test

dotnet/samples/GettingStarted/Workflows/Agents/FoundryAgent/FoundryAgent.csproj

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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.Agents.Persistent" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.AzureAI.Persistent\Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/GettingStarted/Workflows/Agents/FoundryAgent/Program.cs

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+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure.AI.Agents.Persistent;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Extensions.AI;
+
+namespace WorkflowFoundryAgentSample;
+
+/// <summary>
+/// This sample shows how to use Azure Foundry Agents within a workflow.
+/// </summary>
+/// <remarks>
+/// Pre-requisites:
+/// - Foundational samples should be completed first.
+/// - An Azure Foundry project endpoint and model id.
+/// </remarks>
+public static class Program
+{
+    private static async Task Main()
+    {
+        // Set up the Azure OpenAI client
+        var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT")
+            ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var persistentAgentsClient = new PersistentAgentsClient(endpoint, new AzureCliCredential());
+
+        // Create agents
+        AIAgent frenchAgent = await GetTranslationAgentAsync("French", persistentAgentsClient, deploymentName);
+        AIAgent spanishAgent = await GetTranslationAgentAsync("Spanish", persistentAgentsClient, deploymentName);
+        AIAgent englishAgent = await GetTranslationAgentAsync("English", persistentAgentsClient, deploymentName);
+
+        // Build the workflow by adding executors and connecting them
+        var workflow = new WorkflowBuilder(frenchAgent)
+            .AddEdge(frenchAgent, spanishAgent)
+            .AddEdge(spanishAgent, englishAgent)
+            .Build();
+
+        // Execute the workflow
+        await using StreamingRun run = await InProcessExecution.StreamAsync(workflow, new ChatMessage(ChatRole.User, "Hello World!"));
+        // Must send the turn token to trigger the agents.
+        // The agents are wrapped as executors. When they receive messages,
+        // they will cache the messages and only start processing when they receive a TurnToken.
+        await run.TrySendMessageAsync(new TurnToken(emitEvents: true));
+        await foreach (WorkflowEvent evt in run.WatchStreamAsync())
+        {
+            if (evt is AgentResponseUpdateEvent executorComplete)
+            {
+                Console.WriteLine($"{executorComplete.ExecutorId}: {executorComplete.Data}");
+            }
+        }
+
+        // Cleanup the agents created for the sample.
+        await persistentAgentsClient.Administration.DeleteAgentAsync(frenchAgent.Id);
+        await persistentAgentsClient.Administration.DeleteAgentAsync(spanishAgent.Id);
+        await persistentAgentsClient.Administration.DeleteAgentAsync(englishAgent.Id);
+    }
+
+    /// <summary>
+    /// Creates a translation agent for the specified target language.
+    /// </summary>
+    /// <param name="targetLanguage">The target language for translation</param>
+    /// <param name="persistentAgentsClient">The PersistentAgentsClient to create the agent</param>
+    /// <param name="model">The model to use for the agent</param>
+    /// <returns>A ChatClientAgent configured for the specified language</returns>
+    private static async Task<ChatClientAgent> GetTranslationAgentAsync(
+        string targetLanguage,
+        PersistentAgentsClient persistentAgentsClient,
+        string model)
+    {
+        var agentMetadata = await persistentAgentsClient.Administration.CreateAgentAsync(
+            model: model,
+            name: $"{targetLanguage} Translator",
+            instructions: $"You are a translation assistant that translates the provided text to {targetLanguage}.");
+
+        return await persistentAgentsClient.GetAIAgentAsync(agentMetadata.Value.Id);
+    }
+}