Fix Foreach body exit wiring in declarative workflows

* Add MCP long-running task support for MCP client tools

* Fixed project file formatting issue.

* Removed experimentation tag from MCP alpha project.

* Addressed PR comments

.github/workflows/issue-triage.yml

@@ -137,6 +137,7 @@ jobs:
         working-directory: ${{ env.DEVFLOW_PATH }}
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          DEVFLOW_TOKEN: ${{ secrets.DEVFLOW_TOKEN }}
           SK_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
           AGENT_REPO_PATH: ${{ env.TARGET_REPO_PATH }}
           ISSUE_REPO: ${{ needs.team_check.outputs.repo }}

dotnet/agent-framework-dotnet.slnx

@@ -212,6 +212,7 @@
   </Folder>
   <Folder Name="/Samples/02-agents/ModelContextProtocol/">
     <File Path="samples/02-agents/ModelContextProtocol/README.md" />
+    <Project Path="samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client/Agent_MCP_LongRunningTask_Client.csproj" />
     <Project Path="samples/02-agents/ModelContextProtocol/Agent_MCP_Server/Agent_MCP_Server.csproj" />
     <Project Path="samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/Agent_MCP_Server_Auth.csproj" />
     <Project Path="samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/FoundryAgent_Hosted_MCP.csproj" />
@@ -281,6 +282,7 @@
   </Folder>
   <Folder Name="/Samples/03-workflows/Orchestration/">
     <Project Path="samples/03-workflows/Orchestration/Handoff/Handoff.csproj" />
+    <Project Path="samples/03-workflows/Orchestration/Magentic/Magentic.csproj" />
   </Folder>
   <Folder Name="/Samples/03-workflows/Observability/">
     <Project Path="samples/03-workflows/Observability/ApplicationInsights/ApplicationInsights.csproj" />
@@ -601,6 +603,7 @@
     <Project Path="src/Microsoft.Agents.AI.Hosting.OpenAI/Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hosting/Microsoft.Agents.AI.Hosting.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Hyperlight/Microsoft.Agents.AI.Hyperlight.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Mcp/Microsoft.Agents.AI.Mcp.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Mem0/Microsoft.Agents.AI.Mem0.csproj" />
     <Project Path="src/Microsoft.Agents.AI.OpenAI/Microsoft.Agents.AI.OpenAI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Purview/Microsoft.Agents.AI.Purview.csproj" />
@@ -654,6 +657,7 @@
     <Project Path="tests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests/Microsoft.Agents.AI.Hosting.OpenAI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Hosting.UnitTests/Microsoft.Agents.AI.Hosting.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Hyperlight.UnitTests/Microsoft.Agents.AI.Hyperlight.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Mcp.UnitTests/Microsoft.Agents.AI.Mcp.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Mem0.UnitTests/Microsoft.Agents.AI.Mem0.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.OpenAI.UnitTests/Microsoft.Agents.AI.OpenAI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Purview.UnitTests/Microsoft.Agents.AI.Purview.UnitTests.csproj" />

dotnet/eng/verify-samples/AgentsSamples.cs

@@ -1151,6 +1151,25 @@ internal static class AgentsSamples
             SkipReason = "Runs as an MCP stdio server that does not exit on its own.",
         },
 
+        new SampleDefinition
+        {
+            Name = "Agent_MCP_LongRunningTask_Client",
+            ProjectPath = "samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client",
+            RequiredEnvironmentVariables = ["AZURE_OPENAI_ENDPOINT"],
+            OptionalEnvironmentVariables = ["AZURE_OPENAI_DEPLOYMENT_NAME"],
+            MustContain =
+            [
+                "=== Transparent long-running MCP task (RunAsync) ===",
+                "=== Transparent long-running MCP task (RunStreamingAsync) ===",
+            ],
+            ExpectedOutputDescription =
+            [
+                "The output should show an agent analyzing a dataset named 'sales-2025-q1' and producing a summary mentioning rows, revenue, anomalies, or outliers.",
+                "The output should contain both a non-streaming response (after RunAsync) and a streaming response (after RunStreamingAsync) for the same analysis question.",
+                "The output should not contain error messages or stack traces.",
+            ],
+        },
+
         new SampleDefinition
         {
             Name = "AGUI_Step01_GettingStarted_Client",

dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client/Agent_MCP_LongRunningTask_Client.csproj

@@ -0,0 +1,25 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <NoWarn>$(NoWarn);MAAI001;MEAI001;MCPEXP001</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+    <PackageReference Include="ModelContextProtocol" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Mcp\Microsoft.Agents.AI.Mcp.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client/Program.cs

@@ -0,0 +1,145 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates the Microsoft Agent Framework's MCP long-running task support.
+//
+// A small MCP server (hosted in this same executable when launched with "--server") exposes
+// a single task-supporting tool "AnalyzeDataset" that simulates ~15 seconds of work. The
+// client (default mode) connects to it over stdio via Microsoft.Agents.AI.Mcp's
+// McpClientTaskExtensions.ListAgentToolsWithTaskSupportAsync, hands the wrapped tools to a
+// ChatClientAgent, and exercises both invocation styles:
+//   * RunAsync          — blocks until the agent's final response is ready.
+//   * RunStreamingAsync — yields response updates as the model produces them; the model
+//                         still waits for the tool's terminal result before it can begin
+//                         producing the final answer, so the perceived "pause" reflects
+//                         tool execution time, not stream-channel latency.
+//
+// In both cases the wrapper transparently:
+//   1. Calls tools/call with task augmentation (CallToolAsTaskAsync)
+//   2. Polls tasks/get until terminal (PollTaskUntilCompleteAsync)
+//   3. Fetches tasks/result and returns the final result to the function-calling loop
+//
+// No application-level loop or continuation tokens are required in either mode.
+
+using System.ComponentModel;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Mcp;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using ModelContextProtocol;
+using ModelContextProtocol.Client;
+using ModelContextProtocol.Protocol;
+using ModelContextProtocol.Server;
+using OpenAI.Chat;
+
+if (args.Length > 0 && args[0] == "--server")
+{
+    await RunMcpServerAsync();
+    return;
+}
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+
+// Launch this same assembly as a stdio MCP server in a child process.
+var thisAssemblyPath = typeof(Program).Assembly.Location;
+await using var mcpClient = await McpClient.CreateAsync(new StdioClientTransport(new()
+{
+    Name = "DatasetAnalyzer",
+    Command = "dotnet",
+    Arguments = [thisAssemblyPath, "--server"],
+}));
+
+// Wrap each MCP tool with task-aware behavior. The wrapper inspects the server's
+// execution.taskSupport on each tool and, when it is Required, drives the task lifecycle
+// transparently within the agent's tool loop. Tools that don't require task semantics are
+// returned as-is and invoked inline.
+var taskOptions = new McpTaskOptions
+{
+    DefaultTimeToLive = TimeSpan.FromMinutes(5),
+};
+var mcpTools = await mcpClient.ListAgentToolsWithTaskSupportAsync(taskOptions);
+
+// 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.
+AIAgent agent = new AzureOpenAIClient(
+    new Uri(endpoint),
+    new DefaultAzureCredential())
+     .GetChatClient(deploymentName)
+     .AsAIAgent(
+        instructions: "You answer data-analysis questions by invoking the available tools. Always invoke a tool when one matches the request.",
+        tools: [.. mcpTools.Cast<AITool>()]);
+
+const string Prompt = "Analyze the dataset named 'sales-2025-q1' and summarize the findings.";
+
+Console.WriteLine("=== Transparent long-running MCP task (RunAsync) ===");
+Console.WriteLine("Asking the agent to analyze a dataset; the tool takes ~15s to complete.");
+Console.WriteLine("RunAsync blocks while the wrapper polls the task to completion.");
+Console.WriteLine();
+
+var stopwatch = System.Diagnostics.Stopwatch.StartNew();
+var response = await agent.RunAsync(Prompt);
+stopwatch.Stop();
+
+Console.WriteLine($"Agent response (after {stopwatch.Elapsed.TotalSeconds:F1}s):");
+Console.WriteLine(response.Text);
+
+Console.WriteLine();
+Console.WriteLine("=== Transparent long-running MCP task (RunStreamingAsync) ===");
+Console.WriteLine("Same request via the streaming API. Updates only begin to arrive after the");
+Console.WriteLine("tool's task reaches the Completed state, since the model needs the tool result");
+Console.WriteLine("before it can produce its final answer.");
+Console.WriteLine();
+
+stopwatch.Restart();
+await foreach (var update in agent.RunStreamingAsync(Prompt))
+{
+    Console.Write(update.Text);
+}
+stopwatch.Stop();
+
+Console.WriteLine();
+Console.WriteLine($"(Streaming completed after {stopwatch.Elapsed.TotalSeconds:F1}s.)");
+
+// --- Server mode (launched as a child process via --server) ---------------------------------
+static async Task RunMcpServerAsync()
+{
+    var builder = Host.CreateApplicationBuilder();
+
+    // Critical for stdio transport: any provider that writes to stdout will corrupt the
+    // JSON-RPC channel. Clear all providers; the MCP SDK routes its own diagnostics
+    // appropriately.
+    builder.Logging.ClearProviders();
+    builder.Logging.AddConsole(o => o.LogToStandardErrorThreshold = LogLevel.Trace);
+
+    builder.Services.AddMcpServer(o =>
+    {
+        o.TaskStore = new InMemoryMcpTaskStore();
+        o.ServerInfo = new Implementation { Name = "DatasetAnalyzer", Version = "1.0.0" };
+    })
+    .WithStdioServerTransport()
+    .WithTools<DatasetAnalysisTools>();
+
+    await builder.Build().RunAsync();
+}
+
+#pragma warning disable CA1812 // Discovered by MCP SDK via [McpServerToolType] attribute
+[McpServerToolType]
+internal sealed class DatasetAnalysisTools
+#pragma warning restore CA1812
+{
+    [McpServerTool(Name = "AnalyzeDataset", TaskSupport = ToolTaskSupport.Required)]
+    [Description("Analyze a tabular dataset and return summary statistics. This tool simulates a long-running analytic job (~15 seconds).")]
+    public static async Task<string> AnalyzeDatasetAsync(
+        [Description("The dataset identifier, e.g. 'sales-2025-q1'.")] string datasetName,
+        CancellationToken cancellationToken)
+    {
+        await Task.Delay(TimeSpan.FromSeconds(15), cancellationToken).ConfigureAwait(false);
+
+        return $"Findings for '{datasetName}': 12,403 rows; avg revenue $48,712; 3 anomalies detected in week 7; outliers concentrated in EMEA region.";
+    }
+}

dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_LongRunningTask_Client/README.md

@@ -0,0 +1,60 @@
+# Agent with MCP long-running task (transparent polling)
+
+This sample demonstrates Microsoft Agent Framework's MCP long-running task support: an agent invokes an MCP tool whose execution takes too long for a single request/response cycle, and the framework polls it to completion behind the function-calling loop. From the agent's perspective the tool simply returns its result.
+
+## What this sample shows
+
+- Using `McpClient.ListAgentToolsWithTaskSupportAsync(...)` (in `Microsoft.Agents.AI.Mcp`) to wrap MCP tools with task-aware behavior.
+- Configuring `McpTaskOptions.DefaultTimeToLive` to bound the server-side task.
+- Hosting a small MCP server (in this same executable, launched with `--server`) that advertises `execution.taskSupport=required` on a tool that sleeps for ~15 seconds.
+- No application-level polling, continuation tokens, or `AllowBackgroundResponses` flag are required.
+
+The decorator drives the lifecycle internally:
+
+1. `tools/call` augmented with task metadata (`CallToolAsTaskAsync`)
+2. `tasks/get` polled until terminal (`PollTaskUntilCompleteAsync`)
+3. `tasks/result` retrieved (`GetTaskResultAsync`) and returned to the function-calling loop
+
+The sample exercises both invocation styles against the same wrapper:
+
+- `agent.RunAsync(...)` blocks until the tool completes (~15 seconds in this sample) and returns the final response.
+- `agent.RunStreamingAsync(...)` returns immediately and yields `AgentResponseUpdate` chunks as the model emits them; in this scenario the model only begins streaming its answer once the wrapped tool's task reaches the `Completed` state, so the perceived "pause" before tokens arrive reflects tool execution time, not stream-channel latency.
+
+# Prerequisites
+
+- .NET 10 SDK or later
+- Azure OpenAI service endpoint and a chat-completions deployment
+- Azure CLI installed and authenticated (`az login`)
+
+Set the following environment variables:
+
+```powershell
+$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # optional; defaults to gpt-5.4-mini
+```
+
+# Running
+
+```powershell
+cd Agent_MCP_LongRunningTask_Client
+dotnet run
+```
+
+You should see output similar to:
+
+```
+=== Transparent long-running MCP task (RunAsync) ===
+Asking the agent to analyze a dataset; the tool takes ~15s to complete.
+RunAsync blocks while the wrapper polls the task to completion.
+
+Agent response (after 15.4s):
+The 'sales-2025-q1' dataset contains 12,403 rows ...
+
+=== Transparent long-running MCP task (RunStreamingAsync) ===
+Same request via the streaming API. Updates only begin to arrive after the
+tool's task reaches the Completed state, since the model needs the tool result
+before it can produce its final answer.
+
+The 'sales-2025-q1' dataset contains 12,403 rows ...
+(Streaming completed after 15.7s.)
+```

dotnet/samples/02-agents/ModelContextProtocol/README.md

@@ -22,6 +22,7 @@ Before you begin, ensure you have the following prerequisites:
 |[Agent with MCP server tools](./Agent_MCP_Server/)|This sample demonstrates how to use MCP server tools with a simple agent|
 |[Agent with MCP server tools and authorization](./Agent_MCP_Server_Auth/)|This sample demonstrates how to use MCP Server tools from a protected MCP server with a simple agent|
 |[Responses Agent with Hosted MCP tool](./ResponseAgent_Hosted_MCP/)|This sample demonstrates how to use the Hosted MCP tool with the Responses Service, where the service invokes any MCP tools directly|
+|[Agent with long-running MCP task (transparent polling)](./Agent_MCP_LongRunningTask_Client/)|This sample demonstrates how an agent transparently drives a long-running MCP task (SEP-2663) to completion. The wrapper polls the task internally on both `RunAsync` and `RunStreamingAsync` invocations.|
 
 ## Running the samples from the console
 

dotnet/samples/03-workflows/Orchestration/Magentic/Magentic.csproj

@@ -0,0 +1,23 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <NoWarn>$(NoWarn);MAAIW001;OPENAI001</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/03-workflows/Orchestration/Magentic/Program.cs

@@ -0,0 +1,193 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample ports the Python Magentic orchestration sample to .NET.
+// A Magentic workflow coordinates a researcher and a coder, streams orchestration
+// events as the plan evolves, and prints the final conversation transcript.
+
+using Azure.AI.Projects;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Agents.AI.Workflows.Specialized.Magentic;
+using Microsoft.Extensions.AI;
+
+namespace WorkflowMagenticOrchestrationSample;
+
+/// <summary>
+/// Demonstrates Magentic orchestration with a researcher, a coder, and an LLM manager.
+/// </summary>
+/// <remarks>
+/// Pre-requisites:
+/// - An Azure AI Foundry project endpoint and model deployment must be configured.
+/// - Run <c>az login</c> before executing the sample.
+/// </remarks>
+public static class Program
+{
+    private const string TaskPrompt =
+        "I am preparing a report on the energy efficiency of different machine learning model architectures. " +
+        "Compare the estimated training and inference energy consumption of ResNet-50, BERT-base, and GPT-2 " +
+        "on standard datasets (e.g., ImageNet for ResNet, GLUE for BERT, WebText for GPT-2). " +
+        "Then, estimate the CO2 emissions associated with each, assuming training on an Azure Standard_NC6s_v3 " +
+        "VM for 24 hours. Provide tables for clarity, and recommend the most energy-efficient model " +
+        "per task type (image classification, text classification, and text generation).";
+
+    private static async Task Main()
+    {
+        string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
+            ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+        string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "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 projectClient = new(new Uri(endpoint), new DefaultAzureCredential());
+
+        AIAgent researcherAgent = projectClient.AsAIAgent(
+            deploymentName,
+            name: "ResearcherAgent",
+            description: "Specialist in research and information gathering.",
+            instructions: "You are a researcher. Find relevant information without doing additional computation or quantitative analysis.");
+
+        AIAgent coderAgent = projectClient.AsAIAgent(
+            deploymentName,
+            name: "CoderAgent",
+            description: "A helpful assistant that writes and executes code to analyze data.",
+            instructions: "You solve quantitative questions by writing and running code. Show the analysis and the computation process clearly.",
+            tools: [new HostedCodeInterpreterTool()]);
+
+        AIAgent managerAgent = projectClient.AsAIAgent(
+            deploymentName,
+            name: "MagenticManager",
+            description: "Orchestrator that coordinates the research and coding workflow.",
+            instructions: "You coordinate the team to complete complex tasks efficiently.");
+
+        Workflow workflow = new MagenticWorkflowBuilder(managerAgent)
+            .AddParticipants([researcherAgent, coderAgent])
+            .WithName("Magentic Orchestration Workflow")
+            .WithDescription("Coordinates a researcher and coder to solve a complex analytical task.")
+            .RequirePlanSignoff(false)
+            .WithMaxRounds(10)
+            .WithMaxStalls(3)
+            .WithMaxResets(2)
+            .Build();
+
+        Console.WriteLine("Building Magentic workflow...");
+        Console.WriteLine();
+        Console.WriteLine($"Task: {TaskPrompt}");
+        Console.WriteLine();
+        Console.WriteLine("Starting workflow execution...");
+
+        await using StreamingRun run = await InProcessExecution.RunStreamingAsync(
+            workflow,
+            new List<ChatMessage> { new(ChatRole.User, TaskPrompt) });
+
+        await run.TrySendMessageAsync(new TurnToken(emitEvents: true));
+
+        string? lastResponseId = null;
+        WorkflowOutputEvent? finalOutput = null;
+
+        await foreach (WorkflowEvent workflowEvent in run.WatchStreamAsync())
+        {
+            switch (workflowEvent)
+            {
+                case AgentResponseUpdateEvent updateEvent:
+                    WriteStreamingUpdate(updateEvent, ref lastResponseId);
+                    break;
+
+                case MagenticPlanCreatedEvent planCreated:
+                    WriteMagenticMessage("Initial Plan", planCreated.FullTaskLedger.Text);
+                    PauseIfInteractive();
+                    break;
+
+                case MagenticReplannedEvent replanned:
+                    WriteMagenticMessage("Replanned", replanned.FullTaskLedger.Text);
+                    PauseIfInteractive();
+                    break;
+
+                case MagenticProgressLedgerUpdatedEvent progressUpdated:
+                    WriteMagenticMessage("Progress Ledger", FormatProgressLedger(progressUpdated.ProgressLedger));
+                    PauseIfInteractive();
+                    break;
+
+                case WorkflowOutputEvent outputEvent when outputEvent.Is<List<ChatMessage>>():
+                    finalOutput = outputEvent;
+                    break;
+
+                case WorkflowErrorEvent workflowError:
+                    Console.ForegroundColor = ConsoleColor.Red;
+                    Console.Error.WriteLine(workflowError.Exception?.ToString() ?? "Unknown workflow error occurred.");
+                    Console.ResetColor();
+                    break;
+
+                case ExecutorFailedEvent executorFailed:
+                    Console.ForegroundColor = ConsoleColor.Red;
+                    Console.Error.WriteLine($"Executor '{executorFailed.ExecutorId}' failed with {(executorFailed.Data is null ? "unknown error" : $"exception {executorFailed.Data}")}.");
+                    Console.ResetColor();
+                    break;
+            }
+        }
+
+        if (finalOutput?.As<List<ChatMessage>>() is { } transcript)
+        {
+            Console.WriteLine();
+            Console.WriteLine(new string('=', 80));
+            Console.WriteLine();
+            Console.WriteLine("Final Conversation Transcript:");
+            Console.WriteLine();
+
+            foreach (ChatMessage message in transcript)
+            {
+                Console.WriteLine($"{message.AuthorName ?? message.Role.ToString()}: {message.Text}");
+                Console.WriteLine();
+            }
+        }
+    }
+
+    private static void WriteStreamingUpdate(AgentResponseUpdateEvent updateEvent, ref string? lastResponseId)
+    {
+        string responseId = updateEvent.Update.ResponseId ?? updateEvent.Update.MessageId ?? updateEvent.ExecutorId;
+        if (!string.Equals(responseId, lastResponseId, StringComparison.Ordinal))
+        {
+            if (lastResponseId is not null)
+            {
+                Console.WriteLine();
+                Console.WriteLine();
+            }
+
+            Console.Write($"- {updateEvent.ExecutorId}: ");
+            lastResponseId = responseId;
+        }
+
+        if (!string.IsNullOrEmpty(updateEvent.Update.Text))
+        {
+            Console.Write(updateEvent.Update.Text);
+        }
+    }
+
+    private static void WriteMagenticMessage(string title, string? content)
+    {
+        Console.WriteLine();
+        Console.WriteLine($"[Magentic {title}]");
+        Console.WriteLine(content);
+    }
+
+    private static string FormatProgressLedger(MagenticProgressLedger ledger) =>
+        string.Join(Environment.NewLine,
+            $"Request satisfied: {ledger.IsRequestSatisfied}",
+            $"In loop: {ledger.IsInLoop}",
+            $"Making progress: {ledger.IsProgressBeingMade}",
+            $"Next speaker: {ledger.NextSpeaker}",
+            $"Instruction: {ledger.InstructionOrQuestion}");
+
+    private static void PauseIfInteractive()
+    {
+        if (Console.IsInputRedirected || Console.IsOutputRedirected)
+        {
+            return;
+        }
+
+        Console.Write("Press Enter to continue...");
+        Console.ReadLine();
+        Console.WriteLine();
+    }
+}

dotnet/samples/03-workflows/Orchestration/Magentic/README.md

@@ -0,0 +1,40 @@
+# Magentic Orchestration Sample
+
+This sample showcases the Magentic Orchestration Pattern in .NET, setting up a team with three roles:
+
+- **ResearcherAgent** gathers factual background information.
+- **CoderAgent** uses `HostedCodeInterpreterTool` for quantitative analysis.
+- **MagenticManager** plans the work, tracks progress, and decides who should act next.
+
+## What This Sample Demonstrates
+
+- Building a Magentic workflow with `MagenticWorkflowBuilder`
+- Combining standard responses-based agents with a code interpreter-enabled participant
+- Streaming orchestration events such as the initial plan, replans, and progress-ledger updates
+- Printing the final multi-agent conversation transcript
+
+## Prerequisites
+
+- `AZURE_AI_PROJECT_ENDPOINT` set to your Azure AI Foundry project endpoint
+- `AZURE_AI_MODEL_DEPLOYMENT_NAME` set to your model deployment name (defaults to `gpt-5.4-mini`)
+- `az login` completed before running the sample
+
+## Running the Sample
+
+```bash
+dotnet run
+```
+
+## Expected Output
+
+The sample prints:
+
+1. The original task prompt
+2. Streamed updates from the participating agents
+3. Magentic plan and progress-ledger events as the workflow coordinates the team
+4. The final conversation transcript returned by the workflow
+
+## Related Samples
+
+- [Handoff Orchestration](../Handoff) - another multi-agent orchestration pattern in .NET workflows
+- [Python Magentic workflow sample](../../../../../python/samples/03-workflows/orchestrations/magentic.py) - the source scenario that this sample ports

dotnet/samples/03-workflows/README.md

@@ -62,3 +62,4 @@ Once completed, please proceed to the other samples listed below.
 | Sample | Concepts |
 |--------|----------|
 | [Handoff Orchestration](./Orchestration/Handoff) | Introduces the Handoff Orchestration pattern |
+| [Magentic Orchestration](./Orchestration/Magentic) | Coordinates multiple agents with a Magentic manager, streamed plan events, and a final transcript |

dotnet/src/Microsoft.Agents.AI.A2A/A2AAgent.cs

@@ -474,6 +474,7 @@ public sealed class A2AAgent : AIAgent
             ResponseId = statusUpdateEvent.TaskId,
             RawRepresentation = statusUpdateEvent,
             Role = ChatRole.Assistant,
+            MessageId = statusUpdateEvent.Status.Message?.MessageId,
             FinishReason = MapTaskStateToFinishReason(statusUpdateEvent.Status.State),
             AdditionalProperties = statusUpdateEvent.Metadata?.ToAdditionalProperties() ?? [],
             Contents = statusUpdateEvent.Status.GetUserInputRequests(),

dotnet/src/Microsoft.Agents.AI.Mcp/McpClientTaskExtensions.cs

@@ -0,0 +1,61 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Collections.Generic;
+using System.Threading;
+using System.Threading.Tasks;
+using Microsoft.Extensions.AI;
+using Microsoft.Shared.Diagnostics;
+using ModelContextProtocol.Client;
+using ModelContextProtocol.Protocol;
+
+namespace Microsoft.Agents.AI.Mcp;
+
+/// <summary>
+/// Extension methods on <see cref="McpClient"/> that expose MCP server tools to a Microsoft
+/// Agent Framework agent with optional long-running task (SEP-2663) handling.
+/// </summary>
+public static class McpClientTaskExtensions
+{
+    /// <summary>
+    /// Lists tools advertised by the connected MCP server and returns each as an
+    /// <see cref="AIFunction"/>. Tools that declare <see cref="ToolTaskSupport.Required"/>
+    /// are wrapped with task-aware behavior so an agent can transparently drive long-running
+    /// invocations. All other tools — including those that declare
+    /// <see cref="ToolTaskSupport.Optional"/> — are returned as-is, preserving inline
+    /// (synchronous) invocation semantics by default.
+    /// </summary>
+    /// <param name="client">The connected MCP client.</param>
+    /// <param name="options">
+    /// Options that control the task lifecycle for task-capable tools.
+    /// When <see langword="null"/>, defaults described on <see cref="McpTaskOptions"/> apply.
+    /// </param>
+    /// <param name="cancellationToken">Token used to cancel listing the server's tools.</param>
+    /// <returns>The tools, ready to pass to <c>AsAIAgent(tools: …)</c>.</returns>
+    public static async Task<IReadOnlyList<AIFunction>> ListAgentToolsWithTaskSupportAsync(
+        this McpClient client,
+        McpTaskOptions? options = null,
+        CancellationToken cancellationToken = default)
+    {
+        _ = Throw.IfNull(client);
+
+        McpTaskOptions effectiveOptions = options ?? new McpTaskOptions();
+
+        IList<McpClientTool> tools = await client.ListToolsAsync(cancellationToken: cancellationToken).ConfigureAwait(false);
+
+        AIFunction[] result = new AIFunction[tools.Count];
+        for (int i = 0; i < tools.Count; i++)
+        {
+            ToolTaskSupport? taskSupport = tools[i].ProtocolTool.Execution?.TaskSupport;
+            if (taskSupport is ToolTaskSupport.Required)
+            {
+                result[i] = new TaskAwareMcpClientAIFunction(client, tools[i], effectiveOptions);
+            }
+            else
+            {
+                result[i] = tools[i];
+            }
+        }
+
+        return result;
+    }
+}

dotnet/src/Microsoft.Agents.AI.Mcp/McpTaskOptions.cs

@@ -0,0 +1,39 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+
+namespace Microsoft.Agents.AI.Mcp;
+
+/// <summary>
+/// Configures how an MCP client wrapper drives the
+/// <see href="https://modelcontextprotocol.io/specification/2025-11-25/basic/utilities/tasks">MCP tasks</see>
+/// lifecycle when an underlying server tool returns a <c>CreateTaskResult</c>.
+/// </summary>
+/// <remarks>
+/// <para>
+/// All members of this type are subject to change. The MCP task surface is experimental
+/// and tracks the in-flight specification.
+/// </para>
+/// </remarks>
+public sealed class McpTaskOptions
+{
+    /// <summary>
+    /// Gets or sets the time-to-live the wrapper attaches to a newly created server-side task.
+    /// </summary>
+    /// <remarks>
+    /// When <see langword="null"/> the wrapper omits the <c>ttl</c> hint and lets the server
+    /// pick its own value. The server's chosen TTL is always authoritative.
+    /// </remarks>
+    public TimeSpan? DefaultTimeToLive { get; set; }
+
+    /// <summary>
+    /// Gets or sets a value indicating whether the wrapper should send
+    /// <c>tasks/cancel</c> when the local <see cref="System.Threading.CancellationToken"/>
+    /// fires during a tool invocation.
+    /// </summary>
+    /// <remarks>
+    /// Defaults to <see langword="true"/>: a local cancellation means "the caller is giving up
+    /// on this tool invocation" and the server-side task has no further consumer.
+    /// </remarks>
+    public bool CancelRemoteTaskOnLocalCancellation { get; set; } = true;
+}

dotnet/src/Microsoft.Agents.AI.Mcp/Microsoft.Agents.AI.Mcp.csproj

@@ -0,0 +1,37 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <TargetFrameworks>$(TargetFrameworksCore)</TargetFrameworks>
+    <RootNamespace>Microsoft.Agents.AI.Mcp</RootNamespace>
+    <VersionSuffix>alpha</VersionSuffix>
+    <NoWarn>$(NoWarn);MEAI001;MCPEXP001</NoWarn>
+  </PropertyGroup>
+
+  <Import Project="$(RepoRoot)/dotnet/nuget/nuget-package.props" />
+
+  <PropertyGroup>
+    <InjectSharedThrow>true</InjectSharedThrow>
+    <InjectTrimAttributesOnLegacy>true</InjectTrimAttributesOnLegacy>
+  </PropertyGroup>
+
+  <PropertyGroup>
+    <Title>Microsoft Agent Framework MCP</Title>
+    <Description>Provides Microsoft Agent Framework support for Model Context Protocol (MCP), including long-running task (SEP-2663) integration for MCP clients.</Description>
+  </PropertyGroup>
+
+  <!-- Disable package validation baseline until the first release -->
+  <PropertyGroup>
+    <PackageValidationBaselineVersion />
+    <EnablePackageValidation>false</EnablePackageValidation>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Extensions.AI" />
+    <PackageReference Include="ModelContextProtocol" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <InternalsVisibleTo Include="Microsoft.Agents.AI.Mcp.UnitTests" />
+  </ItemGroup>
+
+</Project>

dotnet/src/Microsoft.Agents.AI.Mcp/TaskAwareMcpClientAIFunction.cs

@@ -0,0 +1,147 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using Microsoft.Extensions.AI;
+using Microsoft.Shared.Diagnostics;
+using ModelContextProtocol;
+using ModelContextProtocol.Client;
+using ModelContextProtocol.Protocol;
+
+namespace Microsoft.Agents.AI.Mcp;
+
+/// <summary>
+/// An <see cref="AIFunction"/> wrapper around an <see cref="McpClientTool"/> that drives the
+/// <see href="https://modelcontextprotocol.io/specification/2025-11-25/basic/utilities/tasks">MCP long-running task</see>
+/// lifecycle (SEP-2663) on behalf of the agent's tool loop.
+/// </summary>
+/// <remarks>
+/// <para>
+/// The wrapper invokes the tool with task augmentation via
+/// <see cref="McpClient.CallToolAsTaskAsync"/>, polls to completion via
+/// <see cref="McpClient.PollTaskUntilCompleteAsync"/>, and fetches the result via
+/// <see cref="McpClient.GetTaskResultAsync"/>. The result is returned to the caller as a
+/// <see cref="JsonElement"/> containing the serialized <see cref="CallToolResult"/> — the
+/// same wire shape produced by <see cref="McpClientTool"/>.<see cref="AIFunction.InvokeAsync(AIFunctionArguments, CancellationToken)"/>
+/// so that downstream <see cref="FunctionResultContent"/> serialization is byte-identical to
+/// a non-task-augmented MCP tool call. The agent's function-calling loop is unaware that a
+/// task was used.
+/// </para>
+/// <para>
+/// This wrapper is intended to be applied only to tools whose
+/// <see cref="ToolExecution.TaskSupport"/> is <see cref="ToolTaskSupport.Required"/>
+/// (selected by <see cref="McpClientTaskExtensions.ListAgentToolsWithTaskSupportAsync"/>).
+/// As a defensive fallback, if the server still rejects the task-augmented call with
+/// <see cref="McpErrorCode.MethodNotFound"/> (e.g. because tool-level capabilities changed
+/// between <c>tools/list</c> and invocation), the wrapper transparently falls back to a
+/// non-augmented call through the inner <see cref="McpClientTool"/>.
+/// </para>
+/// </remarks>
+internal sealed class TaskAwareMcpClientAIFunction : AIFunction
+{
+    private readonly McpClient _client;
+    private readonly McpClientTool _inner;
+    private readonly McpTaskOptions _options;
+
+    internal TaskAwareMcpClientAIFunction(McpClient client, McpClientTool inner, McpTaskOptions options)
+    {
+        _ = Throw.IfNull(client);
+        _ = Throw.IfNull(inner);
+        _ = Throw.IfNull(options);
+
+        this._client = client;
+        this._inner = inner;
+        this._options = options;
+    }
+
+    /// <inheritdoc />
+    public override string Name => this._inner.Name;
+
+    /// <inheritdoc />
+    public override string Description => this._inner.Description;
+
+    /// <inheritdoc />
+    public override JsonElement JsonSchema => this._inner.JsonSchema;
+
+    /// <inheritdoc />
+    public override JsonElement? ReturnJsonSchema => this._inner.ReturnJsonSchema;
+
+    /// <inheritdoc />
+    public override JsonSerializerOptions JsonSerializerOptions => this._inner.JsonSerializerOptions;
+
+    /// <inheritdoc />
+    protected override async ValueTask<object?> InvokeCoreAsync(
+        AIFunctionArguments arguments,
+        CancellationToken cancellationToken)
+    {
+        _ = Throw.IfNull(arguments);
+
+        McpTaskMetadata? metadata = null;
+        if (this._options.DefaultTimeToLive is TimeSpan ttl)
+        {
+            metadata = new McpTaskMetadata { TimeToLive = ttl };
+        }
+
+        McpTask task;
+        try
+        {
+            task = await this._client.CallToolAsTaskAsync(
+                this._inner.Name,
+                arguments,
+                taskMetadata: metadata,
+                progress: null,
+                options: null,
+                cancellationToken: cancellationToken).ConfigureAwait(false);
+        }
+        catch (McpProtocolException ex) when (ex.ErrorCode == McpErrorCode.MethodNotFound)
+        {
+            // Defensive fallback: the server's advertised TaskSupport indicated this tool
+            // could be invoked as a task, but the server now rejects task augmentation for it
+            // (e.g. capability changed between tools/list and invocation). Fall back to a
+            // non-augmented call through the inner McpClientTool.
+            return await this._inner.InvokeAsync(arguments, cancellationToken).ConfigureAwait(false);
+        }
+
+        return await this.PollAndRetrieveResultAsync(task.TaskId, cancellationToken).ConfigureAwait(false);
+    }
+
+    private async Task<JsonElement> PollAndRetrieveResultAsync(string taskId, CancellationToken cancellationToken)
+    {
+        try
+        {
+            McpTask terminal = await this._client.PollTaskUntilCompleteAsync(taskId, options: null, cancellationToken).ConfigureAwait(false);
+
+            return terminal.Status switch
+            {
+                McpTaskStatus.Completed => await this._client.GetTaskResultAsync(taskId, options: null, cancellationToken).ConfigureAwait(false),
+                McpTaskStatus.Cancelled => throw new OperationCanceledException(FormatTerminalStatusMessage(taskId, terminal)),
+                _ => throw new InvalidOperationException(FormatTerminalStatusMessage(taskId, terminal)),// Failed (or any future non-terminal-but-unhandled status that the poll loop returns).
+            };
+        }
+        catch (OperationCanceledException) when (this._options.CancelRemoteTaskOnLocalCancellation && cancellationToken.IsCancellationRequested)
+        {
+            await this.TryCancelTaskAsync(taskId).ConfigureAwait(false);
+            throw;
+        }
+    }
+
+    private static string FormatTerminalStatusMessage(string taskId, McpTask terminal)
+        => string.IsNullOrEmpty(terminal.StatusMessage)
+            ? $"MCP task '{taskId}' ended in terminal status '{terminal.Status}'."
+            : $"MCP task '{taskId}' ended in terminal status '{terminal.Status}': {terminal.StatusMessage}";
+
+    private async Task TryCancelTaskAsync(string taskId)
+    {
+        try
+        {
+            using var cts = new CancellationTokenSource(TimeSpan.FromSeconds(5));
+            _ = await this._client.CancelTaskAsync(taskId, options: null, cts.Token).ConfigureAwait(false);
+        }
+        catch
+        {
+            // Best-effort cancellation; do not mask the original cancellation reason.
+        }
+    }
+}

dotnet/tests/Microsoft.Agents.AI.A2A.UnitTests/A2AAgentTests.cs

@@ -1124,6 +1124,7 @@ public sealed class A2AAgentTests : IDisposable
         Assert.Equal(TaskId, update0.ResponseId);
         Assert.Equal(this._agent.Id, update0.AgentId);
         Assert.Null(update0.FinishReason);
+        Assert.Null(update0.MessageId);
         Assert.IsType<TaskStatusUpdateEvent>(update0.RawRepresentation);
 
         // Assert - session should be updated with context and task IDs
@@ -1132,6 +1133,50 @@ public sealed class A2AAgentTests : IDisposable
         Assert.Equal(TaskId, a2aSession.TaskId);
     }
 
+    [Fact]
+    public async Task RunStreamingAsync_WithTaskStatusUpdateEventAndMessageId_YieldsMessageIdAsync()
+    {
+        // Arrange
+        const string TaskId = "task-status-msg-123";
+        const string ContextId = "ctx-status-msg-456";
+        const string ExpectedMessageId = "msg-status-789";
+
+        this._handler.StreamingResponseToReturn = new StreamResponse
+        {
+            StatusUpdate = new TaskStatusUpdateEvent
+            {
+                TaskId = TaskId,
+                ContextId = ContextId,
+                Status = new()
+                {
+                    State = TaskState.Working,
+                    Message = new Message
+                    {
+                        MessageId = ExpectedMessageId,
+                        Parts = [Part.FromText("Processing your request...")]
+                    }
+                }
+            }
+        };
+
+        var session = await this._agent.CreateSessionAsync();
+
+        // Act
+        var updates = new List<AgentResponseUpdate>();
+        await foreach (var update in this._agent.RunStreamingAsync("Check task status", session))
+        {
+            updates.Add(update);
+        }
+
+        // Assert
+        Assert.Single(updates);
+
+        var update0 = updates[0];
+        Assert.Equal(ExpectedMessageId, update0.MessageId);
+        Assert.Equal(TaskId, update0.ResponseId);
+        Assert.IsType<TaskStatusUpdateEvent>(update0.RawRepresentation);
+    }
+
     [Fact]
     public async Task RunStreamingAsync_WithInputRequiredStatusUpdate_YieldsStatusContentsAsync()
     {
@@ -1150,6 +1195,7 @@ public sealed class A2AAgentTests : IDisposable
                     State = TaskState.InputRequired,
                     Message = new Message
                     {
+                        MessageId = "input-msg-789",
                         Parts = [Part.FromText("Where would you like to fly?")]
                     }
                 }
@@ -1170,6 +1216,7 @@ public sealed class A2AAgentTests : IDisposable
 
         var update0 = updates[0];
         Assert.Equal(TaskId, update0.ResponseId);
+        Assert.Equal("input-msg-789", update0.MessageId);
         Assert.Null(update0.FinishReason);
 
         var textContent = Assert.Single(update0.Contents.OfType<TextContent>());

dotnet/tests/Microsoft.Agents.AI.Mcp.UnitTests/EmptyServiceProvider.cs

@@ -0,0 +1,15 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+
+namespace Microsoft.Agents.AI.Mcp.UnitTests;
+
+/// <summary>
+/// Minimal empty <see cref="IServiceProvider"/> for in-memory fixtures that don't use DI.
+/// </summary>
+internal sealed class EmptyServiceProvider : IServiceProvider
+{
+    public static EmptyServiceProvider Instance { get; } = new();
+
+    public object? GetService(Type serviceType) => null;
+}

dotnet/tests/Microsoft.Agents.AI.Mcp.UnitTests/InMemoryMcpServerFixture.cs

@@ -0,0 +1,127 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.IO;
+using System.IO.Pipelines;
+using System.Threading;
+using System.Threading.Tasks;
+using Microsoft.Extensions.Logging.Abstractions;
+using ModelContextProtocol;
+using ModelContextProtocol.Client;
+using ModelContextProtocol.Protocol;
+using ModelContextProtocol.Server;
+
+namespace Microsoft.Agents.AI.Mcp.UnitTests;
+
+/// <summary>
+/// In-process MCP server fixture that pairs a <see cref="McpServer"/> and a <see cref="McpClient"/>
+/// over duplex <see cref="Pipe"/>-backed streams so unit tests can exercise the
+/// real task-augmentation protocol without spawning a child process or opening a socket.
+/// </summary>
+internal sealed class InMemoryMcpServerFixture : IAsyncDisposable
+{
+    private readonly McpServer _server;
+    private readonly Task _serverLoop;
+    private readonly CancellationTokenSource _cts;
+
+    public McpClient Client { get; }
+
+    private InMemoryMcpServerFixture(McpServer server, McpClient client, Task serverLoop, CancellationTokenSource cts)
+    {
+        this._server = server;
+        this.Client = client;
+        this._serverLoop = serverLoop;
+        this._cts = cts;
+    }
+
+    public static async Task<InMemoryMcpServerFixture> CreateAsync(
+        McpServerPrimitiveCollection<McpServerTool> tools,
+        CancellationToken cancellationToken = default)
+    {
+        Pipe clientToServer = new();
+        Pipe serverToClient = new();
+
+        // Stream conventions:
+        //   StreamClientTransport(serverInput, serverOutput, ...): serverInput is what the client
+        //   WRITES to (server reads it); serverOutput is what the client READS from (server writes it).
+        //   StreamServerTransport(input, output, ...): input is what the server READS from; output
+        //   is what the server WRITES to.
+        Stream clientWriteStream = clientToServer.Writer.AsStream();
+        Stream clientReadStream = serverToClient.Reader.AsStream();
+        Stream serverReadStream = clientToServer.Reader.AsStream();
+        Stream serverWriteStream = serverToClient.Writer.AsStream();
+
+        StreamServerTransport serverTransport = new(
+            serverReadStream,
+            serverWriteStream,
+            "test-server",
+            NullLoggerFactory.Instance);
+
+        McpServerOptions serverOptions = new()
+        {
+            ServerInfo = new Implementation { Name = "test-server", Version = "1.0.0" },
+            TaskStore = new InMemoryMcpTaskStore(),
+            ToolCollection = tools,
+        };
+
+        McpServer server = McpServer.Create(
+            serverTransport,
+            serverOptions,
+            NullLoggerFactory.Instance,
+            EmptyServiceProvider.Instance);
+
+        CancellationTokenSource cts = new();
+        Task serverLoop = Task.Run(() => server.RunAsync(cts.Token), cts.Token);
+
+        StreamClientTransport clientTransport = new(
+            clientWriteStream,
+            clientReadStream,
+            NullLoggerFactory.Instance);
+
+        McpClient client = await McpClient.CreateAsync(
+            clientTransport,
+            clientOptions: null,
+            NullLoggerFactory.Instance,
+            cancellationToken).ConfigureAwait(false);
+
+        return new InMemoryMcpServerFixture(server, client, serverLoop, cts);
+    }
+
+    public async ValueTask DisposeAsync()
+    {
+        try
+        {
+            await this.Client.DisposeAsync().ConfigureAwait(false);
+        }
+        catch
+        {
+            // Best effort.
+        }
+
+        this._cts.Cancel();
+
+        try
+        {
+            await this._serverLoop.ConfigureAwait(false);
+        }
+        catch (OperationCanceledException)
+        {
+            // Expected.
+        }
+        catch
+        {
+            // Best effort.
+        }
+
+        try
+        {
+            await this._server.DisposeAsync().ConfigureAwait(false);
+        }
+        catch
+        {
+            // Best effort.
+        }
+
+        this._cts.Dispose();
+    }
+}

dotnet/tests/Microsoft.Agents.AI.Mcp.UnitTests/ListAgentToolsWithTaskSupportTests.cs

@@ -0,0 +1,55 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.Linq;
+using System.Threading.Tasks;
+using FluentAssertions;
+using Microsoft.Extensions.AI;
+using ModelContextProtocol.Protocol;
+using ModelContextProtocol.Server;
+
+namespace Microsoft.Agents.AI.Mcp.UnitTests;
+
+public class ListAgentToolsWithTaskSupportTests
+{
+    [Fact]
+    public async Task ListAgentToolsWithTaskSupport_WrapsTaskCapableTools_LeavesOthersAsIsAsync()
+    {
+        // Arrange
+        McpServerPrimitiveCollection<McpServerTool> tools = [
+            TestTools.Create("opt", ToolTaskSupport.Optional, () => "opt-result"),
+            TestTools.Create("req", ToolTaskSupport.Required, () => "req-result"),
+            TestTools.Create("forb", ToolTaskSupport.Forbidden, () => "forb-result"),
+            TestTools.Create("none", taskSupport: null, () => "none-result"),
+        ];
+        await using InMemoryMcpServerFixture fixture = await InMemoryMcpServerFixture.CreateAsync(tools);
+
+        // Act
+        var result = await fixture.Client.ListAgentToolsWithTaskSupportAsync();
+
+        // Assert
+        result.Should().HaveCount(4);
+        AIFunction opt = result.Single(f => f.Name == "opt");
+        AIFunction req = result.Single(f => f.Name == "req");
+        AIFunction forb = result.Single(f => f.Name == "forb");
+        AIFunction none = result.Single(f => f.Name == "none");
+
+        req.Should().BeOfType<TaskAwareMcpClientAIFunction>("Required tools must be wrapped");
+        opt.Should().NotBeOfType<TaskAwareMcpClientAIFunction>("Optional tools must not be wrapped; inline invocation is preserved by default");
+        forb.Should().NotBeOfType<TaskAwareMcpClientAIFunction>("Forbidden tools must not be wrapped");
+        none.Should().NotBeOfType<TaskAwareMcpClientAIFunction>("Tools without execution metadata must not be wrapped");
+    }
+
+    [Fact]
+    public async Task ListAgentToolsWithTaskSupport_ThrowsOnNullClientAsync()
+    {
+        // Arrange
+        ModelContextProtocol.Client.McpClient client = null!;
+
+        // Act
+        Func<Task> act = async () => await client.ListAgentToolsWithTaskSupportAsync();
+
+        // Assert
+        await act.Should().ThrowAsync<ArgumentNullException>();
+    }
+}

dotnet/tests/Microsoft.Agents.AI.Mcp.UnitTests/McpTaskOptionsTests.cs

@@ -0,0 +1,19 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using FluentAssertions;
+
+namespace Microsoft.Agents.AI.Mcp.UnitTests;
+
+public class McpTaskOptionsTests
+{
+    [Fact]
+    public void Defaults_AreSane()
+    {
+        // Act
+        McpTaskOptions options = new();
+
+        // Assert
+        options.DefaultTimeToLive.Should().BeNull();
+        options.CancelRemoteTaskOnLocalCancellation.Should().BeTrue();
+    }
+}

dotnet/tests/Microsoft.Agents.AI.Mcp.UnitTests/Microsoft.Agents.AI.Mcp.UnitTests.csproj

@@ -0,0 +1,18 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <TargetFrameworks>$(TargetFrameworksCore)</TargetFrameworks>
+    <NoWarn>$(NoWarn);MCPEXP001</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="FluentAssertions" />
+    <PackageReference Include="Microsoft.Extensions.Logging.Abstractions" />
+    <PackageReference Include="ModelContextProtocol" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\src\Microsoft.Agents.AI.Mcp\Microsoft.Agents.AI.Mcp.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/tests/Microsoft.Agents.AI.Mcp.UnitTests/TaskAwareMcpClientAIFunctionTests.cs

@@ -0,0 +1,159 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.Linq;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
+using FluentAssertions;
+using Microsoft.Extensions.AI;
+using ModelContextProtocol.Protocol;
+using ModelContextProtocol.Server;
+
+namespace Microsoft.Agents.AI.Mcp.UnitTests;
+
+public class TaskAwareMcpClientAIFunctionTests
+{
+    [Fact]
+    public async Task InvokeAsync_RequiredTool_HappyPath_ReturnsResultAsync()
+    {
+        // Arrange
+        McpServerPrimitiveCollection<McpServerTool> tools = [
+            TestTools.Create("req", ToolTaskSupport.Required, () => "required-result"),
+        ];
+        await using InMemoryMcpServerFixture fixture = await InMemoryMcpServerFixture.CreateAsync(tools);
+        var result = await fixture.Client.ListAgentToolsWithTaskSupportAsync();
+        AIFunction req = result.Single(f => f.Name == "req");
+        req.Should().BeOfType<TaskAwareMcpClientAIFunction>();
+
+        // Act
+        object? invokeResult = await req.InvokeAsync(arguments: null, CancellationToken.None);
+
+        // Assert
+        JsonElement payload = invokeResult.Should().BeOfType<JsonElement>().Subject;
+        ExtractTextContent(payload).Should().Be("required-result");
+    }
+
+    [Fact]
+    public async Task InvokeAsync_PropagatesDefaultTimeToLiveAsync()
+    {
+        // Arrange — capture the request meta on the server so we can assert TTL flowed through.
+        TimeSpan? observedTtl = null;
+        McpServerTool tool = McpServerTool.Create(
+            (RequestContext<CallToolRequestParams> ctx) =>
+            {
+                observedTtl = ctx.Params?.Task?.TimeToLive;
+                return "ok";
+            },
+            new McpServerToolCreateOptions
+            {
+                Name = "ttl-tool",
+                Description = "Echoes the requested TTL.",
+                Execution = new ToolExecution { TaskSupport = ToolTaskSupport.Required },
+            });
+        McpServerPrimitiveCollection<McpServerTool> tools = [tool];
+
+        await using InMemoryMcpServerFixture fixture = await InMemoryMcpServerFixture.CreateAsync(tools);
+
+        TimeSpan requestedTtl = TimeSpan.FromMinutes(7);
+        var result = await fixture.Client.ListAgentToolsWithTaskSupportAsync(new McpTaskOptions { DefaultTimeToLive = requestedTtl });
+        AIFunction wrapped = result.Single();
+
+        // Act
+        _ = await wrapped.InvokeAsync(arguments: null, CancellationToken.None);
+
+        // Assert
+        observedTtl.Should().Be(requestedTtl);
+    }
+
+    [Fact]
+    public async Task InvokeAsync_RespectsCancellationAsync()
+    {
+        // Arrange — a tool that never completes until it's cancelled.
+        var serverCancelled = new TaskCompletionSource<bool>(TaskCreationOptions.RunContinuationsAsynchronously);
+        McpServerTool tool = McpServerTool.Create(
+            async (CancellationToken ct) =>
+            {
+                try
+                {
+                    await Task.Delay(Timeout.Infinite, ct);
+                }
+                catch (OperationCanceledException)
+                {
+                    serverCancelled.TrySetResult(true);
+                    throw;
+                }
+
+                return "should-not-complete";
+            },
+            new McpServerToolCreateOptions
+            {
+                Name = "blocking",
+                Description = "Blocks indefinitely until cancelled.",
+                Execution = new ToolExecution { TaskSupport = ToolTaskSupport.Required },
+            });
+        McpServerPrimitiveCollection<McpServerTool> tools = [tool];
+
+        await using InMemoryMcpServerFixture fixture = await InMemoryMcpServerFixture.CreateAsync(tools);
+        var result = await fixture.Client.ListAgentToolsWithTaskSupportAsync();
+        AIFunction wrapped = result.Single();
+
+        using CancellationTokenSource cts = new();
+
+        // Act — start the invocation, cancel after a brief delay.
+        Task<object?> invocation = wrapped.InvokeAsync(arguments: null, cts.Token).AsTask();
+        await Task.Delay(200);
+        cts.Cancel();
+
+        // Assert — wrapper observes cancellation and signals server-side cancellation.
+        Func<Task> awaitInvocation = async () => await invocation;
+        await awaitInvocation.Should().ThrowAsync<OperationCanceledException>();
+
+        // Server-side handler should have observed cancellation as a result of the wrapper's
+        // tasks/cancel call (best-effort wait — give the server-loop a few seconds).
+        Task observedTask = serverCancelled.Task;
+        Task completed = await Task.WhenAny(observedTask, Task.Delay(TimeSpan.FromSeconds(5)));
+        completed.Should().BeSameAs(observedTask, "the wrapper should have issued tasks/cancel");
+    }
+
+    [Fact]
+    public async Task InvokeAsync_FailedTask_ThrowsInvalidOperationAsync()
+    {
+        // Arrange — a tool whose handler throws, which the server surfaces as a Failed task.
+        McpServerTool tool = McpServerTool.Create(
+            (Func<string>)(() => throw new InvalidOperationException("simulated tool failure")),
+            new McpServerToolCreateOptions
+            {
+                Name = "boom",
+                Description = "Throws unconditionally.",
+                Execution = new ToolExecution { TaskSupport = ToolTaskSupport.Required },
+            });
+        McpServerPrimitiveCollection<McpServerTool> tools = [tool];
+
+        await using InMemoryMcpServerFixture fixture = await InMemoryMcpServerFixture.CreateAsync(tools);
+        var result = await fixture.Client.ListAgentToolsWithTaskSupportAsync();
+        AIFunction wrapped = result.Single();
+
+        // Act
+        Func<Task> act = async () => await wrapped.InvokeAsync(arguments: null, CancellationToken.None);
+
+        // Assert — Phase 1 surfaces non-Completed terminal states as InvalidOperationException
+        // carrying the server's StatusMessage. (See PollAndRetrieveResultAsync.)
+        await act.Should().ThrowAsync<Exception>().Where(ex =>
+            ex is InvalidOperationException
+            || ex.GetType().FullName == "ModelContextProtocol.McpException");
+    }
+
+    /// <summary>
+    /// Extracts the first text-content block from a serialized <c>CallToolResult</c>
+    /// (the JSON shape returned by the wrapper and by <c>McpClientTool.InvokeAsync</c>).
+    /// </summary>
+    private static string ExtractTextContent(JsonElement payload)
+    {
+        payload.ValueKind.Should().Be(JsonValueKind.Object);
+        JsonElement content = payload.GetProperty("content");
+        content.ValueKind.Should().Be(JsonValueKind.Array);
+        JsonElement firstBlock = content.EnumerateArray().First();
+        return firstBlock.GetProperty("text").GetString()!;
+    }
+}

dotnet/tests/Microsoft.Agents.AI.Mcp.UnitTests/TestTools.cs

@@ -0,0 +1,30 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using ModelContextProtocol.Protocol;
+using ModelContextProtocol.Server;
+
+namespace Microsoft.Agents.AI.Mcp.UnitTests;
+
+/// <summary>
+/// Helpers to create <see cref="McpServerTool"/> instances with a specific
+/// <see cref="ToolTaskSupport"/> level for in-memory fixtures.
+/// </summary>
+internal static class TestTools
+{
+    public static McpServerTool Create(string name, ToolTaskSupport? taskSupport, Delegate handler)
+    {
+        McpServerToolCreateOptions options = new()
+        {
+            Name = name,
+            Description = $"Test tool {name}.",
+        };
+
+        if (taskSupport is ToolTaskSupport ts)
+        {
+            options.Execution = new ToolExecution { TaskSupport = ts };
+        }
+
+        return McpServerTool.Create(handler, options);
+    }
+}

python/packages/core/agent_framework/_feature_stage.py

@@ -2,10 +2,14 @@
 
 from __future__ import annotations
 
+import abc
 import asyncio.coroutines
+import contextlib
 import functools
 import inspect
+import os
 import sys
+import typing
 import warnings
 from collections.abc import Callable
 from enum import Enum
@@ -75,6 +79,51 @@ class ExperimentalWarning(FeatureStageWarning):
     """Warning emitted when an experimental API is used."""
 
 
+# Sentinel attribute used to detect (and reuse) a formatter we've already
+# installed. This lets the install be idempotent across re-imports / reloads
+# and keeps a stable reference to the previous formatter for testing or
+# external restoration via ``warnings.formatwarning = original``.
+_FEATURE_STAGE_FORMATTER_MARKER = "__feature_stage_formatter__"
+
+
+def _install_feature_stage_formatter() -> None:
+    """Install a single-line formatter for FeatureStageWarning categories.
+
+    The stdlib default formatter emits two lines (header + source snippet)
+    which is noisy for our warnings — the offending class/function name is
+    already in the message, so a one-line ``file:lineno: Category: message``
+    is enough. Other warning categories are delegated to the previous
+    formatter so we never change behaviour for unrelated warnings.
+
+    The install is idempotent: if a formatter installed by this module is
+    already in place, we leave it alone so re-imports (and any third-party
+    formatter wrapped on top of ours) don't get wrapped multiple times.
+    """
+    current = warnings.formatwarning
+    if getattr(current, _FEATURE_STAGE_FORMATTER_MARKER, False):
+        return
+
+    def _formatwarning(
+        message: Warning | str,
+        category: type[Warning],
+        filename: str,
+        lineno: int,
+        line: str | None = None,
+    ) -> str:
+        if issubclass(category, FeatureStageWarning):
+            return f"{filename}:{lineno}: {category.__name__}: {message}\n"
+        return current(message, category, filename, lineno, line)
+
+    setattr(_formatwarning, _FEATURE_STAGE_FORMATTER_MARKER, True)
+    # Keep a reference to the wrapped formatter so callers (tests, embedders)
+    # can restore the previous behaviour if they need to.
+    _formatwarning.__wrapped__ = current  # type: ignore[attr-defined]
+    warnings.formatwarning = _formatwarning
+
+
+_install_feature_stage_formatter()
+
+
 def _normalize_feature_id(feature_id: str | Enum) -> str:
     return str(feature_id.value if isinstance(feature_id, Enum) else feature_id)
 
@@ -109,23 +158,91 @@ def _set_feature_stage_metadata(obj: Any, *, stage: FeatureStageName, feature_id
     setattr(obj, _FEATURE_ID_ATTR, feature_id)
 
 
+_INTERNAL_FRAME_FILE = os.path.normcase(__file__)
+# Module names whose frames we never want to surface as the caller. ``abc`` is
+# the big one (its ``__new__`` shows up as ``<frozen abc>:106`` for ABC-driven
+# subclass creation on modern CPython, so we cannot rely on filename matching).
+# ``functools``/``typing``/``contextlib`` are added because they often wrap our
+# decorators or appear in the metaclass call path.
+_INTERNAL_FRAME_MODULES: frozenset[str] = frozenset({
+    abc.__name__,
+    functools.__name__,
+    typing.__name__,
+    contextlib.__name__,
+})
+
+
+def _is_internal_frame(frame: Any) -> bool:
+    if os.path.normcase(frame.f_code.co_filename) == _INTERNAL_FRAME_FILE:
+        return True
+    module_name = frame.f_globals.get("__name__", "")
+    if module_name in _INTERNAL_FRAME_MODULES:
+        return True
+    # Submodules of the skipped stdlib packages (``typing.ext``, ``functools``
+    # wrappers under ``concurrent.futures._base``, etc.) are also wrappers we
+    # don't want to surface.
+    return any(module_name.startswith(prefix + ".") for prefix in _INTERNAL_FRAME_MODULES)
+
+
+def _resolve_user_frame() -> tuple[str, int, str] | None:
+    """Resolve the user frame that triggered an experimental warning.
+
+    Walk the stack and return ``(filename, lineno, module_name)`` for the first
+    frame outside this module and the wrapping/metaclass machinery.
+
+    Returns ``None`` if no such frame is found; callers fall back to plain
+    ``warnings.warn`` with a fixed stacklevel.
+    """
+    # Frame objects participate in reference cycles (``frame -> f_locals ->
+    # frame``) and can delay GC if held implicitly. Capture the user frame's
+    # data into plain values inside the try, and explicitly delete the frame
+    # references in finally so we never leak frames across this call. This
+    # follows CPython's own guidance for code that uses ``inspect.currentframe``.
+    frame = inspect.currentframe()
+    candidate: Any = None
+    try:
+        if frame is None:
+            return None
+        # Skip _resolve_user_frame itself + the warn helper that called it.
+        candidate = frame.f_back.f_back if frame.f_back and frame.f_back.f_back else None
+        while candidate is not None:
+            if not _is_internal_frame(candidate):
+                return (
+                    candidate.f_code.co_filename,
+                    candidate.f_lineno,
+                    candidate.f_globals.get("__name__", "<unknown>"),
+                )
+            candidate = candidate.f_back
+        return None
+    finally:
+        del frame, candidate
+
+
 def _warn_on_feature_use(
     *,
     stage: FeatureStageName,
     feature_id: str,
     object_name: str,
     category: type[Warning],
-    stacklevel: int,
 ) -> None:
     warning_key = (category, feature_id)
     if warning_key in _WARNED_FEATURES:
         return
 
-    warnings.warn(
+    message = _build_stage_warning_message(stage=stage, feature_id=feature_id, object_name=object_name)
-        _build_stage_warning_message(stage=stage, feature_id=feature_id, object_name=object_name),
+    user_frame = _resolve_user_frame()
-        category=category,
+    if user_frame is None:
-        stacklevel=stacklevel,
+        # Last-resort fallback: emit at the immediate caller of this helper.
-    )
+        warnings.warn(message, category=category, stacklevel=2)
+    else:
+        filename, lineno, module = user_frame
+        warnings.warn_explicit(
+            message,
+            category=category,
+            filename=filename,
+            lineno=lineno,
+            module=module,
+        )
     _WARNED_FEATURES.add(warning_key)
 
 
@@ -150,7 +267,6 @@ def _add_runtime_warning(
                     feature_id=feature_id,
                     object_name=object_name,
                     category=category,
-                    stacklevel=3,
                 )
             if original_new is not object.__new__:
                 return original_new(cls, *args, **kwargs)
@@ -171,7 +287,6 @@ def _add_runtime_warning(
                     feature_id=feature_id,
                     object_name=object_name,
                     category=category,
-                    stacklevel=3,
                 )
                 return original_init_subclass_func(*args, **kwargs)
 
@@ -185,7 +300,6 @@ def _add_runtime_warning(
                     feature_id=feature_id,
                     object_name=object_name,
                     category=category,
-                    stacklevel=3,
                 )
                 return original_init_subclass(*args, **kwargs)
 
@@ -200,7 +314,6 @@ def _add_runtime_warning(
             feature_id=feature_id,
             object_name=object_name,
             category=category,
-            stacklevel=3,
         )
         return obj(*args, **kwargs)
 

python/packages/core/tests/core/test_feature_stage.py

@@ -142,6 +142,39 @@ def test_experimental_class_warns_on_instantiation_and_not_on_definition() -> No
     assert ExperimentalClass.__feature_id__ == AlternateExperimentalFeature.EXPERIMENTAL_FEATURE.value
 
 
+def test_experimental_abc_subclass_warning_points_at_user_file() -> None:
+    """Subclassing an experimental ABC must report the warning at the user's
+    ``class Sub(...):`` line, not at internal abc.py / <frozen abc> frames.
+
+    Regression: previously the fixed ``stacklevel=3`` landed inside abc.py for
+    ABC-driven class creation, surfacing ``<frozen abc>:106`` to users.
+    """
+    from abc import ABC, abstractmethod
+
+    @experimental(feature_id=AlternateExperimentalFeature.EXPERIMENTAL_FEATURE)  # type: ignore[arg-type]
+    class ExperimentalABC(ABC):
+        @abstractmethod
+        def do(self) -> int: ...
+
+    with warnings.catch_warnings(record=True) as caught:
+        warnings.simplefilter("always")
+        subclass_line = inspect.currentframe().f_lineno + 1
+
+        class Concrete(ExperimentalABC):
+            def do(self) -> int:
+                return 1
+
+    assert len(caught) == 1
+    assert caught[0].filename == __file__
+    # __init_subclass__ fires at the end of the class body, so the lineno
+    # points somewhere inside the Concrete class definition rather than at
+    # the ``class Concrete`` header itself. The key behaviour we want to
+    # guarantee is that it is in the *user* file at all (not abc.py).
+    assert subclass_line <= caught[0].lineno <= subclass_line + 5
+    assert issubclass(caught[0].category, ExperimentalWarning)
+    assert Concrete().do() == 1
+
+
 def test_experimental_runtime_checkable_protocol_keeps_protocol_runtime_checks() -> None:
     with warnings.catch_warnings(record=True) as caught:
         warnings.simplefilter("always")

python/packages/declarative/agent_framework_declarative/_workflows/_declarative_builder.py

@@ -817,10 +817,14 @@ class DeclarativeWorkflowBuilder:
                 condition=lambda msg: isinstance(msg, LoopIterationResult) and msg.has_next,
             )
 
-            # Body exit -> Next (get all exits from body and wire to next_executor)
+            # Wire from the LAST body action so the loop only advances after the
-            body_exits = self._get_source_exits(body_entry)
+            # whole body completes. _get_branch_exit walks the chain, skips
-            for body_exit in body_exits:
+            # terminators (Break/Continue), and returns nested If/Switch
-                builder.add_edge(source=body_exit, target=next_executor)
+            # structures so _get_source_exits can flatten their branch exits.
+            body_exit = self._get_branch_exit(body_entry)
+            if body_exit is not None:
+                for source_exit in self._get_source_exits(body_exit):
+                    builder.add_edge(source=source_exit, target=next_executor)
 
             # Next -> body (when has_next=True, loop back)
             builder.add_edge(
@@ -1008,16 +1012,12 @@ class DeclarativeWorkflowBuilder:
         return entry.evaluator if is_structure else entry
 
     def _get_branch_exit(self, branch_entry: Any) -> Any | None:
-        """Get the exit executor of a branch.
+        """Get the exit point of a branch for downstream wiring.
 
-        For a linear sequence of actions, returns the last executor.
+        Returns the last executor (or its ``_exit_executor``) for a linear chain,
-        For nested structures, returns None (they have their own branch_exits).
+        the nested If/Switch structure itself when the chain ends in one (so
-
+        callers can flatten ``branch_exits`` via :meth:`_get_source_exits`), or
-        Args:
+        ``None`` when the branch is empty or ends in a terminator action.
-            branch_entry: The first executor of the branch
-
-        Returns:
-            The exit executor, or None if branch is empty or ends with a structure
         """
         if branch_entry is None:
             return None

python/packages/declarative/tests/test_graph_coverage.py

@@ -2224,6 +2224,101 @@ class TestBuilderControlFlowCreation:
 class TestBuilderEdgeWiring:
     """Tests for builder edge wiring methods."""
 
+    def test_foreach_advance_edge_wired_from_last_body_action(self):
+        """Advance edge must come from the last body action."""
+        from agent_framework_declarative._workflows import DeclarativeWorkflowBuilder
+
+        yaml_def = {
+            "name": "foreach_seq",
+            "actions": [
+                {"kind": "SetValue", "id": "set_items", "path": "Local.items", "value": ["A", "B"]},
+                {
+                    "kind": "Foreach",
+                    "id": "loop",
+                    "itemsSource": "=Local.items",
+                    "iteratorVariable": "Local.item",
+                    "actions": [
+                        {"kind": "SendActivity", "id": "step_1", "activity": {"text": "one"}},
+                        {"kind": "SendActivity", "id": "step_2", "activity": {"text": "two"}},
+                        {"kind": "SendActivity", "id": "step_3", "activity": {"text": "three"}},
+                    ],
+                },
+            ],
+        }
+
+        workflow = DeclarativeWorkflowBuilder(yaml_def).build()
+        edges = {(e.source_id, e.target_id) for group in workflow.edge_groups for e in group.edges}
+
+        assert ("step_3", "loop_next") in edges
+        assert ("step_1", "loop_next") not in edges
+        assert ("step_2", "loop_next") not in edges
+        assert ("step_1", "step_2") in edges
+        assert ("step_2", "step_3") in edges
+
+    def test_foreach_advance_edge_skipped_for_terminator_body(self):
+        """BreakLoop at end of body wires itself to loop_next; no duplicate edge."""
+        from agent_framework_declarative._workflows import DeclarativeWorkflowBuilder
+
+        yaml_def = {
+            "name": "foreach_terminator",
+            "actions": [
+                {"kind": "SetValue", "id": "set_items", "path": "Local.items", "value": ["A"]},
+                {
+                    "kind": "Foreach",
+                    "id": "loop",
+                    "itemsSource": "=Local.items",
+                    "iteratorVariable": "Local.item",
+                    "actions": [
+                        {"kind": "SendActivity", "id": "step_1", "activity": {"text": "one"}},
+                        {"kind": "BreakLoop", "id": "stop"},
+                    ],
+                },
+            ],
+        }
+
+        workflow = DeclarativeWorkflowBuilder(yaml_def).build()
+        all_edges = [(e.source_id, e.target_id) for group in workflow.edge_groups for e in group.edges]
+        assert all_edges.count(("stop", "loop_next")) == 1
+        assert ("step_1", "loop_next") not in all_edges
+
+    def test_foreach_advance_edge_with_if_as_last_body_action(self):
+        """Trailing If in a Foreach body wires every branch exit to loop_next."""
+        from agent_framework_declarative._workflows import DeclarativeWorkflowBuilder
+
+        yaml_def = {
+            "name": "foreach_if_last",
+            "actions": [
+                {"kind": "SetValue", "id": "set_items", "path": "Local.items", "value": ["A", "B"]},
+                {
+                    "kind": "Foreach",
+                    "id": "loop",
+                    "itemsSource": "=Local.items",
+                    "iteratorVariable": "Local.item",
+                    "actions": [
+                        {"kind": "SendActivity", "id": "step_1", "activity": {"text": "one"}},
+                        {
+                            "kind": "If",
+                            "id": "check",
+                            "condition": '=Local.item = "A"',
+                            "then": [
+                                {"kind": "SendActivity", "id": "then_action", "activity": {"text": "then"}},
+                            ],
+                            "else": [
+                                {"kind": "SendActivity", "id": "else_action", "activity": {"text": "else"}},
+                            ],
+                        },
+                    ],
+                },
+            ],
+        }
+
+        workflow = DeclarativeWorkflowBuilder(yaml_def).build()
+        edges = {(e.source_id, e.target_id) for group in workflow.edge_groups for e in group.edges}
+
+        assert ("then_action", "loop_next") in edges
+        assert ("else_action", "loop_next") in edges
+        assert ("step_1", "loop_next") not in edges
+
     def test_wire_to_target_with_if_structure(self):
         """Test wiring to an If structure routes to evaluator."""
         from agent_framework import WorkflowBuilder

python/packages/declarative/tests/test_graph_workflow_integration.py

@@ -121,6 +121,35 @@ class TestGraphBasedWorkflowExecution:
         assert "b" in outputs
         assert "c" in outputs
 
+    @pytest.mark.asyncio
+    async def test_foreach_multi_action_body_runs_sequentially(self):
+        """Body actions must complete per item before advancing."""
+        yaml_def = {
+            "name": "loop_sequential_body",
+            "actions": [
+                {"kind": "SetValue", "id": "set_items", "path": "Local.items", "value": ["A", "B"]},
+                {
+                    "kind": "Foreach",
+                    "id": "loop",
+                    "itemsSource": "=Local.items",
+                    "iteratorVariable": "Local.item",
+                    "actions": [
+                        {"kind": "SendActivity", "id": "step_1", "activity": {"text": '="1-" & Local.item'}},
+                        {"kind": "SendActivity", "id": "step_2", "activity": {"text": '="2-" & Local.item'}},
+                        {"kind": "SendActivity", "id": "step_3", "activity": {"text": '="3-" & Local.item'}},
+                    ],
+                },
+            ],
+        }
+
+        builder = DeclarativeWorkflowBuilder(yaml_def)
+        workflow = builder.build()
+
+        events = await workflow.run(ActionTrigger())
+        outputs = events.get_outputs()
+
+        assert outputs == ["1-A", "2-A", "3-A", "1-B", "2-B", "3-B"]
+
     @pytest.mark.asyncio
     async def test_workflow_with_switch(self):
         """Test workflow with Switch/ConditionGroup."""

python/packages/foundry/tests/foundry/test_foundry_chat_client.py

@@ -900,7 +900,7 @@ async def test_integration_web_search() -> None:
         "messages": [
             Message(
                 role="user",
-                contents=["Who are the main characters of Kpop Demon Hunters? Do a web search to find the answer."],
+                contents=["Where is Microsoft's headquarters? Do a web search to find the answer."],
             )
         ],
         "options": {"tool_choice": "auto", "tools": [web_search_tool]},
@@ -908,9 +908,7 @@ async def test_integration_web_search() -> None:
     response = await client.get_response(stream=True, **content).get_final_response()
 
     assert isinstance(response, ChatResponse)
-    assert "Rumi" in response.text
+    assert "redmond" in response.text.lower()
-    assert "Mira" in response.text
-    assert "Zoey" in response.text
 
 
 @pytest.mark.flaky

python/packages/foundry_hosting/agent_framework_foundry_hosting/_responses.py

@@ -9,8 +9,9 @@ import logging
 import os
 import tempfile
 import threading
-from collections.abc import AsyncIterable, AsyncIterator, Generator, Mapping, Sequence
+from collections.abc import AsyncIterable, AsyncIterator, Generator, Sequence
 from contextlib import suppress
+from dataclasses import asdict, is_dataclass
 from pathlib import Path
 from contextlib import AbstractAsyncContextManager, AsyncExitStack, suppress
 from typing import Protocol, cast
@@ -1505,11 +1506,20 @@ def _convert_message_content(content: MessageContent) -> Content:
 # region Output Item Conversion
 
 
-def _arguments_to_str(arguments: str | Mapping[str, Any] | None) -> str:
+def _argument_json_default(value: Any) -> Any:
+    if is_dataclass(value) and not isinstance(value, type):
+        return asdict(value)
+    to_dict = getattr(value, "to_dict", None)
+    if callable(to_dict):
+        return to_dict()
+    raise TypeError(f"Object of type {type(value).__name__} is not JSON serializable")
+
+
+def _arguments_to_str(arguments: Any | None) -> str:
     """Convert arguments to a JSON string.
 
     Args:
-        arguments: The arguments to convert, can be a string, mapping, or None.
+        arguments: The arguments to convert, can be a string, JSON-like object, or None.
 
     Returns:
         The arguments as a JSON string.
@@ -1518,7 +1528,7 @@ def _arguments_to_str(arguments: str | Mapping[str, Any] | None) -> str:
         return ""
     if isinstance(arguments, str):
         return arguments
-    return json.dumps(arguments)
+    return json.dumps(arguments, default=_argument_json_default)
 
 
 async def _to_outputs(

python/packages/foundry_hosting/tests/test_responses.py

@@ -12,6 +12,7 @@ from __future__ import annotations
 
 import json
 from collections.abc import AsyncIterator, Callable
+from dataclasses import dataclass
 from unittest.mock import AsyncMock, MagicMock
 
 import httpx
@@ -405,6 +406,36 @@ class TestStreaming:
         assert len(args_done) == 1
         assert args_done[0]["data"]["arguments"] == '{"q": "hello"}'
 
+    async def test_function_call_streaming_serializes_dataclass_arguments(self) -> None:
+        @dataclass
+        class HandoffLikeRequest:
+            agent_response: AgentResponse
+
+        request = HandoffLikeRequest(
+            agent_response=AgentResponse(
+                messages=[Message(role="assistant", contents=[Content.from_text("Need more details")])]
+            )
+        )
+        agent = _make_agent(
+            stream_updates=[
+                AgentResponseUpdate(
+                    contents=[Content.from_function_call("call_1", "handoff_to_refund", arguments=request)],
+                    role="assistant",
+                ),
+            ]
+        )
+        server = _make_server(agent)
+        resp = await _post(server, stream=True)
+
+        assert resp.status_code == 200
+        events = _parse_sse_events(resp.text)
+        args_done = [e for e in events if e["event"] == "response.function_call_arguments.done"]
+        assert len(args_done) == 1
+
+        payload = json.loads(args_done[0]["data"]["arguments"])
+        assert payload["agent_response"]["type"] == "agent_response"
+        assert payload["agent_response"]["messages"][0]["contents"][0]["text"] == "Need more details"
+
     async def test_alternating_text_and_function_call(self) -> None:
         agent = _make_agent(
             stream_updates=[

python/samples/03-workflows/orchestrations/sequential_agents.py

@@ -4,7 +4,7 @@ import asyncio
 import os
 from typing import cast
 
-from agent_framework import Agent, Message
+from agent_framework import Agent, AgentResponse, Message
 from agent_framework.foundry import FoundryChatClient
 from agent_framework.orchestrations import SequentialBuilder
 from azure.identity import AzureCliCredential
@@ -17,9 +17,9 @@ load_dotenv()
 Sample: Sequential workflow (agent-focused API) with shared conversation context
 
 Build a high-level sequential workflow using SequentialBuilder and two domain agents.
-The shared conversation (list[Message]) flows through each participant. Each agent
+The shared conversation flows through each participant. Each agent appends its
-appends its assistant message to the context. The workflow outputs the final conversation
+assistant message to the context. The sample prints the original user message plus
-list when complete.
+the visible outputs from both agents.
 
 Note on internal adapters:
 - Sequential orchestration includes small adapter nodes for input normalization
@@ -56,17 +56,19 @@ async def main() -> None:
     )
 
     # 2) Build sequential workflow: writer -> reviewer
-    workflow = SequentialBuilder(participants=[writer, reviewer]).build()
+    workflow = SequentialBuilder(participants=[writer, reviewer], output_from="all").build()
 
     # 3) Run and collect outputs
-    outputs: list[list[Message]] = []
+    prompt = "Write a tagline for a budget-friendly eBike."
-    async for event in workflow.run("Write a tagline for a budget-friendly eBike.", stream=True):
+    result = await workflow.run(prompt)
-        if event.type == "output":
+    conversation = [Message(role="user", contents=[prompt])]
-            outputs.append(cast(list[Message], event.data))
+    for output in result.get_outputs():
+        response = cast(AgentResponse, output)
+        conversation.extend(response.messages)
 
-    if outputs:
+    if conversation:
         print("===== Final Conversation =====")
-        for i, msg in enumerate(outputs[-1], start=1):
+        for i, msg in enumerate(conversation, start=1):
             name = msg.author_name or ("assistant" if msg.role == "assistant" else "user")
             print(f"{'-' * 60}\n{i:02d} [{name}]\n{msg.text}")