.NET: [Feature Branch] Add basic durable workflow support (#3648)

* Add basic durable workflow support. * PR feedback fixes * Add conditional edge sample. * PR feedback fixes. * Minor cleanup. * Minor cleanup * Minor formatting improvements. * Improve comments/documentation on the execution flow.
2026-06-16 21:04:09 +08:00 · 2026-02-06 16:02:42 -08:00
parent 98cd72839e
commit e8d0bd9051
54 changed files with 4863 additions and 505 deletions
@@ -0,0 +1,29 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>SequentialWorkflow</AssemblyName>
+    <RootNamespace>SequentialWorkflow</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
+    <PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.DurableTask" />
+    <PackageReference Include="Microsoft.Agents.AI.Workflows" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>
@@ -0,0 +1,116 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SequentialWorkflow;
+
+/// <summary>
+/// Represents a request to cancel an order.
+/// </summary>
+/// <param name="OrderId">The ID of the order to cancel.</param>
+/// <param name="Reason">The reason for cancellation.</param>
+internal sealed record OrderCancelRequest(string OrderId, string Reason);
+
+/// <summary>
+/// Looks up an order by its ID and return an Order object.
+/// </summary>
+internal sealed class OrderLookup() : Executor<OrderCancelRequest, Order>("OrderLookup")
+{
+    public override async ValueTask<Order> HandleAsync(
+        OrderCancelRequest message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine($"│ [Activity] OrderLookup: Starting lookup for order '{message.OrderId}'");
+        Console.WriteLine($"│ [Activity] OrderLookup: Cancellation reason: '{message.Reason}'");
+        Console.ResetColor();
+
+        // Simulate database lookup with delay
+        await Task.Delay(TimeSpan.FromMicroseconds(100), cancellationToken);
+
+        Order order = new(
+            Id: message.OrderId,
+            OrderDate: DateTime.UtcNow.AddDays(-1),
+            IsCancelled: false,
+            CancelReason: message.Reason,
+            Customer: new Customer(Name: "Jerry", Email: "jerry@example.com"));
+
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine($"│ [Activity] OrderLookup: Found order '{message.OrderId}' for customer '{order.Customer.Name}'");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return order;
+    }
+}
+
+/// <summary>
+/// Cancels an order.
+/// </summary>
+internal sealed class OrderCancel() : Executor<Order, Order>("OrderCancel")
+{
+    public override async ValueTask<Order> HandleAsync(
+        Order message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        // Log that this activity is executing (not replaying)
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine($"│ [Activity] OrderCancel: Starting cancellation for order '{message.Id}'");
+        Console.ResetColor();
+
+        // Simulate a slow cancellation process (e.g., calling external payment system)
+        for (int i = 1; i <= 3; i++)
+        {
+            await Task.Delay(TimeSpan.FromMilliseconds(100), cancellationToken);
+            Console.ForegroundColor = ConsoleColor.DarkYellow;
+            Console.WriteLine("│ [Activity] OrderCancel: Processing...");
+            Console.ResetColor();
+        }
+
+        Order cancelledOrder = message with { IsCancelled = true };
+
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"│ [Activity] OrderCancel: ✓ Order '{cancelledOrder.Id}' has been cancelled");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return cancelledOrder;
+    }
+}
+
+/// <summary>
+/// Sends a cancellation confirmation email to the customer.
+/// </summary>
+internal sealed class SendEmail() : Executor<Order, string>("SendEmail")
+{
+    public override ValueTask<string> HandleAsync(
+        Order message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Cyan;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine($"│ [Activity] SendEmail: Sending email to '{message.Customer.Email}'...");
+        Console.ResetColor();
+
+        string result = $"Cancellation email sent for order {message.Id} to {message.Customer.Email}.";
+
+        Console.ForegroundColor = ConsoleColor.Cyan;
+        Console.WriteLine("│ [Activity] SendEmail: ✓ Email sent successfully!");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return ValueTask.FromResult(result);
+    }
+}
+
+internal sealed record Order(string Id, DateTime OrderDate, bool IsCancelled, string? CancelReason, Customer Customer);
+
+internal sealed record Customer(string Name, string Email);
@@ -0,0 +1,93 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Agents.AI.DurableTask.Workflows;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using SequentialWorkflow;
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Define executors for the workflow
+OrderLookup orderLookup = new();
+OrderCancel orderCancel = new();
+SendEmail sendEmail = new();
+
+// Build the CancelOrder workflow: OrderLookup -> OrderCancel -> SendEmail
+Workflow cancelOrder = new WorkflowBuilder(orderLookup)
+    .WithName("CancelOrder")
+    .WithDescription("Cancel an order and notify the customer")
+    .AddEdge(orderLookup, orderCancel)
+    .AddEdge(orderCancel, sendEmail)
+    .Build();
+
+IHost host = Host.CreateDefaultBuilder(args)
+.ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+.ConfigureServices(services =>
+{
+    services.ConfigureDurableWorkflows(
+        workflowOptions => workflowOptions.AddWorkflow(cancelOrder),
+        workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+        clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+})
+.Build();
+
+await host.StartAsync();
+
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+Console.WriteLine("Durable Workflow Sample");
+Console.WriteLine("Workflow: OrderLookup -> OrderCancel -> SendEmail");
+Console.WriteLine();
+Console.WriteLine("Enter an order ID (or 'exit'):");
+
+while (true)
+{
+    Console.Write("> ");
+    string? input = Console.ReadLine();
+    if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
+    {
+        break;
+    }
+
+    try
+    {
+        OrderCancelRequest request = new(OrderId: input, Reason: "Customer requested cancellation");
+        await StartNewWorkflowAsync(request, cancelOrder, workflowClient);
+    }
+    catch (Exception ex)
+    {
+        Console.WriteLine($"Error: {ex.Message}");
+    }
+
+    Console.WriteLine();
+}
+
+await host.StopAsync();
+
+// Start a new workflow using IWorkflowClient with typed input
+static async Task StartNewWorkflowAsync(OrderCancelRequest request, Workflow workflow, IWorkflowClient client)
+{
+    Console.WriteLine($"Starting workflow for order '{request.OrderId}' (Reason: {request.Reason})...");
+
+    // RunAsync returns IWorkflowRun, cast to IAwaitableWorkflowRun for completion waiting
+    IAwaitableWorkflowRun run = (IAwaitableWorkflowRun)await client.RunAsync(workflow, request);
+    Console.WriteLine($"Run ID: {run.RunId}");
+
+    try
+    {
+        Console.WriteLine("Waiting for workflow to complete...");
+        string? result = await run.WaitForCompletionAsync<string>();
+        Console.WriteLine($"Workflow completed. {result}");
+    }
+    catch (InvalidOperationException ex)
+    {
+        Console.WriteLine($"Failed: {ex.Message}");
+    }
+}
@@ -0,0 +1,83 @@
+# Sequential Workflow Sample
+
+This sample demonstrates how to run a sequential workflow as a durable orchestration from a console application using the Durable Task Framework. It showcases the **durability** aspect - if the process crashes mid-execution, the workflow automatically resumes without re-executing completed activities.
+
+## Key Concepts Demonstrated
+
+- Building a sequential workflow with the `WorkflowBuilder` API
+- Using `ConfigureDurableWorkflows` to register workflows with dependency injection
+- Running workflows with `IWorkflowClient`
+- **Durability**: Automatic resume of interrupted workflows
+- **Activity caching**: Completed activities are not re-executed on replay
+
+## Overview
+
+The sample implements an order cancellation workflow with three executors:
+
+```
+OrderLookup --> OrderCancel --> SendEmail
+```
+
+| Executor | Description |
+|----------|-------------|
+| OrderLookup | Looks up an order by ID |
+| OrderCancel | Marks the order as cancelled |
+| SendEmail | Sends a cancellation confirmation email |
+
+## Durability Demonstration
+
+The key feature of Durable Task Framework is **durability**:
+
+- **Activity results are persisted**: When an activity completes, its result is saved
+- **Orchestrations replay**: On restart, the orchestration replays from the beginning
+- **Completed activities skip execution**: The framework uses cached results
+- **Automatic resume**: The worker automatically picks up pending work on startup
+
+### Try It Yourself
+
+> **Tip:** To give yourself more time to stop the application during `OrderCancel`, consider increasing the loop iteration count or `Task.Delay` duration in the `OrderCancel` executor in `OrderCancelExecutors.cs`.
+
+1. Start the application and enter an order ID (e.g., `12345`)
+2. Wait for `OrderLookup` to complete, then stop the app (Ctrl+C) during `OrderCancel`
+3. Restart the application
+4. Observe:
+   - `OrderLookup` is **NOT** re-executed (result was cached)
+   - `OrderCancel` **restarts** (it didn't complete before the interruption)
+   - `SendEmail` runs after `OrderCancel` completes
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for information on configuring the environment, including how to install and run the Durable Task Scheduler.
+
+## Running the Sample
+
+```bash
+cd dotnet/samples/Durable/Workflow/ConsoleApps/01_SequentialWorkflow
+dotnet run --framework net10.0
+```
+
+### Sample Output
+
+```text
+Durable Workflow Sample
+Workflow: OrderLookup -> OrderCancel -> SendEmail
+
+Enter an order ID (or 'exit'):
+> 12345
+Starting workflow for order: 12345
+Run ID: abc123...
+
+[OrderLookup] Looking up order '12345'...
+[OrderLookup] Found order for customer 'Jerry'
+
+[OrderCancel] Cancelling order '12345'...
+[OrderCancel] Order cancelled successfully
+
+[SendEmail] Sending email to 'jerry@example.com'...
+[SendEmail] Email sent successfully
+
+Workflow completed!
+
+> exit
+```
+
@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>WorkflowConcurrency</AssemblyName>
+    <RootNamespace>WorkflowConcurrency</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
+    <PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+    <PackageReference Include="Azure.AI.OpenAI" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.DurableTask" />
+    <PackageReference Include="Microsoft.Agents.AI.Workflows" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>
@@ -0,0 +1,73 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace WorkflowConcurrency;
+
+/// <summary>
+/// Parses and validates the incoming question before sending to AI agents.
+/// </summary>
+internal sealed class ParseQuestionExecutor() : Executor<string, string>("ParseQuestion")
+{
+    public override ValueTask<string> HandleAsync(
+        string message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine("│ [ParseQuestion] Preparing question for AI agents...");
+
+        string formattedQuestion = message.Trim();
+        if (!formattedQuestion.EndsWith('?'))
+        {
+            formattedQuestion += "?";
+        }
+
+        Console.WriteLine($"│ [ParseQuestion] Question: \"{formattedQuestion}\"");
+        Console.WriteLine("│ [ParseQuestion] → Sending to Physicist and Chemist in PARALLEL...");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return ValueTask.FromResult(formattedQuestion);
+    }
+}
+
+/// <summary>
+/// Aggregates responses from all AI agents into a comprehensive answer.
+/// This is the Fan-in point where parallel results are collected.
+/// </summary>
+internal sealed class AggregatorExecutor() : Executor<string[], string>("Aggregator")
+{
+    public override ValueTask<string> HandleAsync(
+        string[] message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Cyan;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine($"│ [Aggregator] 📋 Received {message.Length} AI agent responses");
+        Console.WriteLine("│ [Aggregator] Combining into comprehensive answer...");
+        Console.WriteLine("│ [Aggregator] ✓ Aggregation complete!");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        string aggregatedResult = "═══════════════════════════════════════════════════════════════\n" +
+                                 "                    AI EXPERT PANEL RESPONSES\n" +
+                                 "═══════════════════════════════════════════════════════════════\n\n";
+
+        for (int i = 0; i < message.Length; i++)
+        {
+            string expertLabel = i == 0 ? "⚛️ PHYSICIST" : "🧪 CHEMIST";
+            aggregatedResult += $"{expertLabel}:\n{message[i]}\n\n";
+        }
+
+        aggregatedResult += "═══════════════════════════════════════════════════════════════\n" +
+                          $"Summary: Received perspectives from {message.Length} AI experts.\n" +
+                          "═══════════════════════════════════════════════════════════════";
+
+        return ValueTask.FromResult(aggregatedResult);
+    }
+}
@@ -0,0 +1,114 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates the Fan-out/Fan-in pattern in a durable workflow.
+// The workflow uses 4 executors: 2 class-based executors and 2 AI agents.
+//
+// WORKFLOW PATTERN:
+//
+//                  ParseQuestion (class-based)
+//                         |
+//              +----------+----------+
+//              |                     |
+//          Physicist              Chemist
+//          (AI Agent)            (AI Agent)
+//              |                     |
+//              +----------+----------+
+//                         |
+//                    Aggregator (class-based)
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Agents.AI.DurableTask.Workflows;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+using WorkflowConcurrency;
+
+// Configuration
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+
+// Create Azure OpenAI client
+AzureOpenAIClient openAiClient = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+ChatClient chatClient = openAiClient.GetChatClient(deploymentName);
+
+// Define the 4 executors for the workflow
+ParseQuestionExecutor parseQuestion = new();
+AIAgent physicist = chatClient.AsAIAgent("You are a physics expert. Be concise (2-3 sentences).", "Physicist");
+AIAgent chemist = chatClient.AsAIAgent("You are a chemistry expert. Be concise (2-3 sentences).", "Chemist");
+AggregatorExecutor aggregator = new();
+
+// Build workflow: ParseQuestion -> [Physicist, Chemist] (parallel) -> Aggregator
+Workflow workflow = new WorkflowBuilder(parseQuestion)
+    .WithName("ExpertReview")
+    .AddFanOutEdge(parseQuestion, [physicist, chemist])
+    .AddFanInEdge([physicist, chemist], aggregator)
+    .Build();
+
+// Configure and start the host
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableOptions(
+            options => options.Workflows.AddWorkflow(workflow),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+Console.WriteLine("Fan-out/Fan-in Workflow Sample");
+Console.WriteLine("ParseQuestion -> [Physicist, Chemist] -> Aggregator");
+Console.WriteLine();
+Console.WriteLine("Enter a science question (or 'exit' to quit):");
+
+while (true)
+{
+    Console.Write("> ");
+    string? input = Console.ReadLine();
+
+    if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
+    {
+        break;
+    }
+
+    try
+    {
+        IWorkflowRun run = await workflowClient.RunAsync(workflow, input);
+        Console.WriteLine($"Run ID: {run.RunId}");
+
+        if (run is IAwaitableWorkflowRun awaitableRun)
+        {
+            string? result = await awaitableRun.WaitForCompletionAsync<string>();
+
+            Console.WriteLine("Workflow completed!");
+            Console.WriteLine(result);
+        }
+    }
+    catch (Exception ex)
+    {
+        Console.WriteLine($"Error: {ex.Message}");
+    }
+
+    Console.WriteLine();
+}
+
+await host.StopAsync();
@@ -0,0 +1,100 @@
+# Concurrent Workflow Sample (Fan-Out/Fan-In)
+
+This sample demonstrates the **fan-out/fan-in** pattern in a durable workflow, combining class-based executors with AI agents running in parallel.
+
+## Key Concepts Demonstrated
+
+- **Fan-out/Fan-in pattern**: Parallel execution with result aggregation
+- **Mixed executor types**: Class-based executors and AI agents in the same workflow
+- **AI agents as executors**: Using `ChatClient.AsAIAgent()` to create workflow-compatible agents
+- **Workflow registration**: Auto-registration of agents used within workflows
+- **Standalone agents**: Registering agents outside of workflows
+
+## Overview
+
+The sample implements an expert review workflow with four executors:
+
+```
+                    ParseQuestion
+                         |
+              +----------+----------+
+              |                     |
+          Physicist              Chemist
+          (AI Agent)            (AI Agent)
+              |                     |
+              +----------+----------+
+                         |
+                    Aggregator
+```
+
+| Executor | Type | Description |
+|----------|------|-------------|
+| ParseQuestion | Class-based | Parses the user's question for expert review |
+| Physicist | AI Agent | Provides physics perspective (runs in parallel) |
+| Chemist | AI Agent | Provides chemistry perspective (runs in parallel) |
+| Aggregator | Class-based | Combines expert responses into a final answer |
+
+## Fan-Out/Fan-In Pattern
+
+The workflow demonstrates the fan-out/fan-in pattern:
+
+1. **Fan-out**: `ParseQuestion` sends the question to both `Physicist` and `Chemist` simultaneously
+2. **Parallel execution**: Both AI agents process the question concurrently
+3. **Fan-in**: `Aggregator` waits for both agents to complete, then combines their responses
+
+This pattern is useful for:
+- Gathering multiple perspectives on a problem
+- Parallel processing of independent tasks
+- Reducing overall execution time through concurrency
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for information on configuring the environment.
+
+### Required Environment Variables
+
+```bash
+# Durable Task Scheduler (optional, defaults to localhost)
+DURABLE_TASK_SCHEDULER_CONNECTION_STRING="Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"
+
+# Azure OpenAI (required)
+AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
+AZURE_OPENAI_DEPLOYMENT="gpt-4o"
+AZURE_OPENAI_KEY="your-key"  # Optional if using Azure CLI credentials
+```
+
+## Running the Sample
+
+```bash
+cd dotnet/samples/Durable/Workflow/ConsoleApps/02_ConcurrentWorkflow
+dotnet run --framework net10.0
+```
+
+### Sample Output
+
+```text
+-----------------------------------------------------------------------+
+|  Fan-out/Fan-in Workflow Sample (4 Executors)                         |
+|                                                                       |
+|  ParseQuestion -> [Physicist, Chemist] -> Aggregator                  |
+|  (class-based)    (AI agents, parallel)  (class-based)                |
+-----------------------------------------------------------------------+
+
+Enter a science question (or 'exit' to quit):
+
+Question: Why is the sky blue?
+Instance: abc123...
+
+[ParseQuestion] Parsing question for expert review...
+[Physicist] Analyzing from physics perspective...
+[Chemist] Analyzing from chemistry perspective...
+[Aggregator] Combining expert responses...
+
+Workflow completed!
+
+Physics perspective: The sky appears blue due to Rayleigh scattering...
+Chemistry perspective: The molecular composition of our atmosphere...
+Combined answer: ...
+
+Question: exit
+```
@@ -0,0 +1,29 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>ConditionalEdges</AssemblyName>
+    <RootNamespace>ConditionalEdges</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
+    <PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.DurableTask" />
+    <PackageReference Include="Microsoft.Agents.AI.Workflows" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>
@@ -0,0 +1,85 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace ConditionalEdges;
+
+internal sealed class Order
+{
+    public Order(string id, decimal amount)
+    {
+        this.Id = id;
+        this.Amount = amount;
+    }
+    public string Id { get; }
+    public decimal Amount { get; }
+    public Customer? Customer { get; set; }
+    public string? PaymentReferenceNumber { get; set; }
+}
+
+public sealed record Customer(int Id, string Name, bool IsBlocked);
+
+internal sealed class OrderIdParser() : Executor<string, Order>("OrderIdParser")
+{
+    public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        return GetOrder(message);
+    }
+
+    private static Order GetOrder(string id)
+    {
+        // Simulate fetching order details
+        return new Order(id, 100.0m);
+    }
+}
+
+internal sealed class OrderEnrich() : Executor<Order, Order>("EnrichOrder")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        message.Customer = GetCustomerForOrder(message.Id);
+        return message;
+    }
+
+    private static Customer GetCustomerForOrder(string orderId)
+    {
+        if (orderId.Contains('B'))
+        {
+            return new Customer(101, "George", true);
+        }
+
+        return new Customer(201, "Jerry", false);
+    }
+}
+
+internal sealed class PaymentProcesser() : Executor<Order, Order>("PaymentProcesser")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Call payment gateway.
+        message.PaymentReferenceNumber = Guid.NewGuid().ToString().Substring(0, 4);
+        return message;
+    }
+}
+
+internal sealed class NotifyFraud() : Executor<Order, string>("NotifyFraud")
+{
+    public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Notify fraud team.
+        return $"Order {message.Id} flagged as fraudulent for customer {message.Customer?.Name}.";
+    }
+}
+
+internal static class OrderRouteConditions
+{
+    /// <summary>
+    /// Returns a condition that evaluates to true when the customer is blocked.
+    /// </summary>
+    internal static Func<Order?, bool> WhenBlocked() => order => order?.Customer?.IsBlocked == true;
+
+    /// <summary>
+    /// Returns a condition that evaluates to true when the customer is not blocked.
+    /// </summary>
+    internal static Func<Order?, bool> WhenNotBlocked() => order => order?.Customer?.IsBlocked == false;
+}
@@ -0,0 +1,97 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates conditional edges in a workflow.
+// Orders are routed to different executors based on customer status:
+// - Blocked customers → NotifyFraud
+// - Valid customers → PaymentProcessor
+
+using ConditionalEdges;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Agents.AI.DurableTask.Workflows;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Create executor instances
+OrderIdParser orderParser = new();
+OrderEnrich orderEnrich = new();
+PaymentProcesser paymentProcessor = new();
+NotifyFraud notifyFraud = new();
+
+// Build workflow with conditional edges
+// The condition functions evaluate the Order output from OrderEnrich
+WorkflowBuilder builder = new(orderParser);
+builder
+    .AddEdge(orderParser, orderEnrich)
+    .AddEdge(orderEnrich, notifyFraud, condition: OrderRouteConditions.WhenBlocked())
+    .AddEdge(orderEnrich, paymentProcessor, condition: OrderRouteConditions.WhenNotBlocked());
+
+Workflow auditOrder = builder.WithName("AuditOrder").Build();
+
+IHost host = Host.CreateDefaultBuilder(args)
+.ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+.ConfigureServices(services =>
+{
+    services.ConfigureDurableWorkflows(
+        workflowOptions => workflowOptions.AddWorkflow(auditOrder),
+        workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+        clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+})
+.Build();
+
+await host.StartAsync();
+
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+Console.WriteLine("Enter an order ID (or 'exit'):");
+Console.WriteLine("Tip: Order IDs containing 'B' are flagged as blocked customers.\n");
+
+while (true)
+{
+    Console.Write("> ");
+    string? input = Console.ReadLine();
+    if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
+    {
+        break;
+    }
+
+    try
+    {
+        await StartNewWorkflowAsync(input, auditOrder, workflowClient);
+    }
+    catch (Exception ex)
+    {
+        Console.WriteLine($"Error: {ex.Message}");
+    }
+
+    Console.WriteLine();
+}
+
+await host.StopAsync();
+
+// Start a new workflow and wait for completion
+static async Task StartNewWorkflowAsync(string orderId, Workflow workflow, IWorkflowClient client)
+{
+    Console.WriteLine($"Starting workflow for order '{orderId}'...");
+
+    // Cast to IAwaitableWorkflowRun to access WaitForCompletionAsync
+    IAwaitableWorkflowRun run = (IAwaitableWorkflowRun)await client.RunAsync(workflow, orderId);
+    Console.WriteLine($"Run ID: {run.RunId}");
+
+    try
+    {
+        Console.WriteLine("Waiting for workflow to complete...");
+        string? result = await run.WaitForCompletionAsync<string>();
+        Console.WriteLine($"Workflow completed. {result}");
+    }
+    catch (InvalidOperationException ex)
+    {
+        Console.WriteLine($"Failed: {ex.Message}");
+    }
+}
@@ -0,0 +1,92 @@
+# Conditional Edges Workflow Sample
+
+This sample demonstrates how to build a workflow with **conditional edges** that route execution to different paths based on runtime conditions. The workflow evaluates conditions on the output of an executor to determine which downstream executor to run.
+
+## Key Concepts Demonstrated
+
+- Building workflows with **conditional edges** using `AddEdge` with a `condition` parameter
+- Defining reusable condition functions for routing logic
+- Branching workflow execution based on data-driven decisions
+- Using `ConfigureDurableWorkflows` to register workflows with dependency injection
+
+## Overview
+
+The sample implements an order audit workflow that routes orders differently based on whether the customer is blocked (flagged for fraud):
+
+```
+OrderIdParser --> OrderEnrich --[IsBlocked]--> NotifyFraud
+                              |
+                              +--[NotBlocked]--> PaymentProcessor
+```
+
+| Executor | Description |
+|----------|-------------|
+| OrderIdParser | Parses the order ID and retrieves order details |
+| OrderEnrich | Enriches the order with customer information |
+| PaymentProcessor | Processes payment for valid orders |
+| NotifyFraud | Notifies the fraud team for blocked customers |
+
+## How Conditional Edges Work
+
+Conditional edges allow you to specify a condition function that determines whether the edge should be traversed:
+
+```csharp
+builder
+    .AddEdge(orderParser, orderEnrich)
+    .AddEdge(orderEnrich, notifyFraud, condition: OrderRouteConditions.WhenBlocked())
+    .AddEdge(orderEnrich, paymentProcessor, condition: OrderRouteConditions.WhenNotBlocked());
+```
+
+The condition functions receive the output of the source executor and return a boolean:
+
+```csharp
+internal static class OrderRouteConditions
+{
+    // Routes to NotifyFraud when customer is blocked
+    internal static Func<Order?, bool> WhenBlocked() => 
+        order => order?.Customer?.IsBlocked == true;
+
+    // Routes to PaymentProcessor when customer is not blocked
+    internal static Func<Order?, bool> WhenNotBlocked() => 
+        order => order?.Customer?.IsBlocked == false;
+}
+```
+
+### Routing Logic
+
+In this sample, the routing is based on the order ID:
+- Order IDs containing the letter **'B'** are associated with blocked customers ? routed to `NotifyFraud`
+- All other order IDs are associated with valid customers ? routed to `PaymentProcessor`
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for information on configuring the environment, including how to install and run the Durable Task Scheduler.
+
+## Running the Sample
+
+```bash
+cd dotnet/samples/Durable/Workflow/ConsoleApps/03_ConditionalEdges
+dotnet run --framework net10.0
+```
+
+### Sample Output
+
+**Valid order (routes to PaymentProcessor):**
+```text
+Enter an order ID (or 'exit'):
+> 12345
+Starting workflow for order '12345'...
+Run ID: abc123...
+Waiting for workflow to complete...
+Workflow completed. {"Id":"12345","Amount":100.0,"Customer":{"Id":201,"Name":"Jerry","IsBlocked":false},"PaymentReferenceNumber":"a1b2"}
+```
+
+**Blocked order (routes to NotifyFraud):**
+```text
+Enter an order ID (or 'exit'):
+> 12345B
+Starting workflow for order '12345B'...
+Run ID: def456...
+Waiting for workflow to complete...
+Workflow completed. Order 12345B flagged as fraudulent for customer George.
+```
@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>WorkflowConcurrency</AssemblyName>
+    <RootNamespace>WorkflowConcurrency</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
+    <PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+    <PackageReference Include="Azure.AI.OpenAI" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.DurableTask" />
+    <PackageReference Include="Microsoft.Agents.AI.Workflows" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.DurableTask\Microsoft.Agents.AI.DurableTask.csproj" />
+    <ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>
@@ -0,0 +1,73 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace WorkflowConcurrency;
+
+/// <summary>
+/// Parses and validates the incoming question before sending to AI agents.
+/// </summary>
+internal sealed class ParseQuestionExecutor() : Executor<string, string>("ParseQuestion")
+{
+    public override ValueTask<string> HandleAsync(
+        string message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine("│ [ParseQuestion] Preparing question for AI agents...");
+
+        string formattedQuestion = message.Trim();
+        if (!formattedQuestion.EndsWith('?'))
+        {
+            formattedQuestion += "?";
+        }
+
+        Console.WriteLine($"│ [ParseQuestion] Question: \"{formattedQuestion}\"");
+        Console.WriteLine("│ [ParseQuestion] → Sending to experts...");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return ValueTask.FromResult(formattedQuestion);
+    }
+}
+
+/// <summary>
+/// Aggregates responses from multiple AI agents into a unified response.
+/// This executor collects all expert opinions and synthesizes them.
+/// </summary>
+internal sealed class ResponseAggregatorExecutor() : Executor<string[], string>("ResponseAggregator")
+{
+    public override ValueTask<string> HandleAsync(
+        string[] message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Cyan;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine($"│ [Aggregator] 📋 Received {message.Length} AI agent responses");
+        Console.WriteLine("│ [Aggregator] Combining into comprehensive answer...");
+        Console.WriteLine("│ [Aggregator] ✓ Aggregation complete!");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        string aggregatedResult = "═══════════════════════════════════════════════════════════════\n" +
+                                 "                    AI EXPERT PANEL RESPONSES\n" +
+                                 "═══════════════════════════════════════════════════════════════\n\n";
+
+        for (int i = 0; i < message.Length; i++)
+        {
+            string expertLabel = i == 0 ? "⚛️ PHYSICIST" : "🧪 CHEMIST";
+            aggregatedResult += $"{expertLabel}:\n{message[i]}\n\n";
+        }
+
+        aggregatedResult += "═══════════════════════════════════════════════════════════════\n" +
+                          $"Summary: Received perspectives from {message.Length} AI experts.\n" +
+                          "═══════════════════════════════════════════════════════════════";
+
+        return ValueTask.FromResult(aggregatedResult);
+    }
+}
@@ -0,0 +1,133 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates the THREE ways to configure durable agents and workflows:
+//
+// 1. ConfigureDurableAgents()   - For standalone agents only
+// 2. ConfigureDurableWorkflows() - For workflows only
+// 3. ConfigureDurableOptions()   - For both agents AND workflows
+//
+// KEY: All methods can be called MULTIPLE times - configurations are ADDITIVE.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Agents.AI.DurableTask.Workflows;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+using WorkflowConcurrency;
+
+// Configuration
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+
+// Create AI agents
+AzureOpenAIClient openAiClient = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+ChatClient chatClient = openAiClient.GetChatClient(deploymentName);
+
+AIAgent biologist = chatClient.AsAIAgent("You are a biology expert. Explain concepts clearly in 2-3 sentences.", "Biologist");
+AIAgent physicist = chatClient.AsAIAgent("You are a physics expert. Explain concepts clearly in 2-3 sentences.", "Physicist");
+AIAgent chemist = chatClient.AsAIAgent("You are a chemistry expert. Explain concepts clearly in 2-3 sentences.", "Chemist");
+
+// Create workflows
+ParseQuestionExecutor questionParser = new();
+ResponseAggregatorExecutor responseAggregator = new();
+
+Workflow physicsWorkflow = new WorkflowBuilder(questionParser)
+    .WithName("PhysicsExpertReview")
+    .AddEdge(questionParser, physicist)
+    .Build();
+
+Workflow expertTeamWorkflow = new WorkflowBuilder(questionParser)
+.WithName("ExpertTeamReview")
+.AddFanOutEdge(questionParser, [biologist, physicist])
+.AddFanInEdge([biologist, physicist], responseAggregator)
+.Build();
+
+Workflow chemistryWorkflow = new WorkflowBuilder(questionParser)
+    .WithName("ChemistryExpertReview")
+    .AddEdge(questionParser, chemist)
+    .Build();
+
+// Configure services - demonstrating all 3 methods (each can be called multiple times)
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        // METHOD 1: ConfigureDurableAgents - for standalone agents only
+        services.ConfigureDurableAgents(
+            options => options.AddAIAgent(biologist),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+
+        // METHOD 2: ConfigureDurableWorkflows - for workflows only
+        services.ConfigureDurableWorkflows(options => options.AddWorkflow(physicsWorkflow));
+
+        // METHOD 3: ConfigureDurableOptions - for both agents AND workflows
+        services.ConfigureDurableOptions(options =>
+        {
+            options.Agents.AddAIAgent(chemist);
+            options.Workflows.AddWorkflow(expertTeamWorkflow);
+        });
+
+        // Second call to ConfigureDurableOptions (additive - adds to existing config)
+        services.ConfigureDurableOptions(options => options.Workflows.AddWorkflow(chemistryWorkflow));
+    })
+    .Build();
+
+await host.StartAsync();
+IServiceProvider services = host.Services;
+IWorkflowClient workflowClient = services.GetRequiredService<IWorkflowClient>();
+
+// DEMO 1: Direct agent conversation (standalone agents)
+Console.WriteLine("\n═══ DEMO 1: Direct Agent Conversation ═══\n");
+
+AIAgent biologistProxy = services.GetRequiredKeyedService<AIAgent>("Biologist");
+AgentSession session = await biologistProxy.GetNewSessionAsync();
+AgentResponse response = await biologistProxy.RunAsync("What is photosynthesis?", session);
+Console.WriteLine($"🧬 Biologist: {response.Text}\n");
+
+AIAgent chemistProxy = services.GetRequiredKeyedService<AIAgent>("Chemist");
+session = await chemistProxy.GetNewSessionAsync();
+response = await chemistProxy.RunAsync("What is a chemical bond?", session);
+Console.WriteLine($"🧪 Chemist: {response.Text}\n");
+
+// DEMO 2: Single-agent workflow
+Console.WriteLine("═══ DEMO 2: Single-Agent Workflow ═══\n");
+await RunWorkflowAsync(workflowClient, physicsWorkflow, "What is the relationship between energy and mass?");
+
+// DEMO 3: Multi-agent workflow
+Console.WriteLine("═══ DEMO 3: Multi-Agent Workflow ═══\n");
+await RunWorkflowAsync(workflowClient, expertTeamWorkflow, "How does radiation affect living cells?");
+
+// DEMO 4: Workflow from second ConfigureDurableOptions call
+Console.WriteLine("═══ DEMO 4: Workflow (added via 2nd ConfigureDurableOptions) ═══\n");
+await RunWorkflowAsync(workflowClient, chemistryWorkflow, "What happens during combustion?");
+
+Console.WriteLine("\n✅ All demos completed!");
+await host.StopAsync();
+
+// Helper method
+static async Task RunWorkflowAsync(IWorkflowClient client, Workflow workflow, string question)
+{
+    Console.WriteLine($"📋 {workflow.Name}: \"{question}\"");
+    IWorkflowRun run = await client.RunAsync(workflow, question);
+    if (run is IAwaitableWorkflowRun awaitable)
+    {
+        string? result = await awaitable.WaitForCompletionAsync<string>();
+        Console.WriteLine($"✅ {result}\n");
+    }
+}