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# Multi-turn Conversation with AI Agents
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This sample demonstrates how to implement multi-turn conversations with AI agents, where context is preserved across multiple agent runs using threads and conversation IDs.
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## What this sample demonstrates
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- Creating an AI agent with instructions
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- Creating a project conversation to track conversations in the Foundry UI
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- Using threads with conversation IDs to maintain conversation context
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- Running multi-turn conversations with text output
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- Running multi-turn conversations with streaming output
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- Managing agent and conversation 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_Step02_MultiturnConversation
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```
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## Expected behavior
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The sample will:
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1. Create an agent named "JokerAgent" with instructions to tell jokes
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2. Create a project conversation to enable visibility in the Azure Foundry UI
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3. Create a thread linked to the conversation ID for context tracking
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4. Run the agent with a text prompt and display the response
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5. Send a follow-up message to the same thread, demonstrating context preservation
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6. Create a new thread sharing the same conversation ID and run the agent with streaming
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7. Send a follow-up streaming message to demonstrate multi-turn streaming
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8. Clean up resources by deleting the agent and conversation
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## Conversation ID vs PreviousResponseId
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When working with multi-turn conversations, there are two approaches:
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- **With Conversation ID**: By passing a `conversation.Id` to `GetNewThreadAsync()`, the conversation will be visible in the Azure Foundry Project UI. This is useful for tracking and debugging conversations.
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- **Without Conversation ID**: Threads created without a conversation ID still work correctly, maintaining context via `PreviousResponseId`. However, these conversations may not appear in the Foundry UI.
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