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This commit is contained in:
wehub-resource-sync
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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>
<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
</ItemGroup>
</Project>
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// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to use server-side conversations with a FoundryAgent.
// Server-side conversations persist on the Foundry service and are visible in the Foundry Project UI.
// Use this when you need conversation history to be stored and accessible server-side.
using Azure.AI.Extensions.OpenAI;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
string endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
ChatClientAgent agent = aiProjectClient
.AsAIAgent(deploymentName, instructions: "You are good at telling jokes.", name: "JokerAgent");
ProjectConversationsClient conversationsClient = aiProjectClient
.GetProjectOpenAIClient()
.GetProjectConversationsClient();
ProjectConversation conversation = (await conversationsClient.CreateProjectConversationAsync().ConfigureAwait(false)).Value;
// CreateConversationSessionAsync creates a server-side ProjectConversation
// that persists on the Foundry service and is visible in the Foundry Project UI.
AgentSession session = await agent.CreateSessionAsync(conversation.Id);
Console.WriteLine(await agent.RunAsync("Tell me a joke about a pirate.", session));
Console.WriteLine(await agent.RunAsync("Now add some emojis to the joke and tell it in the voice of a pirate's parrot.", session));
// Streaming with server-side conversation context.
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("Tell me another joke, but about a ninja this time.", session))
{
Console.Write(update);
}
Console.WriteLine();
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# Multi-turn Conversation with Server-Side Conversations
This sample demonstrates how to use server-side conversations with a `FoundryAgent`. Server-side conversations persist on the Foundry service and are visible in the Foundry Project UI, making them ideal when you need conversation history to be stored and accessible server-side.
## What this sample demonstrates
- Creating a `FoundryAgent` with instructions
- Using `CreateConversationSessionAsync` to create a server-side `ProjectConversation`
- Multi-turn conversations with both text and streaming output
- Server-side conversation persistence visible in the Foundry Project UI
## Prerequisites
Before you begin, ensure you have the following prerequisites:
- .NET 10 SDK or later
- Microsoft Foundry service endpoint and deployment configured
- An authenticated Azure identity (for example, sign in with `az login`)
**Note**: This sample uses `DefaultAzureCredential`. `az login` is the easiest local development path, but Visual Studio, VS Code, and managed identity credentials also work when available.
Set the following environment variables:
```powershell
$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
$env:FOUNDRY_MODEL="gpt-5.4-mini"
```
## Run the sample
Navigate to the Foundry sample directory and run:
```powershell
cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step02.2_MultiturnWithServerConversations
```