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# Creating and Managing AI Agents with Versioning
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This sample demonstrates how to create and manage AI agents with Azure Foundry Agents, including:
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- Creating agents with different versions
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- Retrieving agents by version or latest version
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- Running multi-turn conversations with agents
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- Managing agent lifecycle (creation and deletion)
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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 Foundry service endpoint and deployment configured
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- Azure CLI installed and authenticated (for Azure credential authentication)
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**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
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Set the following environment variables:
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```powershell
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$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
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$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
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```
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## Run the sample
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Navigate to the FoundryAgents sample directory and run:
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```powershell
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cd dotnet/samples/GettingStarted/FoundryAgents
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dotnet run --project .\FoundryAgents_Step01.1_Basics
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```
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## What this sample demonstrates
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1. **Creating agents with versions**: Shows how to create multiple versions of the same agent with different instructions
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2. **Retrieving agents**: Demonstrates retrieving agents by specific version or getting the latest version
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3. **Multi-turn conversations**: Shows how to use threads to maintain conversation context across multiple agent runs
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4. **Agent cleanup**: Demonstrates proper resource cleanup by deleting agents
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