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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.Projects" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
</ItemGroup>
</Project>

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// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to create and use a simple AI agent with a conversation that can be persisted to disk.
using System.Text.Json;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
const string JokerInstructions = "You are good at telling jokes.";
const string JokerName = "JokerAgent";
// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential());
AIAgent agent = await aiProjectClient.CreateAIAgentAsync(name: JokerName, model: deploymentName, instructions: JokerInstructions);
// Start a new thread for the agent conversation.
AgentThread thread = await agent.GetNewThreadAsync();
// Run the agent with a new thread.
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
// Serialize the thread state to a JsonElement, so it can be stored for later use.
JsonElement serializedThread = thread.Serialize();
// Save the serialized thread to a temporary file (for demonstration purposes).
string tempFilePath = Path.GetTempFileName();
await File.WriteAllTextAsync(tempFilePath, JsonSerializer.Serialize(serializedThread));
// Load the serialized thread from the temporary file (for demonstration purposes).
JsonElement reloadedSerializedThread = JsonElement.Parse(await File.ReadAllTextAsync(tempFilePath))!;
// Deserialize the thread state after loading from storage.
AgentThread resumedThread = await agent.DeserializeThreadAsync(reloadedSerializedThread);
// Run the agent again with the resumed thread.
Console.WriteLine(await agent.RunAsync("Now tell the same joke in the voice of a pirate, and add some emojis to the joke.", resumedThread));
// Cleanup by agent name removes the agent version created.
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);

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# Persisted Conversations with AI Agents
This sample demonstrates how to serialize and persist agent conversation threads to storage, allowing conversations to be resumed later.
## What this sample demonstrates
- Serializing agent threads to JSON
- Persisting thread state to disk
- Loading and deserializing thread state from storage
- Resuming conversations with persisted threads
- Managing agent lifecycle (creation and deletion)
## Prerequisites
Before you begin, ensure you have the following prerequisites:
- .NET 10 SDK or later
- Azure Foundry service endpoint and deployment configured
- Azure CLI installed and authenticated (for Azure credential authentication)
**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).
Set the following environment variables:
```powershell
$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
$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini" # Optional, defaults to gpt-4o-mini
```
## Run the sample
Navigate to the FoundryAgents sample directory and run:
```powershell
cd dotnet/samples/GettingStarted/FoundryAgents
dotnet run --project .\FoundryAgents_Step06_PersistedConversations
```
## Expected behavior
The sample will:
1. Create an agent named "JokerAgent" with instructions to tell jokes
2. Create a thread and run the agent with an initial prompt
3. Serialize the thread state to JSON
4. Save the serialized thread to a temporary file
5. Load the thread from the file and deserialize it
6. Resume the conversation with the same thread using a follow-up prompt
7. Clean up resources by deleting the agent