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# Persisted Conversations with AI Agents
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This sample demonstrates how to serialize and persist agent conversation threads to storage, allowing conversations to be resumed later.
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## What this sample demonstrates
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- Serializing agent threads to JSON
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- Persisting thread state to disk
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- Loading and deserializing thread state from storage
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- Resuming conversations with persisted threads
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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_Step06_PersistedConversations
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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 thread and run the agent with an initial prompt
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3. Serialize the thread state to JSON
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4. Save the serialized thread to a temporary file
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5. Load the thread from the file and deserialize it
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6. Resume the conversation with the same thread using a follow-up prompt
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7. Clean up resources by deleting the agent
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