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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.Projects" />
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<PackageReference Include="Azure.Identity" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
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</ItemGroup>
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</Project>
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// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to create and use a simple AI agent with a conversation that can be persisted to disk.
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using System.Text.Json;
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using Azure.AI.Projects;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
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const string JokerInstructions = "You are good at telling jokes.";
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const string JokerName = "JokerAgent";
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// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
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AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential());
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AIAgent agent = await aiProjectClient.CreateAIAgentAsync(name: JokerName, model: deploymentName, instructions: JokerInstructions);
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// Start a new thread for the agent conversation.
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AgentThread thread = await agent.GetNewThreadAsync();
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// Run the agent with a new thread.
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Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", thread));
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// Serialize the thread state to a JsonElement, so it can be stored for later use.
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JsonElement serializedThread = thread.Serialize();
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// Save the serialized thread to a temporary file (for demonstration purposes).
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string tempFilePath = Path.GetTempFileName();
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await File.WriteAllTextAsync(tempFilePath, JsonSerializer.Serialize(serializedThread));
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// Load the serialized thread from the temporary file (for demonstration purposes).
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JsonElement reloadedSerializedThread = JsonElement.Parse(await File.ReadAllTextAsync(tempFilePath))!;
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// Deserialize the thread state after loading from storage.
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AgentThread resumedThread = await agent.DeserializeThreadAsync(reloadedSerializedThread);
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// Run the agent again with the resumed thread.
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Console.WriteLine(await agent.RunAsync("Now tell the same joke in the voice of a pirate, and add some emojis to the joke.", resumedThread));
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// Cleanup by agent name removes the agent version created.
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await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
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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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