

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* Updated README

* .NET Samples - Configuration Naming Update (#4149)

* .NET: Restore AzureFunctions index parity with ConsoleApps under DurableAgents samples (#4221)

* Clean-up `05_host_your_agent`

* Config setting consistency

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* AGENTS.md

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* Fixup model config

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904a5b843e · 2026-02-26 00:56:10 +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-instruct model, so if you want to use a different model, ensure that you set your AZURE_AI_MODEL_DEPLOYMENT_NAME environment 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_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_OPENAI_API_KEY="************"

# Optional, defaults to Phi-4-mini-instruct
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="Phi-4-mini-instruct"