Update sub sample to have more than 1 nested level.

* refactor: Rename AggregateTurnMessagesExecutor

* feat: Rework Agent Hosting for Configurability and HIL support

* Adds support for selecting whether updates and/or full responses are
  emitted to events
* Adds support for HIL/FunctionCalls (including interception)
* Implements internal support for ExternalRequests from any executor
  (not just RequestPort)

* test: Add tests for new AIAgentHostExecutor functionality

* feat: Unify non-Handoff Agent Hosting

* doc: More explicit documentation for `overwrite` in RouteBuilder

.github/actions/azure-functions-integration-setup/action.yml

@@ -12,7 +12,7 @@ runs:
             docker rm -f dts-emulator
           fi
           echo "Starting Durable Task Scheduler Emulator"
-          docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest
+          docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 -e DTS_USE_DYNAMIC_TASK_HUBS=true mcr.microsoft.com/dts/dts-emulator:latest
           echo "Waiting for Durable Task Scheduler Emulator to be ready"
           timeout 30 bash -c 'until curl --silent http://localhost:8080/healthz; do sleep 1; done'
           echo "Durable Task Scheduler Emulator is ready"

.github/copilot-instructions.md

@@ -14,6 +14,8 @@ Here are some general guidelines that apply to all code.
 
 - The top of all *.cs files should have a copyright notice: `// Copyright (c) Microsoft. All rights reserved.`
 - All public methods and classes should have XML documentation comments.
+- After adding, modifying or deleting code, run `dotnet build`, and then fix any reported build errors.
+- After adding or modifying code, run `dotnet format` to automatically fix any formatting errors.
 
 ### C# Sample Code Guidelines
 

.github/workflows/dotnet-build-and-test.yml

@@ -95,7 +95,7 @@ jobs:
           echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
 
       - name: Setup dotnet
-        uses: actions/setup-dotnet@v5.0.1
+        uses: actions/setup-dotnet@v5.1.0
         with:
           global-json-file: ${{ github.workspace }}/dotnet/global.json
       - name: Build dotnet solutions

.github/workflows/merge-gatekeeper.yml

@@ -29,4 +29,4 @@ jobs:
           token: ${{ secrets.GITHUB_TOKEN }}
           timeout: 3600
           interval: 30
-          ignored: CodeQL
+          ignored: CodeQL,CodeQL analysis (csharp)

.github/workflows/python-test-coverage-report.yml

@@ -34,9 +34,16 @@ jobs:
         # because the workflow_run event does not have access to the PR number
         # The PR number is needed to post the comment on the PR
         run: |
-          PR_NUMBER=$(cat pr_number)
-          echo "PR number: $PR_NUMBER"
-          echo "PR_NUMBER=$PR_NUMBER" >> $GITHUB_ENV
+          if [ ! -s pr_number ]; then
+            echo "PR number file 'pr_number' is missing or empty"
+            exit 1
+          fi
+          PR_NUMBER=$(head -1 pr_number | tr -dc '0-9')
+          if [ -z "$PR_NUMBER" ]; then
+            echo "PR number file 'pr_number' does not contain a valid PR number"
+            exit 1
+          fi
+          echo "PR_NUMBER=$PR_NUMBER" >> "$GITHUB_ENV"
       - name: Pytest coverage comment
         id: coverageComment
         uses: MishaKav/pytest-coverage-comment@v1.2.0

docs/decisions/0014-feature-collections.md

@@ -0,0 +1,423 @@
+---
+status: accepted
+contact: westey-m
+date: 2025-01-21
+deciders: sergeymenshykh, markwallace, rbarreto, westey-m, stephentoub
+consulted: reubenbond
+informed:
+---
+
+# Feature Collections
+
+## Context and Problem Statement
+
+When using agents, we often have cases where we want to pass some arbitrary services or data to an agent or some component in the agent execution stack.
+These services or data are not necessarily known at compile time and can vary by the agent stack that the user has built.
+E.g., there may be an agent decorator or chat client decorator that was added to the stack by the user, and an arbitrary payload needs to be passed to that decorator.
+
+Since these payloads are related to components that are not integral parts of the agent framework, they cannot be added as strongly typed settings to the agent run options.
+However, the payloads could be added to the agent run options as loosely typed 'features', that can be retrieved as needed.
+
+In some cases certain classes of agents may support the same capability, but not all agents do.
+Having the configuration for such a capability on the main abstraction would advertise the functionality to all users, even if their chosen agent does not support it.
+The user may type test for certain agent types, and call overloads on the appropriate agent types, with the strongly typed configuration.
+Having a feature collection though, would be an alternative way of passing such configuration, without needing to type check the agent type.
+All agents that support the functionality would be able to check for the configuration and use it, simplifying the user code.
+If the agent does not support the capability, that configuration would be ignored.
+
+### Sample Scenario 1 - Per Run ChatMessageStore Override for hosting Libraries
+
+We are building an agent hosting library, that can host any agent built using the agent framework.
+Where an agent is not built on a service that uses in-service chat history storage, the hosting library wants to force the agent to use
+the hosting library's chat history storage implementation.
+This chat history storage implementation may be specifically tailored to the type of protocol that the hosting library uses, e.g. conversation id based storage or response id based storage.
+The hosting library does not know what type of agent it is hosting, so it cannot provide a strongly typed parameter on the agent.
+Instead, it adds the chat history storage implementation to a feature collection, and if the agent supports custom chat history storage, it retrieves the implementation from the feature collection and uses it.
+
+```csharp
+// Pseudo-code for an agent hosting library that supports conversation id based hosting.
+public async Task<string> HandleConversationsBasedRequestAsync(AIAgent agent, string conversationId, string userInput)
+{
+    var thread = await this._threadStore.GetOrCreateThread(conversationId);
+
+    // The hosting library can set a per-run chat message store via Features that only applies for that run.
+    // This message store will load and save messages under the conversation id provided.
+    ConversationsChatMessageStore messageStore = new(this._dbClient, conversationId);
+    var response = await agent.RunAsync(
+        userInput,
+        thread,
+        options: new AgentRunOptions()
+        {
+            Features = new AgentFeatureCollection().WithFeature<ChatMessageStore>(messageStore)
+        });
+
+    await this._threadStore.SaveThreadAsync(conversationId, thread);
+    return response.Text;
+}
+
+// Pseudo-code for an agent hosting library that supports response id based hosting.
+public async Task<(string responseMessage, string responseId)> HandleResponseIdBasedRequestAsync(AIAgent agent, string previousResponseId, string userInput)
+{
+    var thread = await this._threadStore.GetOrCreateThreadAsync(previousResponseId);
+
+    // The hosting library can set a per-run chat message store via Features that only applies for that run.
+    // This message store will buffer newly added messages until explicitly saved after the run.
+    ResponsesChatMessageStore messageStore = new(this._dbClient, previousResponseId);
+
+    var response = await agent.RunAsync(
+        userInput,
+        thread,
+        options: new AgentRunOptions()
+        {
+            Features = new AgentFeatureCollection().WithFeature<ChatMessageStore>(messageStore)
+        });
+
+    // Since the message store may not actually have been used at all (if the agent's underlying chat client requires service-based chat history storage),
+    // we may not have anything to save back to the database.
+    // We still want to generate a new response id though, so that we can save the updated thread state under that id.
+    // We should also use the same id to save any buffered messages in the message store if there are any.
+    var newResponseId = this.GenerateResponseId();
+    if (messageStore.HasBufferedMessages)
+    {
+        await messageStore.SaveBufferedMessagesAsync(newResponseId);
+    }
+    
+    // Save the updated thread state under the new response id that was generated by the store.
+    await this._threadStore.SaveThreadAsync(newResponseId, thread);
+    return (response.Text, newResponseId);
+}
+```
+
+### Sample Scenario 2 - Structured output
+
+Currently our base abstraction does not support structured output, since the capability is not supported by all agents.
+For those agents that don't support structured output, we could add an agent decorator that takes the response from the underlying agent, and applies structured output parsing on top of it via an additional LLM call.
+
+If we add structured output configuration as a feature, then any agent that supports structured output could retrieve the configuration from the feature collection and apply it, and where it is not supported, the configuration would simply be ignored.
+
+We could add a simple StructuredOutputAgentFeature that can be added to the list of features and also be used to return the generated structured output.
+
+```csharp
+internal class StructuredOutputAgentFeature
+{
+    public Type? OutputType { get; set; }
+
+    public JsonSerializerOptions? SerializerOptions { get; set; }
+
+    public bool? UseJsonSchemaResponseFormat { get; set; }
+
+    // Contains the result of the structured output parsing request.
+    public ChatResponse? ChatResponse { get; set; }
+}
+```
+
+We can add a simple decorator class that does the chat client invocation.
+
+```csharp
+public class StructuredOutputAgent : DelegatingAIAgent
+{
+    private readonly IChatClient _chatClient;
+    public StructuredOutputAgent(AIAgent innerAgent, IChatClient chatClient)
+        : base(innerAgent)
+    {
+        this._chatClient = Throw.IfNull(chatClient);
+    }
+
+    public override async Task<AgentRunResponse> RunAsync(
+        IEnumerable<ChatMessage> messages,
+        AgentThread? thread = null,
+        AgentRunOptions? options = null,
+        CancellationToken cancellationToken = default)
+    {
+        // Run the inner agent first, to get back the text response we want to convert.
+        var response = await base.RunAsync(messages, thread, options, cancellationToken).ConfigureAwait(false);
+
+        if (options?.Features?.TryGet<StructuredOutputAgentFeature>(out var responseFormatFeature) is true
+            && responseFormatFeature.OutputType is not null)
+        {
+            // Create the chat options to request structured output.
+            ChatOptions chatOptions = new()
+            {
+                ResponseFormat = ChatResponseFormat.ForJsonSchema(responseFormatFeature.OutputType, responseFormatFeature.SerializerOptions)
+            };
+
+            // Invoke the chat client to transform the text output into structured data.
+            // The feature is updated with the result.
+            // The code can be simplified by adding a non-generic structured output GetResponseAsync
+            // overload that takes Type as input.
+            responseFormatFeature.ChatResponse = await this._chatClient.GetResponseAsync(
+                messages: new[]
+                {
+                    new ChatMessage(ChatRole.System, "You are a json expert and when provided with any text, will convert it to the requested json format."),
+                    new ChatMessage(ChatRole.User, response.Text)
+                },
+                options: chatOptions,
+                cancellationToken: cancellationToken).ConfigureAwait(false);
+        }
+
+        return response;
+    }
+}
+```
+
+Finally, we can add an extension method on `AIAgent` that can add the feature to the run options and check the feature for the structured output result and add the deserialized result to the response.
+
+```csharp
+public static async Task<AgentRunResponse<T>> RunAsync<T>(
+    this AIAgent agent,
+    IEnumerable<ChatMessage> messages,
+    AgentThread? thread = null,
+    JsonSerializerOptions? serializerOptions = null,
+    AgentRunOptions? options = null,
+    bool? useJsonSchemaResponseFormat = null,
+    CancellationToken cancellationToken = default)
+{
+    // Create the structured output feature.
+    var structuredOutputFeature = new StructuredOutputAgentFeature();
+    structuredOutputFeature.OutputType = typeof(T);
+    structuredOutputFeature.UseJsonSchemaResponseFormat = useJsonSchemaResponseFormat;
+
+    // Run the agent.
+    options ??= new AgentRunOptions();
+    options.Features ??= new AgentFeatureCollection();
+    options.Features.Set(structuredOutputFeature);
+
+    var response = await agent.RunAsync(messages, thread, options, cancellationToken).ConfigureAwait(false);
+
+    // Deserialize the JSON output.
+    if (structuredOutputFeature.ChatResponse is not null)
+    {
+        var typed = new ChatResponse<T>(structuredOutputFeature.ChatResponse, serializerOptions ?? AgentJsonUtilities.DefaultOptions);
+        return new AgentRunResponse<T>(response, typed.Result);
+    }
+
+    throw new InvalidOperationException("No structured output response was generated by the agent.");
+}
+```
+
+We can then use the extension method with any agent that supports structured output or that has
+been decorated with the `StructuredOutputAgent` decorator.
+
+```csharp
+agent = new StructuredOutputAgent(agent, chatClient);
+
+AgentRunResponse<PersonInfo> response = await agent.RunAsync<PersonInfo>([new ChatMessage(
+    ChatRole.User,
+    "Please provide information about John Smith, who is a 35-year-old software engineer.")]);
+```
+
+## Implementation Options
+
+Three options were considered for implementing feature collections:
+
+- **Option 1**: FeatureCollections similar to ASP.NET Core
+- **Option 2**: AdditionalProperties Dictionary
+- **Option 3**: IServiceProvider
+
+Here are some comparisons about their suitability for our use case:
+
+| Criteria         | Feature Collection | Additional Properties | IServiceProvider |
+|------------------|--------------------|-----------------------|------------------|
+|Ease of use       |✅ Good             |❌ Bad                |✅ Good           |
+|User familiarity  |❌ Bad              |✅ Good               |✅ Good           |
+|Type safety       |✅ Good             |❌ Bad                |✅ Good           |
+|Ability to modify registered options when progressing down the stack|✅ Supported|✅ Supported|❌ Not-Supported (IServiceProvider is read-only)|
+|Already available in MEAI stack|❌ No|✅ Yes|❌ No|
+|Ambiguity with existing AdditionalProperties|❌ Yes|✅ No|❌ Yes|
+
+## IServiceProvider
+
+Service Collections and Service Providers provide a very popular way to register and retrieve services by type and could be used as a way to pass features to agents and chat clients.
+
+However, since IServiceProvider is read-only, it is not possible to modify the registered services when progressing down the execution stack.
+E.g. an agent decorator cannot add additional services to the IServiceProvider passed to it when calling into the inner agent.
+
+IServiceProvider also does not expose a way to list all services contained in it, making it difficult to copy services from one provider to another.
+
+This lack of mutability makes IServiceProvider unsuitable for our use case, since we will not be able to use it to build sample scenario 2.
+
+## AdditionalProperties dictionary
+
+The AdditionalProperties dictionary is already available on various options classes in the agent framework as well as in the MEAI stack and
+allows storing arbitrary key/value pairs, where the key is a string and the value is an object.
+
+While FeatureCollection uses Type as a key, AdditionalProperties uses string keys.
+This means that users need to agree on string keys to use for specific features, however it is also possible to use Type.FullName as a key by convention
+to avoid key collisions, which is an easy convention to follow.
+
+Since the value of AdditionalProperties is of type object, users need to cast the value to the expected type when retrieving it, which is also
+a drawback, but when using the convention of using Type.FullName as a key, there is at least a clear expectation of what type to cast to.
+
+```csharp
+// Setting a feature
+options.AdditionalProperties[typeof(MyFeature).FullName] = new MyFeature();
+
+// Retrieving a feature
+if (options.AdditionalProperties.TryGetValue(typeof(MyFeature).FullName, out var featureObj)
+    && featureObj is MyFeature myFeature)
+{
+    // Use myFeature
+}
+```
+
+It would also be possible to add extension methods to simplify setting and getting features from AdditionalProperties.
+Having a base class for features should help make this more feature rich.
+
+```csharp
+// Setting a feature, this can use Type.FullName as the key.
+options.AdditionalProperties
+    .WithFeature(new MyFeature());
+
+// Retrieving a feature, this can use Type.FullName as the key.
+if (options.AdditionalProperties.TryGetFeature<MyFeature>(out var myFeature))
+{
+    // Use myFeature
+}
+```
+
+It would also be possible to add extension methods for a feature to simplify setting and getting features from AdditionalProperties.
+
+```csharp
+// Setting a feature
+options.AdditionalProperties
+    .WithMyFeature(new MyFeature());
+// Retrieving a feature
+if (options.AdditionalProperties.TryGetMyFeature(out var myFeature))
+{
+    // Use myFeature
+}
+```
+
+## Feature Collection
+
+If we choose the feature collection option, we need to decide on the design of the feature collection itself.
+
+### Feature Collections extension points
+
+We need to decide the set of actions that feature collections would be supported for. Here is the suggested list of actions:
+
+**MAAI.AIAgent:**
+
+1. GetNewThread
+    1. E.g. this would allow passing an already existing storage id for the thread to use, or an initialized custom chat message store to use.
+1. DeserializeThread
+    1. E.g. this would allow passing an already existing storage id for the thread to use, or an initialized custom chat message store to use.
+1. Run / RunStreaming
+    1. E.g. this would allow passing an override chat message store just for that run, or a desired schema for a structured output middleware component.
+
+**MEAI.ChatClient:**
+
+1. GetResponse / GetStreamingResponse
+
+### Reconciling with existing AdditionalProperties
+
+If we decide to add feature collections, separately from the existing AdditionalProperties dictionaries, we need to consider how to explain to users when to use each one.
+One possible approach though is to have the one use the other under the hood.
+AdditionalProperties could be stored as a feature in the feature collection.
+
+Users would be able to retrieve additional properties from the feature collection, in addition to retrieving it via a dedicated AdditionalProperties property.
+E.g. `features.Get<AdditionalPropertiesDictionary>()`
+
+One challenge with this approach is that when setting a value in the AdditionalProperties dictionary, the feature collection would need to be created first if it does not already exist.
+
+```csharp
+public class AgentRunOptions
+{
+    public AdditionalPropertiesDictionary? AdditionalProperties { get; set; }
+    public IAgentFeatureCollection? Features { get; set; }
+}
+
+var options = new AgentRunOptions();
+// This would need to create the feature collection first, if it does not already exist.
+options.AdditionalProperties ??= new AdditionalPropertiesDictionary();
+```
+
+Since IAgentFeatureCollection is an interface, AgentRunOptions would need to have a concrete implementation of the interface to create, meaning that the user cannot decide.
+It also means that if the user doesn't realise that AdditionalProperties is implemented using feature collections, they may set a value on AdditionalProperties, and then later overwrite the entire feature collection, losing the AdditionalProperties feature.
+
+Options to avoid these issues:
+
+1. Make `Features` readonly.
+    1. This would prevent the user from overwriting the feature collection after setting AdditionalProperties.
+    1. Since the user cannot set their own implementation of IAgentFeatureCollection, having an interface for it may not be necessary.
+
+### Feature Collection Implementation
+
+We have two options for implementing feature collections:
+
+1. Create our own [IAgentFeatureCollection interface](https://github.com/microsoft/agent-framework/pull/2354/files#diff-9c42f3e60d70a791af9841d9214e038c6de3eebfc10e3997cb4cdffeb2f1246d) and [implementation](https://github.com/microsoft/agent-framework/pull/2354/files#diff-a435cc738baec500b8799f7f58c1538e3bb06c772a208afc2615ff90ada3f4ca).
+2. Reuse the asp.net [IFeatureCollection interface](https://github.com/dotnet/aspnetcore/blob/main/src/Extensions/Features/src/IFeatureCollection.cs) and [implementation](https://github.com/dotnet/aspnetcore/blob/main/src/Extensions/Features/src/FeatureCollection.cs).
+
+#### Roll our own
+
+Advantages:
+
+Creating our own IAgentFeatureCollection interface and implementation has the advantage of being more clearly associated with the agent framework and allows us to
+improve on some of the design decisions made in asp.net core's IFeatureCollection.
+
+Drawbacks:
+
+It would mean a different implementation to maintain and test.
+
+#### Reuse asp.net IFeatureCollection
+
+Advantages:
+
+Reusing the asp.net IFeatureCollection has the advantage of being able to reuse the well-established and tested implementation from asp.net
+core. Users who are using agents in an asp.net core application may be able to pass feature collections from asp.net core to the agent framework directly.
+
+Drawbacks:
+
+While the package name is `Microsoft.Extensions.Features`, the namespaces of the types are `Microsoft.AspNetCore.Http.Features`, which may create confusion for users of agent framework who are not building web applications or services.
+Users may rightly ask: Why do I need to use a class from asp.net core when I'm not building a web application / service?
+
+The current design has some design issues that would be good to avoid.  E.g. it does not distinguish between a feature being "not set" and "null". Get returns both as null and there is no tryget method.
+Since the [default implementation](https://github.com/dotnet/aspnetcore/blob/main/src/Extensions/Features/src/FeatureCollection.cs) also supports value types, it throws for null values of value types.
+A TryGet method would be more appropriate.
+
+## Feature Layering
+
+One possible scenario when adding support for feature collections is to allow layering of features by scope.
+
+The following levels of scope could be supported:
+
+1. Application - Application wide features that apply to all agents / chat clients
+2. Artifact (Agent / ChatClient) - Features that apply to all runs of a specific agent or chat client instance
+3. Action (GetNewThread / Run / GetResponse) - Feature that apply to a single action only
+
+When retrieving a feature from the collection, the search would start from the most specific scope (Action) and progress to the least specific scope (Application), returning the first matching feature found.
+
+Introducing layering adds some challenges:
+
+- There may be multiple feature collections at the same scope level, e.g. an Agent that uses a ChatClient where both have their own feature collections.
+  - Do we layer the agent feature collection over the chat client feature collection (Application -> ChatClient -> Agent -> Run), or only use the agent feature collection in the agent (Application -> Agent -> Run), and the chat client feature collection in the chat client (Application -> ChatClient -> Run)?
+- The appropriate base feature collection may change when progressing down the stack, e.g. when an Agent calls a ChatClient, the action feature collection stays the same, but the artifact feature collection changes.
+- Who creates the feature collection hierarchy?
+  - Since the hierarchy changes as it progresses down the execution stack, and the caller can only pass in the action level feature collection, the callee needs to combine it with its own artifact level feature collection and the application level feature collection. Each action will need to build the appropriate feature collection hierarchy, at the start of its execution.
+- For Artifact level features, it seems odd to pass them in as a bag of untyped features, when we are constructing a known artifact type and therefore can have typed settings.
+  - E.g. today we have a strongly typed setting on ChatClientAgentOptions to configure a ChatMessageStore for the agent.
+- To avoid global statics for application level features, the user would need to pass in the application level feature collection to each artifact that they create.
+  - This would be very odd if the user also already has to strongly typed settings for each feature that they want to set at the artifact level.
+
+### Layering Options
+
+1. No layering - only a single feature collection is supported per action (the caller can still create a layered collection if desired, but the callee does not do any layering automatically).
+    1. Fallback is to any features configured on the artifact via strongly typed settings.
+1. Full layering - support layering at all levels (Application -> Artifact -> Action).
+    1. Only apply applicable artifact level features when calling into that artifact.
+    1. Apply upstream artifact features when calling into downstream artifacts, e.g. Feature hierarchy in ChatClientAgent would be `Application -> Agent -> Run` and in ChatClient would be `Application -> ChatClient -> Agent -> Run` or `Application -> Agent -> ChatClient -> Run`
+    1. The user needs to provide the application level feature collection to each artifact that they create and artifact features are passed via strongly typed settings.
+
+### Accessing application level features Options
+
+We need to consider how application level features would be accessed if supported.
+
+1. The user provides the application level feature collection to each artifact that the user constructs
+    1. Passing the application level feature collection to each artifact is tedious for the user.
+1. There is a static application level feature collection that can be accessed globally.
+    1. Statics create issues with testing and isolation.
+
+## Decisions
+
+- Feature Collections Container: Use AdditionalProperties
+- Feature Layering: No layering - only a single collection/dictionary is supported per action. Application layers can be added later if needed.

dotnet/Directory.Packages.props

@@ -33,18 +33,18 @@
     <!-- Newtonsoft.Json -->
     <PackageVersion Include="Newtonsoft.Json" Version="13.0.4" />
     <!-- System.* -->
-    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.1" />
+    <PackageVersion Include="Microsoft.Bcl.AsyncInterfaces" Version="10.0.2" />
     <PackageVersion Include="Microsoft.Bcl.HashCode" Version="6.0.0" />
     <PackageVersion Include="System.ClientModel" Version="1.8.1" />
     <PackageVersion Include="System.CodeDom" Version="10.0.0" />
     <PackageVersion Include="System.Collections.Immutable" Version="10.0.0" />
     <PackageVersion Include="System.CommandLine" Version="2.0.0-rc.2.25502.107" />
-    <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.1" />
+    <PackageVersion Include="System.Diagnostics.DiagnosticSource" Version="10.0.2" />
     <PackageVersion Include="System.Linq.AsyncEnumerable" Version="10.0.0" />
     <PackageVersion Include="System.Net.Http.Json" Version="10.0.0" />
     <PackageVersion Include="System.Net.ServerSentEvents" Version="10.0.0" />
-    <PackageVersion Include="System.Text.Json" Version="10.0.1" />
-    <PackageVersion Include="System.Threading.Channels" Version="10.0.1" />
+    <PackageVersion Include="System.Text.Json" Version="10.0.2" />
+    <PackageVersion Include="System.Threading.Channels" Version="10.0.2" />
     <PackageVersion Include="System.Threading.Tasks.Extensions" Version="4.6.3" />
     <PackageVersion Include="System.Net.Security" Version="4.3.2" />
     <!-- OpenTelemetry -->
@@ -61,9 +61,9 @@
     <PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="10.0.0" />
     <PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
     <!-- Microsoft.Extensions.* -->
-    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.1.1" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.1.1" />
-    <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.1-preview.1.25612.2" />
+    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.2.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.2.0" />
+    <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.2.0-preview.1.26063.2" />
     <PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration.Binder" Version="10.0.0" />
@@ -71,11 +71,11 @@
     <PackageVersion Include="Microsoft.Extensions.Configuration.Json" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration.UserSecrets" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.DependencyInjection" Version="10.0.0" />
-    <PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.1" />
+    <PackageVersion Include="Microsoft.Extensions.DependencyInjection.Abstractions" Version="10.0.2" />
     <PackageVersion Include="Microsoft.Extensions.Hosting" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Http.Resilience" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Logging" Version="10.0.0" />
-    <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.1" />
+    <PackageVersion Include="Microsoft.Extensions.Logging.Abstractions" Version="10.0.2" />
     <PackageVersion Include="Microsoft.Extensions.Logging.Console" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.ServiceDiscovery" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.VectorData.Abstractions" Version="9.7.0" />
@@ -112,14 +112,14 @@
     <PackageVersion Include="Microsoft.Bot.ObjectModel.PowerFx" Version="1.2025.1106.1" />
     <PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.5.0-build.20251008-1002" />
     <!-- Durable Task -->
-    <PackageVersion Include="Microsoft.DurableTask.Client" Version="1.18.0" />
-    <PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.18.0" />
-    <PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.18.0" />
-    <PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.18.0" />
+    <PackageVersion Include="Microsoft.DurableTask.Client" Version="1.19.1" />
+    <PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.19.0" />
+    <PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.19.0" />
+    <PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.19.0" />
     <!-- Azure Functions -->
     <PackageVersion Include="Microsoft.Azure.Functions.Worker" Version="2.50.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.ApplicationInsights" Version="2.50.0" />
-    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.11.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.13.1" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" Version="1.0.1" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http" Version="3.3.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
@@ -143,6 +143,7 @@
     <!-- Symbols -->
     <PackageVersion Include="Microsoft.SourceLink.GitHub" Version="8.0.0" />
     <!-- Toolset -->
+    <PackageVersion Include="Microsoft.CodeAnalysis.Analyzers" Version="3.11.0" />
     <PackageVersion Include="Microsoft.CodeAnalysis.CSharp" Version="4.14.0" />
     <PackageVersion Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="10.0.100" />
     <PackageReference Include="Microsoft.CodeAnalysis.NetAnalyzers">

dotnet/agent-framework-dotnet.slnx

@@ -34,6 +34,28 @@
     <Project Path="samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
     <Project Path="samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
     <Project Path="samples/AzureFunctions/08_ReliableStreaming/08_ReliableStreaming.csproj" />
+    <Project Path="samples/AzureFunctions/09_Workflow/09_Workflow.csproj" />
+    <Project Path="samples/AzureFunctions/10_WorkflowConcurrent/10_WorkflowConcurrent.csproj" />
+    <Project Path="samples/AzureFunctions/11_WorkflowSharedState/11_WorkflowSharedState.csproj" />
+    <Project Path="samples/AzureFunctions/12_ConditionalEdges/12_ConditionalEdges.csproj" />
+  </Folder>
+  <Folder Name="/Samples/DurableAgents/">
+    <File Path="samples/DurableAgents/ConsoleApps/README.md" />
+  </Folder>
+  <Folder Name="/Samples/DurableAgents/ConsoleApps/">
+    <Project Path="samples/DurableAgents/ConsoleApps/01_SingleAgent/01_SingleAgent.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/06_LongRunningTools/06_LongRunningTools.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/07_ReliableStreaming/07_ReliableStreaming.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/08_SingleWorkflow/08_SingleWorkflow.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/09_SubWorkflows/09_SubWorkflows.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/09_Workflow_Concurrency/09_Workflow_Concurrency.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/10_Workflow_HITL/10_Workflow_HITL.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/11_WorkflowEvents/11_WorkflowEvents.csproj" />
+    <Project Path="samples/DurableAgents/ConsoleApps/12_WorkflowLoop/12_WorkflowLoop.csproj" />
   </Folder>
   <Folder Name="/Samples/GettingStarted/">
     <File Path="samples/GettingStarted/README.md" />
@@ -81,6 +103,7 @@
     <Project Path="samples/GettingStarted/Agents/Agent_Step17_BackgroundResponses/Agent_Step17_BackgroundResponses.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step18_DeepResearch/Agent_Step18_DeepResearch.csproj" />
     <Project Path="samples/GettingStarted/Agents/Agent_Step19_Declarative/Agent_Step19_Declarative.csproj" />
+    <Project Path="samples/GettingStarted/Agents/Agent_Step20_AdditionalAIContext/Agent_Step20_AdditionalAIContext.csproj" />
   </Folder>
   <Folder Name="/Samples/GettingStarted/DeclarativeAgents/">
     <Project Path="samples/GettingStarted/DeclarativeAgents/ChatClient/DeclarativeChatClientAgents.csproj" />
@@ -286,6 +309,11 @@
     <File Path="../docs/decisions/0007-agent-filtering-middleware.md" />
     <File Path="../docs/decisions/0008-python-subpackages.md" />
     <File Path="../docs/decisions/0009-support-long-running-operations.md" />
+    <File Path="../docs/decisions/0010-ag-ui-support.md" />
+    <File Path="../docs/decisions/0011-create-get-agent-api.md" />
+    <File Path="../docs/decisions/0012-python-typeddict-options.md" />
+    <File Path="../docs/decisions/0013-python-get-response-simplification.md" />
+    <File Path="../docs/decisions/0014-feature-collections.md" />
     <File Path="../docs/decisions/adr-short-template.md" />
     <File Path="../docs/decisions/adr-template.md" />
     <File Path="../docs/decisions/README.md" />
@@ -395,6 +423,7 @@
     <Project Path="src/Microsoft.Agents.AI.Purview/Microsoft.Agents.AI.Purview.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows.Declarative.AzureAI/Microsoft.Agents.AI.Workflows.Declarative.AzureAI.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows.Declarative/Microsoft.Agents.AI.Workflows.Declarative.csproj" />
+    <Project Path="src/Microsoft.Agents.AI.Workflows.Generators/Microsoft.Agents.AI.Workflows.Generators.csproj" />
     <Project Path="src/Microsoft.Agents.AI.Workflows/Microsoft.Agents.AI.Workflows.csproj" />
     <Project Path="src/Microsoft.Agents.AI/Microsoft.Agents.AI.csproj" />
   </Folder>
@@ -435,6 +464,7 @@
     <Project Path="tests/Microsoft.Agents.AI.Purview.UnitTests/Microsoft.Agents.AI.Purview.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.UnitTests/Microsoft.Agents.AI.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests/Microsoft.Agents.AI.Workflows.Declarative.UnitTests.csproj" />
+    <Project Path="tests/Microsoft.Agents.AI.Workflows.Generators.UnitTests/Microsoft.Agents.AI.Workflows.Generators.UnitTests.csproj" />
     <Project Path="tests/Microsoft.Agents.AI.Workflows.UnitTests/Microsoft.Agents.AI.Workflows.UnitTests.csproj" />
   </Folder>
 </Solution>

dotnet/nuget.config

@@ -3,10 +3,14 @@
   <packageSources>
     <clear />
     <add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
+    <add key="LocalNugetSource" value="C:\LocalNugetSource" />
   </packageSources>
   <packageSourceMapping>
     <packageSource key="nuget.org">
       <package pattern="*" />
     </packageSource>
+    <packageSource key="LocalNugetSource">
+      <package pattern="*" />
+    </packageSource>
   </packageSourceMapping>
 </configuration>

dotnet/nuget/nuget-package.props

@@ -2,9 +2,9 @@
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
     <VersionPrefix>1.0.0</VersionPrefix>
-    <PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260108.1</PackageVersion>
-    <PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260108.1</PackageVersion>
-    <GitTag>1.0.0-preview.260108.1</GitTag>
+    <PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260121.1</PackageVersion>
+    <PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260121.1</PackageVersion>
+    <GitTag>1.0.0-preview.260121.1</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

dotnet/samples/AzureFunctions/.editorconfig

@@ -8,3 +8,6 @@ dotnet_diagnostic.DURABLE0003.severity = none
 dotnet_diagnostic.DURABLE0004.severity = none
 dotnet_diagnostic.DURABLE0005.severity = none
 dotnet_diagnostic.DURABLE0006.severity = none
+
+# CA1812: Internal classes are instantiated via dependency injection or reflection in samples
+dotnet_diagnostic.CA1812.severity = none

dotnet/samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj

@@ -6,8 +6,8 @@
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
     <!-- The Functions build tools don't like namespaces that start with a number -->
-    <AssemblyName>SingleAgent</AssemblyName>
-    <RootNamespace>SingleAgent</RootNamespace>
+    <AssemblyName>Workflow</AssemblyName>
+    <RootNamespace>Workflow</RootNamespace>
   </PropertyGroup>
 
   <ItemGroup>

dotnet/samples/AzureFunctions/01_SingleAgent/demo.http

@@ -5,4 +5,4 @@
 POST {{authority}}/api/agents/Joker/run
 Content-Type: text/plain
 
-Tell me a joke about a pirate.
+Hello world

dotnet/samples/AzureFunctions/09_Workflow/09_Workflow.csproj

@@ -0,0 +1,44 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </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.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/09_Workflow/OrderProcessingExecutors.cs

@@ -0,0 +1,67 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Parses an Order ID from a string input and returns an Order object populated.
+/// </summary>
+internal sealed class OrderLookup() : Executor<string, Order>("OrderLookup")
+{
+    public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Populate Order information from OrderId.
+        return new Order(message, 100.0m);
+    }
+}
+
+/// <summary>
+/// Enriches an Order object with additional information.
+/// </summary>
+internal sealed class OrderEnrich() : Executor<Order, Order>("EnrichOrder")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        if (message.Customer is null)
+        {
+            // populate customer information for the order from database.
+            message.Customer = new Customer(1, "Jerry");
+        }
+
+        return message;
+    }
+}
+
+internal sealed class PaymentProcessor() : Executor<Order, Order>("ProcessPayment")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        message.PaymentReferenceNumber = Guid.NewGuid().ToString()[^4..];
+
+        return message;
+    }
+}
+
+internal sealed class OrderCancel() : Executor<Order, string>("OrderCancel")
+{
+    public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        return $"Order {message.Id} cancelled at {DateTime.UtcNow:g} UTC.";
+    }
+}
+
+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);

dotnet/samples/AzureFunctions/09_Workflow/Program.cs

@@ -0,0 +1,48 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using SingleAgent;
+
+Func<string, string> orderParserFunc = input =>
+{
+    // We accept both short ordereId(Ex:12345) and long order reference number(MSFT12345)
+    // OrderId is the last 5 digigs of order reference number.
+    const int OrderIdPartLength = 5;
+    if (input.Length > OrderIdPartLength)
+    {
+        return input[^OrderIdPartLength..];
+    }
+
+    return input;
+};
+var orderParserExecutor = orderParserFunc.BindAsExecutor("ParseOrderId");
+
+OrderLookup orderLookupExecutor = new();
+OrderEnrich orderEnricherExeecutor = new();
+PaymentProcessor paymentProcessorExecutor = new();
+
+Workflow fulfillOrder = new WorkflowBuilder(orderParserExecutor)
+    .WithName("FulfillOrder")
+    .WithDescription("Looks up an order by ID and run payment processing")
+    .AddEdge(orderParserExecutor, orderLookupExecutor)
+    .AddEdge(orderLookupExecutor, orderEnricherExeecutor)
+    .AddEdge(orderEnricherExeecutor, paymentProcessorExecutor)
+    .Build();
+
+//OrderCancel orderArchiverExecutor = new();
+//Workflow cancelOrder = new WorkflowBuilder(orderParserExecutor)
+//    .WithName("CancelOrder")
+//    .WithDescription("Cancel an order")
+//    .AddEdge(orderParserExecutor, orderLookupExecutor)
+//    .AddEdge(orderLookupExecutor, orderArchiverExecutor)
+//    .Build();
+
+var host = FunctionsApplication.CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options => options.Workflows.AddWorkflow(fulfillOrder))
+    .Build();
+
+host.Run();

dotnet/samples/AzureFunctions/09_Workflow/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/09_Workflow/demo.http

@@ -0,0 +1,14 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Look up a long order reference id
+POST {{authority}}/api/workflows/FulfillOrder/run
+Content-Type: text/plain
+
+QWERTY80853
+
+### Look up a short order id
+POST {{authority}}/api/workflows/CancelOrder/run
+Content-Type: text/plain
+
+12345

dotnet/samples/AzureFunctions/09_Workflow/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/10_WorkflowConcurrent.csproj

@@ -0,0 +1,48 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Include="local.settings.json" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </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.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/ConcurrentStartExecutor.cs

@@ -0,0 +1,38 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+internal sealed class ConcurrentStartExecutor() : Executor<string, string>("ConcurrentStartExecutor")
+{
+    public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // do some initial parsing and validation of the message.
+        // Return a polished version ith additional metadta.
+        if (!message.StartsWith("Query for the agent:", StringComparison.OrdinalIgnoreCase))
+        {
+            message = "Query for the agent: " + message;
+        }
+
+        return ValueTask.FromResult(message);
+    }
+}
+
+internal sealed class ResultAggregationExecutor() : Executor<string[], string>("ResultAggregationExecutor")
+{
+    /// <summary>
+    /// Handles incoming messages from the agents and aggregates their responses.
+    /// </summary>
+    /// <param name="message">The messages from the parallel agents.</param>
+    /// <param name="context">Workflow context for accessing workflow services and adding events.</param>
+    /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.
+    /// The default is <see cref="CancellationToken.None"/>.</param>
+    /// <returns>A task representing the asynchronous operation.</returns>
+    public override ValueTask<string> HandleAsync(string[] message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Aggregate all responses from parallel executors
+        string aggregatedResponse = string.Join("\n---\n", message);
+        return ValueTask.FromResult($"Aggregated {message.Length} responses:\n{aggregatedResponse}");
+    }
+}

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/Program.cs

@@ -0,0 +1,48 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.Hosting;
+using OpenAI.Chat;
+using SingleAgent;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+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.");
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+AIAgent physicist = client.GetChatClient(deploymentName).AsAIAgent("You are an expert in physics. You answer questions from a physics perspective.", "Physicist");
+AIAgent chemist = client.GetChatClient(deploymentName).AsAIAgent("You are an expert in chemistry. You answer questions from a chemistry perspective.", "Chemist");
+
+var startExecutor = new ConcurrentStartExecutor();
+var aggregationExecutor = new ResultAggregationExecutor();
+
+var workflow = new WorkflowBuilder(startExecutor)
+    .WithName("ExpertReview")
+    .AddFanOutEdge(startExecutor, [physicist, chemist])
+    .AddFanInEdge([physicist, chemist], aggregationExecutor)
+    .Build();
+
+var host = FunctionsApplication.CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options =>
+    {
+        // Configure workflows
+        options.Workflows.AddWorkflow(workflow);
+    })
+    .Build();
+
+host.Run();

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/ResponseRouterExecutor.cs

@@ -0,0 +1,27 @@
+//// Copyright (c) Microsoft. All rights reserved.
+
+//using Microsoft.Agents.AI.Workflows;
+
+//namespace SingleAgent;
+
+///// <summary>
+///// Routes survey responses to appropriate teams based on rating and category.
+///// </summary>
+//public sealed class ResponseRouterExecutor() : Executor<string, string>("ResponseRouterExecutor")
+//{
+//    public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+//    {
+//        if (message.Contains("billing", StringComparison.OrdinalIgnoreCase))
+//        {
+//            return ValueTask.FromResult("Routed to Billing Team");
+//        }
+//        else if (message.Contains("technical", StringComparison.OrdinalIgnoreCase))
+//        {
+//            return ValueTask.FromResult("Routed to Technical Support Team");
+//        }
+//        else
+//        {
+//            return ValueTask.FromResult("Routed to General Support Team");
+//        }
+//    }
+//}

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/SurveyResponseParserExecutor.cs

@@ -0,0 +1,82 @@
+//// Copyright (c) Microsoft. All rights reserved.
+
+//using System.Text.Json;
+//using System.Text.RegularExpressions;
+//using Microsoft.Agents.AI.Workflows;
+
+//namespace SingleAgent;
+
+///// <summary>
+///// This executor parses survey responses and produces structured output.
+///// Example input: "Rating: 8. The app is good but checkout process is confusing."
+///// </summary>
+//[System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by workflow framework")]
+//internal sealed partial class SurveyResponseParserExecutor() : Executor<string, string>("SurveyResponseParserExecutor")
+//{
+//    private static readonly JsonSerializerOptions s_jsonOptions = new()
+//    {
+//        WriteIndented = true
+//    };
+
+//    [GeneratedRegex(@"Rating:\s*(\d+)", RegexOptions.IgnoreCase)]
+//    private static partial Regex RatingRegex();
+
+//    public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+//    {
+//        SurveyResponse response = this.ParseSurveyResponse(message);
+//        string jsonResult = JsonSerializer.Serialize(response, s_jsonOptions);
+//        return ValueTask.FromResult(jsonResult);
+//    }
+
+//    private SurveyResponse ParseSurveyResponse(string message)
+//    {
+//        // Parse the message to extract rating and comment
+//        int? rating = null;
+//        string comment = message;
+
+//        // Try to extract rating using pattern "Rating: {number}"
+//        Match ratingMatch = RatingRegex().Match(message);
+//        if (ratingMatch.Success && int.TryParse(ratingMatch.Groups[1].Value, out int parsedRating))
+//        {
+//            rating = parsedRating;
+
+//            // Remove the rating part from the message to get the comment
+//            // Find the position after the rating number
+//            int ratingEndIndex = ratingMatch.Index + ratingMatch.Length;
+
+//            // Skip any separators (period, comma, dash, etc.) and whitespace
+//            while (ratingEndIndex < message.Length &&
+//                   (char.IsWhiteSpace(message[ratingEndIndex]) ||
+//                    message[ratingEndIndex] == '.' ||
+//                    message[ratingEndIndex] == ',' ||
+//                    message[ratingEndIndex] == '-'))
+//            {
+//                ratingEndIndex++;
+//            }
+
+//            if (ratingEndIndex < message.Length)
+//            {
+//                comment = message[ratingEndIndex..].Trim();
+//            }
+//            else
+//            {
+//                comment = string.Empty;
+//            }
+//        }
+
+//        // Create and return the structured response
+//        return new SurveyResponse
+//        {
+//            Rating = rating,
+//            Comment = comment,
+//            OriginalMessage = message
+//        };
+//    }
+
+//    private sealed class SurveyResponse
+//    {
+//        public int? Rating { get; set; }
+//        public string Comment { get; set; } = string.Empty;
+//        public string OriginalMessage { get; set; } = string.Empty;
+//    }
+//}

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/demo.http

@@ -0,0 +1,8 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Start the workflow
+POST {{authority}}/api/workflows/ExpertReview/run
+Content-Type: text/plain
+
+What is temperature?

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/11_WorkflowSharedState/11_WorkflowSharedState.csproj

@@ -0,0 +1,48 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Include="local.settings.json" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </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.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/11_WorkflowSharedState/OrderIdParserExecutor.cs

@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use durable state management in Azure Functions workflows.
+// The OrderIdParserExecutor writes a value to shared state, and the EmailSenderExecutor reads it back.
+// The state is persisted durably using Durable Entities behind the scenes.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Constants for shared state scopes used across executors.
+/// </summary>
+internal static class SharedStateConstants
+{
+    public const string MessageScope = "MessageState";
+    public const string ProcessedMessageKey = "ProcessedMessage";
+}
+
+public sealed class Order
+{
+    public Order(string id, decimal amount)
+    {
+        this.Id = id;
+        this.Amount = amount;
+    }
+    public string Id { get; }
+    public decimal Amount { get; }
+    public string? PaymentReferenceNumber { get; set; }
+}
+
+/// <summary>
+/// First executor that processes a message and stores the result in shared state.
+/// </summary>
+internal sealed class OrderIdParserExecutor() : Executor<string, Order>("OrderIdParserExecutor")
+{
+    public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Process the message
+        string processedMessage = $"Processed: {message}";
+
+        // Store the processed message in shared state for the next executor
+        await context.QueueStateUpdateAsync(
+            SharedStateConstants.ProcessedMessageKey,
+            processedMessage,
+            SharedStateConstants.MessageScope,
+            cancellationToken);
+
+        return GetOrder(message);
+    }
+
+    private static Order GetOrder(string id)
+    {
+        // Simulate fetching order details
+        return new Order(id, 100.0m);
+    }
+}
+
+/// <summary>
+/// Second executor that reads the shared state and appends to the message.
+/// </summary>
+internal sealed class EmailSenderExecutor() : Executor<Order, string>("EmailSenderExecutor")
+{
+    public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Read the processed message from shared state (written by OrderIdParserExecutor)
+        string? storedMessage = await context.ReadStateAsync<string>(
+            SharedStateConstants.ProcessedMessageKey,
+            SharedStateConstants.MessageScope,
+            cancellationToken);
+
+        // Combine with the input message
+        return storedMessage is not null
+            ? $"From state: [{storedMessage}] | Input: [{message.Id}]"
+            : $"No state found | Input: [{message.Id}]";
+    }
+}
+
+internal sealed class PaymentProcesserExecutor() : Executor<Order, Order>("PaymentProcesserExecutor")
+{
+    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;
+    }
+}

dotnet/samples/AzureFunctions/11_WorkflowSharedState/Program.cs

@@ -0,0 +1,23 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using SingleAgent;
+
+// Set up an AI agent following the standard Microsoft Agent Framework pattern.
+
+OrderIdParserExecutor orderParser = new();
+PaymentProcesserExecutor paymentProcessor = new();
+EmailSenderExecutor emailSender = new();
+
+WorkflowBuilder builder = new(orderParser);
+builder.AddEdge(orderParser, paymentProcessor);
+builder.AddEdge(paymentProcessor, emailSender).WithOutputFrom(emailSender);
+var workflow = builder.WithName("ProcessOrder").Build();
+
+FunctionsApplication.CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options => options.Workflows.AddWorkflow(workflow))
+    .Build().Run();

dotnet/samples/AzureFunctions/11_WorkflowSharedState/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/11_WorkflowSharedState/demo.http

@@ -0,0 +1,14 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Start the workflow
+POST {{authority}}/api/workflows/ProcessOrder/run
+Content-Type: text/plain
+
+123
+
+### Start second workflow
+POST {{authority}}/api/workflows/ProcessOrder/run
+Content-Type: text/plain
+
+456

dotnet/samples/AzureFunctions/11_WorkflowSharedState/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/12_ConditionalEdges/12_ConditionalEdges.csproj

@@ -0,0 +1,51 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Include="local.settings.json">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+      <CopyToPublishDirectory>Never</CopyToPublishDirectory>
+    </None>
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </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.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/12_ConditionalEdges/OrderIdParserExecutor.cs

@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use durable state management in Azure Functions workflows.
+// The OrderIdParserExecutor writes a value to shared state, and the FraudValidation reads it back.
+// The state is persisted durably using Durable Entities behind the scenes.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Constants for shared state scopes used across executors.
+/// </summary>
+internal static class SharedStateConstants
+{
+    public const string MessageScope = "MessageState";
+    public const string ProcessedMessageKey = "ProcessedMessage";
+}
+
+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 OrderIdParserExecutor() : Executor<string, Order>("OrderIdParserExecutor")
+{
+    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 PaymentProcesserExecutor() : Executor<Order, Order>("PaymentProcesserExecutor")
+{
+    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 NotifyFraudExecutor() : 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;
+}

dotnet/samples/AzureFunctions/12_ConditionalEdges/Program.cs

@@ -0,0 +1,26 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using SingleAgent;
+
+OrderIdParserExecutor orderParser = new();
+OrderEnrich orderEnrich = new();
+PaymentProcesserExecutor paymentProcessor = new();
+NotifyFraudExecutor notifyFraud = new();
+
+WorkflowBuilder builder = new(orderParser);
+builder
+    .AddEdge(orderParser, orderEnrich)
+    .AddEdge(orderEnrich, notifyFraud, condition: OrderRouteConditions.WhenBlocked())
+    .AddEdge(orderEnrich, paymentProcessor, condition: OrderRouteConditions.WhenNotBlocked());
+
+var workflow = builder.WithName("AuditOrder").Build();
+
+FunctionsApplication.CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options => options.Workflows.AddWorkflow(workflow))
+    .Build()
+    .Run();

dotnet/samples/AzureFunctions/12_ConditionalEdges/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/12_ConditionalEdges/demo.http

@@ -0,0 +1,14 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Start the workflow
+POST {{authority}}/api/workflows/ProcessOrder/run
+Content-Type: text/plain
+
+B123
+
+### Start second workflow
+POST {{authority}}/api/workflows/ProcessOrder/run
+Content-Type: text/plain
+
+456

dotnet/samples/AzureFunctions/12_ConditionalEdges/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/DurableAgents/ConsoleApps/01_SingleAgent/01_SingleAgent.csproj

@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <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.OpenAI" />
+  </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>

dotnet/samples/DurableAgents/ConsoleApps/01_SingleAgent/Program.cs

@@ -0,0 +1,103 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+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.");
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Set up an AI agent following the standard Microsoft Agent Framework pattern.
+const string JokerName = "Joker";
+const string JokerInstructions = "You are good at telling jokes.";
+
+AIAgent agent = client.GetChatClient(deploymentName).AsAIAgent(JokerInstructions, JokerName);
+
+// Configure the console app to host the AI agent.
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableAgents(
+            options => options.AddAIAgent(agent, timeToLive: TimeSpan.FromHours(1)),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the agent proxy from services
+IServiceProvider services = host.Services;
+AIAgent agentProxy = services.GetRequiredKeyedService<AIAgent>(JokerName);
+
+// Console colors for better UX
+Console.ForegroundColor = ConsoleColor.Cyan;
+Console.WriteLine("=== Single Agent Console Sample ===");
+Console.ResetColor();
+Console.WriteLine("Enter a message for the Joker agent (or 'exit' to quit):");
+Console.WriteLine();
+
+// Create a thread for the conversation
+AgentThread thread = await agentProxy.GetNewThreadAsync();
+
+while (true)
+{
+    // Read input from stdin
+    Console.ForegroundColor = ConsoleColor.Yellow;
+    Console.Write("You: ");
+    Console.ResetColor();
+
+    string? input = Console.ReadLine();
+    if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
+    {
+        break;
+    }
+
+    // Run the agent
+    Console.ForegroundColor = ConsoleColor.Green;
+    Console.Write("Joker: ");
+    Console.ResetColor();
+
+    try
+    {
+        AgentResponse agentResponse = await agentProxy.RunAsync(
+            message: input,
+            thread: thread,
+            cancellationToken: CancellationToken.None);
+
+        Console.WriteLine(agentResponse.Text);
+        Console.WriteLine();
+    }
+    catch (Exception ex)
+    {
+        Console.ForegroundColor = ConsoleColor.Red;
+        Console.Error.WriteLine($"Error: {ex.Message}");
+        Console.ResetColor();
+        Console.WriteLine();
+    }
+}
+
+await host.StopAsync();

dotnet/samples/DurableAgents/ConsoleApps/01_SingleAgent/README.md

@@ -0,0 +1,56 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the durable agents extension to create a simple console app that hosts a single AI agent and provides interactive conversation via stdin/stdout.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering durable agents with the console app and running them interactively.
+- Conversation management (via threads) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/01_SingleAgent
+dotnet run --framework net10.0
+```
+
+The app will prompt you for input. You can interact with the Joker agent:
+
+```text
+=== Single Agent Console Sample ===
+Enter a message for the Joker agent (or 'exit' to quit):
+
+You: Tell me a joke about a pirate.
+Joker: Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+
+You: Now explain the joke.
+Joker: The joke plays on the word "sea" (C), which pirates are famously associated with...
+
+You: exit
+```
+
+## Scriptable Usage
+
+You can also pipe input to the app for scriptable usage:
+
+```bash
+echo "Tell me a joke about a pirate." | dotnet run
+```
+
+The app will read from stdin, process the input, and write the response to stdout.
+
+## Viewing Agent State
+
+You can view the state of the agent in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can view the state of the Joker agent, including its conversation history and current state
+
+The agent maintains conversation state across multiple interactions, and you can inspect this state in the dashboard to understand how the durable agents extension manages conversation context.

dotnet/samples/DurableAgents/ConsoleApps/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj

@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>AgentOrchestration_Chaining</AssemblyName>
+    <RootNamespace>AgentOrchestration_Chaining</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <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.OpenAI" />
+  </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>

dotnet/samples/DurableAgents/ConsoleApps/02_AgentOrchestration_Chaining/Models.cs

@@ -0,0 +1,6 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace AgentOrchestration_Chaining;
+
+// Response model
+public sealed record TextResponse(string Text);

dotnet/samples/DurableAgents/ConsoleApps/02_AgentOrchestration_Chaining/Program.cs

@@ -0,0 +1,148 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using AgentOrchestration_Chaining;
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+using Environment = System.Environment;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+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.");
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Single agent used by the orchestration to demonstrate sequential calls on the same thread.
+const string WriterName = "WriterAgent";
+const string WriterInstructions =
+    """
+    You refine short pieces of text. When given an initial sentence you enhance it;
+    when given an improved sentence you polish it further.
+    """;
+
+AIAgent writerAgent = client.GetChatClient(deploymentName).AsAIAgent(WriterInstructions, WriterName);
+
+// Orchestrator function
+static async Task<string> RunOrchestratorAsync(TaskOrchestrationContext context)
+{
+    DurableAIAgent writer = context.GetAgent("WriterAgent");
+    AgentThread writerThread = await writer.GetNewThreadAsync();
+
+    AgentResponse<TextResponse> initial = await writer.RunAsync<TextResponse>(
+        message: "Write a concise inspirational sentence about learning.",
+        thread: writerThread);
+
+    AgentResponse<TextResponse> refined = await writer.RunAsync<TextResponse>(
+        message: $"Improve this further while keeping it under 25 words: {initial.Result.Text}",
+        thread: writerThread);
+
+    return refined.Result.Text;
+}
+
+// Configure the console app to host the AI agent.
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(loggingBuilder => loggingBuilder.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableAgents(
+            options => options.AddAIAgent(writerAgent),
+            workerBuilder: builder =>
+            {
+                builder.UseDurableTaskScheduler(dtsConnectionString);
+                builder.AddTasks(registry => registry.AddOrchestratorFunc(nameof(RunOrchestratorAsync), RunOrchestratorAsync));
+            },
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+DurableTaskClient durableClient = host.Services.GetRequiredService<DurableTaskClient>();
+
+// Console colors for better UX
+Console.ForegroundColor = ConsoleColor.Cyan;
+Console.WriteLine("=== Single Agent Orchestration Chaining Sample ===");
+Console.ResetColor();
+Console.WriteLine("Starting orchestration...");
+Console.WriteLine();
+
+try
+{
+    // Start the orchestration
+    string instanceId = await durableClient.ScheduleNewOrchestrationInstanceAsync(
+        orchestratorName: nameof(RunOrchestratorAsync));
+
+    Console.ForegroundColor = ConsoleColor.Gray;
+    Console.WriteLine($"Orchestration started with instance ID: {instanceId}");
+    Console.WriteLine("Waiting for completion...");
+    Console.ResetColor();
+
+    // Wait for orchestration to complete
+    OrchestrationMetadata status = await durableClient.WaitForInstanceCompletionAsync(
+        instanceId,
+        getInputsAndOutputs: true,
+        CancellationToken.None);
+
+    Console.WriteLine();
+
+    if (status.RuntimeStatus == OrchestrationRuntimeStatus.Completed)
+    {
+        Console.ForegroundColor = ConsoleColor.Green;
+        Console.WriteLine("✓ Orchestration completed successfully!");
+        Console.ResetColor();
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.Write("Result: ");
+        Console.ResetColor();
+        Console.WriteLine(status.ReadOutputAs<string>());
+    }
+    else if (status.RuntimeStatus == OrchestrationRuntimeStatus.Failed)
+    {
+        Console.ForegroundColor = ConsoleColor.Red;
+        Console.WriteLine("✗ Orchestration failed!");
+        Console.ResetColor();
+        if (status.FailureDetails != null)
+        {
+            Console.WriteLine($"Error: {status.FailureDetails.ErrorMessage}");
+        }
+        Environment.Exit(1);
+    }
+    else
+    {
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"Orchestration status: {status.RuntimeStatus}");
+        Console.ResetColor();
+    }
+}
+catch (Exception ex)
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine($"Error: {ex.Message}");
+    Console.ResetColor();
+    Environment.Exit(1);
+}
+finally
+{
+    await host.StopAsync();
+}

dotnet/samples/DurableAgents/ConsoleApps/02_AgentOrchestration_Chaining/README.md

@@ -0,0 +1,53 @@
+# Single Agent Orchestration Sample
+
+This sample demonstrates how to use the durable agents extension to create a simple console app that orchestrates sequential calls to a single AI agent using the same conversation thread for context continuity.
+
+## Key Concepts Demonstrated
+
+- Orchestrating multiple interactions with the same agent in a deterministic order
+- Using the same `AgentThread` across multiple calls to maintain conversational context
+- Durable orchestration with automatic checkpointing and resumption from failures
+- Waiting for orchestration completion using `WaitForInstanceCompletionAsync`
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/02_AgentOrchestration_Chaining
+dotnet run --framework net10.0
+```
+
+The app will start the orchestration, wait for it to complete, and display the result:
+
+```text
+=== Single Agent Orchestration Chaining Sample ===
+Starting orchestration...
+
+Orchestration started with instance ID: 86313f1d45fb42eeb50b1852626bf3ff
+Waiting for completion...
+
+✓ Orchestration completed successfully!
+
+Result: Learning serves as the key, opening doors to boundless opportunities and a brighter future.
+```
+
+The orchestration will proceed to run the WriterAgent twice in sequence:
+
+1. First, it writes an inspirational sentence about learning
+2. Then, it refines the initial output using the same conversation thread
+
+## Viewing Orchestration State
+
+You can view the state of the orchestration in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can see:
+   - **Orchestrations**: View the orchestration instance, including its runtime status, input, output, and execution history
+   - **Agents**: View the state of the WriterAgent, including conversation history maintained across the orchestration steps
+
+The orchestration instance ID is displayed in the console output. You can use this ID to find the specific orchestration in the dashboard and inspect its execution details, including the sequence of agent calls and their results.

dotnet/samples/DurableAgents/ConsoleApps/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj

@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>AgentOrchestration_Concurrency</AssemblyName>
+    <RootNamespace>AgentOrchestration_Concurrency</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <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.OpenAI" />
+  </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>

dotnet/samples/DurableAgents/ConsoleApps/03_AgentOrchestration_Concurrency/Models.cs

@@ -0,0 +1,6 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace AgentOrchestration_Concurrency;
+
+// Response model
+public sealed record TextResponse(string Text);

dotnet/samples/DurableAgents/ConsoleApps/03_AgentOrchestration_Concurrency/Program.cs

@@ -0,0 +1,191 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json;
+using AgentOrchestration_Concurrency;
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+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.");
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Two agents used by the orchestration to demonstrate concurrent execution.
+const string PhysicistName = "PhysicistAgent";
+const string PhysicistInstructions = "You are an expert in physics. You answer questions from a physics perspective.";
+
+const string ChemistName = "ChemistAgent";
+const string ChemistInstructions = "You are a middle school chemistry teacher. You answer questions so that middle school students can understand.";
+
+AIAgent physicistAgent = client.GetChatClient(deploymentName).AsAIAgent(PhysicistInstructions, PhysicistName);
+AIAgent chemistAgent = client.GetChatClient(deploymentName).AsAIAgent(ChemistInstructions, ChemistName);
+
+// Orchestrator function
+static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context, string prompt)
+{
+    // Get both agents
+    DurableAIAgent physicist = context.GetAgent(PhysicistName);
+    DurableAIAgent chemist = context.GetAgent(ChemistName);
+
+    // Start both agent runs concurrently
+    Task<AgentResponse<TextResponse>> physicistTask = physicist.RunAsync<TextResponse>(prompt);
+    Task<AgentResponse<TextResponse>> chemistTask = chemist.RunAsync<TextResponse>(prompt);
+
+    // Wait for both tasks to complete using Task.WhenAll
+    await Task.WhenAll(physicistTask, chemistTask);
+
+    // Get the results
+    TextResponse physicistResponse = (await physicistTask).Result;
+    TextResponse chemistResponse = (await chemistTask).Result;
+
+    // Return the result as a structured, anonymous type
+    return new
+    {
+        physicist = physicistResponse.Text,
+        chemist = chemistResponse.Text,
+    };
+}
+
+// Configure the console app to host the AI agents.
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(loggingBuilder => loggingBuilder.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableAgents(
+            options =>
+            {
+                options
+                    .AddAIAgent(physicistAgent)
+                    .AddAIAgent(chemistAgent);
+            },
+            workerBuilder: builder =>
+            {
+                builder.UseDurableTaskScheduler(dtsConnectionString);
+                builder.AddTasks(
+                    registry => registry.AddOrchestratorFunc<string, object>(nameof(RunOrchestratorAsync), RunOrchestratorAsync));
+            },
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+DurableTaskClient durableTaskClient = host.Services.GetRequiredService<DurableTaskClient>();
+
+// Console colors for better UX
+Console.ForegroundColor = ConsoleColor.Cyan;
+Console.WriteLine("=== Multi-Agent Concurrent Orchestration Sample ===");
+Console.ResetColor();
+Console.WriteLine("Enter a question for the agents:");
+Console.WriteLine();
+
+// Read prompt from stdin
+string? prompt = Console.ReadLine();
+if (string.IsNullOrWhiteSpace(prompt))
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine("Error: Prompt is required.");
+    Console.ResetColor();
+    Environment.Exit(1);
+    return;
+}
+
+Console.WriteLine();
+Console.ForegroundColor = ConsoleColor.Gray;
+Console.WriteLine("Starting orchestration...");
+Console.ResetColor();
+
+try
+{
+    // Start the orchestration
+    string instanceId = await durableTaskClient.ScheduleNewOrchestrationInstanceAsync(
+        orchestratorName: nameof(RunOrchestratorAsync),
+        input: prompt);
+
+    Console.ForegroundColor = ConsoleColor.Gray;
+    Console.WriteLine($"Orchestration started with instance ID: {instanceId}");
+    Console.WriteLine("Waiting for completion...");
+    Console.ResetColor();
+
+    // Wait for orchestration to complete
+    OrchestrationMetadata status = await durableTaskClient.WaitForInstanceCompletionAsync(
+        instanceId,
+        getInputsAndOutputs: true,
+        CancellationToken.None);
+
+    Console.WriteLine();
+
+    if (status.RuntimeStatus == OrchestrationRuntimeStatus.Completed)
+    {
+        Console.ForegroundColor = ConsoleColor.Green;
+        Console.WriteLine("✓ Orchestration completed successfully!");
+        Console.ResetColor();
+        Console.WriteLine();
+
+        // Parse the output
+        using JsonDocument doc = JsonDocument.Parse(status.SerializedOutput!);
+        JsonElement output = doc.RootElement;
+
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine("Physicist's response:");
+        Console.ResetColor();
+        Console.WriteLine(output.GetProperty("physicist").GetString());
+        Console.WriteLine();
+
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine("Chemist's response:");
+        Console.ResetColor();
+        Console.WriteLine(output.GetProperty("chemist").GetString());
+    }
+    else if (status.RuntimeStatus == OrchestrationRuntimeStatus.Failed)
+    {
+        Console.ForegroundColor = ConsoleColor.Red;
+        Console.WriteLine("✗ Orchestration failed!");
+        Console.ResetColor();
+        if (status.FailureDetails != null)
+        {
+            Console.WriteLine($"Error: {status.FailureDetails.ErrorMessage}");
+        }
+        Environment.Exit(1);
+    }
+    else
+    {
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"Orchestration status: {status.RuntimeStatus}");
+        Console.ResetColor();
+    }
+}
+catch (Exception ex)
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine($"Error: {ex.Message}");
+    Console.ResetColor();
+    Environment.Exit(1);
+}
+finally
+{
+    await host.StopAsync();
+}

dotnet/samples/DurableAgents/ConsoleApps/03_AgentOrchestration_Concurrency/README.md

@@ -0,0 +1,68 @@
+# Multi-Agent Concurrent Orchestration Sample
+
+This sample demonstrates how to use the durable agents extension to create a console app that orchestrates concurrent execution of multiple AI agents using durable orchestration.
+
+## Key Concepts Demonstrated
+
+- Running multiple agents concurrently in a single orchestration
+- Using `Task.WhenAll` to wait for concurrent agent executions
+- Combining results from multiple agents into a single response
+- Waiting for orchestration completion using `WaitForInstanceCompletionAsync`
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/03_AgentOrchestration_Concurrency
+dotnet run --framework net10.0
+```
+
+The app will prompt you for a question:
+
+```text
+=== Multi-Agent Concurrent Orchestration Sample ===
+Enter a question for the agents:
+
+What is temperature?
+```
+
+The orchestration will run both agents concurrently and display their responses:
+
+```text
+Orchestration started with instance ID: 86313f1d45fb42eeb50b1852626bf3ff
+Waiting for completion...
+
+✓ Orchestration completed successfully!
+
+Physicist's response:
+Temperature is a measure of the average kinetic energy of particles in a system...
+
+Chemist's response:
+From a chemistry perspective, temperature is crucial for chemical reactions...
+```
+
+Both agents run in parallel, and the orchestration waits for both to complete before returning the combined results.
+
+## Viewing Orchestration State
+
+You can view the state of the orchestration in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can see:
+   - **Orchestrations**: View the orchestration instance, including its runtime status, input, output, and execution history
+   - **Agents**: View the state of both the PhysicistAgent and ChemistAgent, including their individual conversation histories
+
+The orchestration instance ID is displayed in the console output. You can use this ID to find the specific orchestration in the dashboard and inspect how the concurrent agent executions were coordinated, including the timing of when each agent started and completed.
+
+## Scriptable Usage
+
+You can also pipe input to the app:
+
+```bash
+echo "What is temperature?" | dotnet run
+```

dotnet/samples/DurableAgents/ConsoleApps/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj

@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>AgentOrchestration_Conditionals</AssemblyName>
+    <RootNamespace>AgentOrchestration_Conditionals</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <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.OpenAI" />
+  </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>

dotnet/samples/DurableAgents/ConsoleApps/04_AgentOrchestration_Conditionals/Models.cs

@@ -0,0 +1,38 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AgentOrchestration_Conditionals;
+
+/// <summary>
+/// Represents an email input for spam detection and response generation.
+/// </summary>
+public sealed class Email
+{
+    [JsonPropertyName("email_id")]
+    public string EmailId { get; set; } = string.Empty;
+
+    [JsonPropertyName("email_content")]
+    public string EmailContent { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Represents the result of spam detection analysis.
+/// </summary>
+public sealed class DetectionResult
+{
+    [JsonPropertyName("is_spam")]
+    public bool IsSpam { get; set; }
+
+    [JsonPropertyName("reason")]
+    public string Reason { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Represents a generated email response.
+/// </summary>
+public sealed class EmailResponse
+{
+    [JsonPropertyName("response")]
+    public string Response { get; set; } = string.Empty;
+}

dotnet/samples/DurableAgents/ConsoleApps/04_AgentOrchestration_Conditionals/Program.cs

@@ -0,0 +1,228 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using AgentOrchestration_Conditionals;
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+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.");
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Spam detection agent
+const string SpamDetectionAgentName = "SpamDetectionAgent";
+const string SpamDetectionAgentInstructions =
+    """
+    You are an expert email spam detection system. Analyze emails and determine if they are spam.
+    Return your analysis as JSON with 'is_spam' (boolean) and 'reason' (string) fields.
+    """;
+
+// Email assistant agent
+const string EmailAssistantAgentName = "EmailAssistantAgent";
+const string EmailAssistantAgentInstructions =
+    """
+    You are a professional email assistant. Draft professional, courteous, and helpful email responses.
+    Return your response as JSON with a 'response' field containing the reply.
+    """;
+
+AIAgent spamDetectionAgent = client.GetChatClient(deploymentName).AsAIAgent(SpamDetectionAgentInstructions, SpamDetectionAgentName);
+AIAgent emailAssistantAgent = client.GetChatClient(deploymentName).AsAIAgent(EmailAssistantAgentInstructions, EmailAssistantAgentName);
+
+// Orchestrator function
+static async Task<string> RunOrchestratorAsync(TaskOrchestrationContext context, Email email)
+{
+    // Get the spam detection agent
+    DurableAIAgent spamDetectionAgent = context.GetAgent(SpamDetectionAgentName);
+    AgentThread spamThread = await spamDetectionAgent.GetNewThreadAsync();
+
+    // Step 1: Check if the email is spam
+    AgentResponse<DetectionResult> spamDetectionResponse = await spamDetectionAgent.RunAsync<DetectionResult>(
+        message:
+            $"""
+            Analyze this email for spam content and return a JSON response with 'is_spam' (boolean) and 'reason' (string) fields:
+            Email ID: {email.EmailId}
+            Content: {email.EmailContent}
+            """,
+        thread: spamThread);
+    DetectionResult result = spamDetectionResponse.Result;
+
+    // Step 2: Conditional logic based on spam detection result
+    if (result.IsSpam)
+    {
+        // Handle spam email
+        return await context.CallActivityAsync<string>(nameof(HandleSpamEmail), result.Reason);
+    }
+
+    // Generate and send response for legitimate email
+    DurableAIAgent emailAssistantAgent = context.GetAgent(EmailAssistantAgentName);
+    AgentThread emailThread = await emailAssistantAgent.GetNewThreadAsync();
+
+    AgentResponse<EmailResponse> emailAssistantResponse = await emailAssistantAgent.RunAsync<EmailResponse>(
+        message:
+            $"""
+            Draft a professional response to this email. Return a JSON response with a 'response' field containing the reply:
+            
+            Email ID: {email.EmailId}
+            Content: {email.EmailContent}
+            """,
+        thread: emailThread);
+
+    EmailResponse emailResponse = emailAssistantResponse.Result;
+
+    return await context.CallActivityAsync<string>(nameof(SendEmail), emailResponse.Response);
+}
+
+// Activity functions
+static void HandleSpamEmail(TaskActivityContext context, string reason)
+{
+    Console.WriteLine($"Email marked as spam: {reason}");
+}
+
+static void SendEmail(TaskActivityContext context, string message)
+{
+    Console.WriteLine($"Email sent: {message}");
+}
+
+// Configure the console app to host the AI agents.
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(loggingBuilder => loggingBuilder.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableAgents(
+            options =>
+            {
+                options
+                    .AddAIAgent(spamDetectionAgent)
+                    .AddAIAgent(emailAssistantAgent);
+            },
+            workerBuilder: builder =>
+            {
+                builder.UseDurableTaskScheduler(dtsConnectionString);
+                builder.AddTasks(registry =>
+                {
+                    registry.AddOrchestratorFunc<Email>(nameof(RunOrchestratorAsync), RunOrchestratorAsync);
+                    registry.AddActivityFunc<string>(nameof(HandleSpamEmail), HandleSpamEmail);
+                    registry.AddActivityFunc<string>(nameof(SendEmail), SendEmail);
+                });
+            },
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+DurableTaskClient durableTaskClient = host.Services.GetRequiredService<DurableTaskClient>();
+
+// Console colors for better UX
+Console.ForegroundColor = ConsoleColor.Cyan;
+Console.WriteLine("=== Multi-Agent Conditional Orchestration Sample ===");
+Console.ResetColor();
+Console.WriteLine("Enter email content:");
+Console.WriteLine();
+
+// Read email content from stdin
+string? emailContent = Console.ReadLine();
+if (string.IsNullOrWhiteSpace(emailContent))
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine("Error: Email content is required.");
+    Console.ResetColor();
+    Environment.Exit(1);
+    return;
+}
+
+// Generate email ID automatically
+Email email = new()
+{
+    EmailId = $"email-{Guid.NewGuid():N}",
+    EmailContent = emailContent
+};
+
+Console.WriteLine();
+Console.ForegroundColor = ConsoleColor.Gray;
+Console.WriteLine("Starting orchestration...");
+Console.ResetColor();
+
+try
+{
+    // Start the orchestration
+    string instanceId = await durableTaskClient.ScheduleNewOrchestrationInstanceAsync(
+        orchestratorName: nameof(RunOrchestratorAsync),
+        input: email);
+
+    Console.ForegroundColor = ConsoleColor.Gray;
+    Console.WriteLine($"Orchestration started with instance ID: {instanceId}");
+    Console.WriteLine("Waiting for completion...");
+    Console.ResetColor();
+
+    // Wait for orchestration to complete
+    OrchestrationMetadata status = await durableTaskClient.WaitForInstanceCompletionAsync(
+        instanceId,
+        getInputsAndOutputs: true,
+        CancellationToken.None);
+
+    Console.WriteLine();
+
+    if (status.RuntimeStatus == OrchestrationRuntimeStatus.Completed)
+    {
+        Console.ForegroundColor = ConsoleColor.Green;
+        Console.WriteLine("✓ Orchestration completed successfully!");
+        Console.ResetColor();
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.Write("Result: ");
+        Console.ResetColor();
+        Console.WriteLine(status.ReadOutputAs<string>());
+    }
+    else if (status.RuntimeStatus == OrchestrationRuntimeStatus.Failed)
+    {
+        Console.ForegroundColor = ConsoleColor.Red;
+        Console.WriteLine("✗ Orchestration failed!");
+        Console.ResetColor();
+        if (status.FailureDetails != null)
+        {
+            Console.WriteLine($"Error: {status.FailureDetails.ErrorMessage}");
+        }
+        Environment.Exit(1);
+    }
+    else
+    {
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"Orchestration status: {status.RuntimeStatus}");
+        Console.ResetColor();
+    }
+}
+catch (Exception ex)
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine($"Error: {ex.Message}");
+    Console.ResetColor();
+    Environment.Exit(1);
+}
+finally
+{
+    await host.StopAsync();
+}

dotnet/samples/DurableAgents/ConsoleApps/04_AgentOrchestration_Conditionals/README.md

@@ -0,0 +1,95 @@
+# Multi-Agent Conditional Orchestration Sample
+
+This sample demonstrates how to use the durable agents extension to create a console app that orchestrates multiple AI agents with conditional logic based on the results of previous agent interactions.
+
+## Key Concepts Demonstrated
+
+- Multi-agent orchestration with conditional branching
+- Using agent responses to determine workflow paths
+- Activity functions for non-agent operations
+- Waiting for orchestration completion using `WaitForInstanceCompletionAsync`
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/04_AgentOrchestration_Conditionals
+dotnet run --framework net10.0
+```
+
+The app will prompt you for email content. You can test both legitimate emails and spam emails:
+
+### Testing with a Legitimate Email
+
+```text
+=== Multi-Agent Conditional Orchestration Sample ===
+Enter email content:
+
+Hi John, I hope you're doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!
+```
+
+The orchestration will analyze the email and display the result:
+
+```text
+Orchestration started with instance ID: 86313f1d45fb42eeb50b1852626bf3ff
+Waiting for completion...
+
+✓ Orchestration completed successfully!
+
+Result: Email sent: Thank you for your email. I'll prepare the updated figures...
+```
+
+### Testing with a Spam Email
+
+```text
+=== Multi-Agent Conditional Orchestration Sample ===
+Enter email content:
+
+URGENT! You've won $1,000,000! Click here now to claim your prize! Limited time offer! Don't miss out!
+```
+
+The orchestration will detect it as spam and display:
+
+```text
+Orchestration started with instance ID: 86313f1d45fb42eeb50b1852626bf3ff
+Waiting for completion...
+
+✓ Orchestration completed successfully!
+
+Result: Email marked as spam: Contains suspicious claims about winning money and urgent action requests...
+```
+
+## Scriptable Usage
+
+You can also pipe email content to the app:
+
+```bash
+# Test with a legitimate email
+echo "Hi John, I hope you're doing well..." | dotnet run
+
+# Test with a spam email
+echo "URGENT! You've won $1,000,000! Click here now!" | dotnet run
+```
+
+The orchestration will proceed as follows:
+
+1. The SpamDetectionAgent analyzes the email to determine if it's spam
+2. Based on the result:
+   - If spam: The orchestration calls the `HandleSpamEmail` activity function
+   - If not spam: The EmailAssistantAgent drafts a response, then the `SendEmail` activity function is called
+
+## Viewing Orchestration State
+
+You can view the state of the orchestration in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can see:
+   - **Orchestrations**: View the orchestration instance, including its runtime status, input, output, and execution history
+   - **Agents**: View the state of both the SpamDetectionAgent and EmailAssistantAgent
+
+The orchestration instance ID is displayed in the console output. You can use this ID to find the specific orchestration in the dashboard and inspect the conditional branching logic, including which path was taken based on the spam detection result.

dotnet/samples/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj

@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>AgentOrchestration_HITL</AssemblyName>
+    <RootNamespace>AgentOrchestration_HITL</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <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.OpenAI" />
+  </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>

dotnet/samples/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL/Models.cs

@@ -0,0 +1,44 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace AgentOrchestration_HITL;
+
+/// <summary>
+/// Represents the input for the Human-in-the-Loop content generation workflow.
+/// </summary>
+public sealed class ContentGenerationInput
+{
+    [JsonPropertyName("topic")]
+    public string Topic { get; set; } = string.Empty;
+
+    [JsonPropertyName("max_review_attempts")]
+    public int MaxReviewAttempts { get; set; } = 3;
+
+    [JsonPropertyName("approval_timeout_hours")]
+    public float ApprovalTimeoutHours { get; set; } = 72;
+}
+
+/// <summary>
+/// Represents the content generated by the writer agent.
+/// </summary>
+public sealed class GeneratedContent
+{
+    [JsonPropertyName("title")]
+    public string Title { get; set; } = string.Empty;
+
+    [JsonPropertyName("content")]
+    public string Content { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Represents the human approval response.
+/// </summary>
+public sealed class HumanApprovalResponse
+{
+    [JsonPropertyName("approved")]
+    public bool Approved { get; set; }
+
+    [JsonPropertyName("feedback")]
+    public string Feedback { get; set; } = string.Empty;
+}

dotnet/samples/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL/Program.cs

@@ -0,0 +1,333 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json;
+using AgentOrchestration_HITL;
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+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.");
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Single agent used by the orchestration to demonstrate human-in-the-loop workflow.
+const string WriterName = "WriterAgent";
+const string WriterInstructions =
+    """
+    You are a professional content writer who creates high-quality articles on various topics.
+    You write engaging, informative, and well-structured content that follows best practices for readability and accuracy.
+    """;
+
+AIAgent writerAgent = client.GetChatClient(deploymentName).AsAIAgent(WriterInstructions, WriterName);
+
+// Orchestrator function
+static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context, ContentGenerationInput input)
+{
+    // Get the writer agent
+    DurableAIAgent writerAgent = context.GetAgent("WriterAgent");
+    AgentThread writerThread = await writerAgent.GetNewThreadAsync();
+
+    // Set initial status
+    context.SetCustomStatus($"Starting content generation for topic: {input.Topic}");
+
+    // Step 1: Generate initial content
+    AgentResponse<GeneratedContent> writerResponse = await writerAgent.RunAsync<GeneratedContent>(
+        message: $"Write a short article about '{input.Topic}' in less than 300 words.",
+        thread: writerThread);
+    GeneratedContent content = writerResponse.Result;
+
+    // Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops
+    int iterationCount = 0;
+    while (iterationCount++ < input.MaxReviewAttempts)
+    {
+        context.SetCustomStatus(
+            $"Requesting human feedback. Iteration #{iterationCount}. Timeout: {input.ApprovalTimeoutHours} hour(s).");
+
+        // Step 2: Notify user to review the content
+        await context.CallActivityAsync(nameof(NotifyUserForApproval), content);
+
+        // Step 3: Wait for human feedback with configurable timeout
+        HumanApprovalResponse humanResponse;
+        try
+        {
+            humanResponse = await context.WaitForExternalEvent<HumanApprovalResponse>(
+                eventName: "HumanApproval",
+                timeout: TimeSpan.FromHours(input.ApprovalTimeoutHours));
+        }
+        catch (OperationCanceledException)
+        {
+            // Timeout occurred - treat as rejection
+            context.SetCustomStatus(
+                $"Human approval timed out after {input.ApprovalTimeoutHours} hour(s). Treating as rejection.");
+            throw new TimeoutException($"Human approval timed out after {input.ApprovalTimeoutHours} hour(s).");
+        }
+
+        if (humanResponse.Approved)
+        {
+            context.SetCustomStatus("Content approved by human reviewer. Publishing content...");
+
+            // Step 4: Publish the approved content
+            await context.CallActivityAsync(nameof(PublishContent), content);
+
+            context.SetCustomStatus($"Content published successfully at {context.CurrentUtcDateTime:s}");
+            return new { content = content.Content };
+        }
+
+        context.SetCustomStatus("Content rejected by human reviewer. Incorporating feedback and regenerating...");
+
+        // Incorporate human feedback and regenerate
+        writerResponse = await writerAgent.RunAsync<GeneratedContent>(
+            message: $"""
+                The content was rejected by a human reviewer. Please rewrite the article incorporating their feedback.
+                
+                Human Feedback: {humanResponse.Feedback}
+                """,
+            thread: writerThread);
+
+        content = writerResponse.Result;
+    }
+
+    // If we reach here, it means we exhausted the maximum number of iterations
+    throw new InvalidOperationException(
+        $"Content could not be approved after {input.MaxReviewAttempts} iterations.");
+}
+
+// Activity functions
+static void NotifyUserForApproval(TaskActivityContext context, GeneratedContent content)
+{
+    // In a real implementation, this would send notifications via email, SMS, etc.
+    Console.WriteLine(
+        $"""
+        NOTIFICATION: Please review the following content for approval:
+        Title: {content.Title}
+        Content: {content.Content}
+        Use the approval endpoint to approve or reject this content.
+        """);
+}
+
+static void PublishContent(TaskActivityContext context, GeneratedContent content)
+{
+    // In a real implementation, this would publish to a CMS, website, etc.
+    Console.WriteLine(
+        $"""
+        PUBLISHING: Content has been published successfully.
+        Title: {content.Title}
+        Content: {content.Content}
+        """);
+}
+
+// Configure the console app to host the AI agent.
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(loggingBuilder => loggingBuilder.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableAgents(
+            options => options.AddAIAgent(writerAgent),
+            workerBuilder: builder =>
+            {
+                builder.UseDurableTaskScheduler(dtsConnectionString);
+                builder.AddTasks(registry =>
+                {
+                    registry.AddOrchestratorFunc<ContentGenerationInput>(nameof(RunOrchestratorAsync), RunOrchestratorAsync);
+                    registry.AddActivityFunc<GeneratedContent>(nameof(NotifyUserForApproval), NotifyUserForApproval);
+                    registry.AddActivityFunc<GeneratedContent>(nameof(PublishContent), PublishContent);
+                });
+            },
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+DurableTaskClient durableTaskClient = host.Services.GetRequiredService<DurableTaskClient>();
+
+// Console colors for better UX
+Console.ForegroundColor = ConsoleColor.Cyan;
+Console.WriteLine("=== Human-in-the-Loop Orchestration Sample ===");
+Console.ResetColor();
+Console.WriteLine("Enter topic for content generation:");
+Console.WriteLine();
+
+// Read topic from stdin
+string? topic = Console.ReadLine();
+if (string.IsNullOrWhiteSpace(topic))
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine("Error: Topic is required.");
+    Console.ResetColor();
+    Environment.Exit(1);
+    return;
+}
+
+// Prompt for optional parameters with defaults
+Console.WriteLine();
+Console.WriteLine("Max review attempts (default: 3):");
+string? maxAttemptsInput = Console.ReadLine();
+int maxReviewAttempts = int.TryParse(maxAttemptsInput, out int maxAttempts) && maxAttempts > 0
+    ? maxAttempts
+    : 3;
+
+Console.WriteLine("Approval timeout in hours (default: 72):");
+string? timeoutInput = Console.ReadLine();
+float approvalTimeoutHours = float.TryParse(timeoutInput, out float timeout) && timeout > 0
+    ? timeout
+    : 72;
+
+ContentGenerationInput input = new()
+{
+    Topic = topic,
+    MaxReviewAttempts = maxReviewAttempts,
+    ApprovalTimeoutHours = approvalTimeoutHours
+};
+
+Console.WriteLine();
+Console.ForegroundColor = ConsoleColor.Gray;
+Console.WriteLine("Starting orchestration...");
+Console.ResetColor();
+
+try
+{
+    // Start the orchestration
+    string instanceId = await durableTaskClient.ScheduleNewOrchestrationInstanceAsync(
+        orchestratorName: nameof(RunOrchestratorAsync),
+        input: input);
+
+    Console.ForegroundColor = ConsoleColor.Gray;
+    Console.WriteLine($"Orchestration started with instance ID: {instanceId}");
+    Console.WriteLine("Waiting for human approval...");
+    Console.ResetColor();
+    Console.WriteLine();
+
+    // Monitor orchestration status and handle approval prompts
+    using CancellationTokenSource cts = new();
+    Task orchestrationTask = Task.Run(async () =>
+    {
+        while (!cts.Token.IsCancellationRequested)
+        {
+            OrchestrationMetadata? status = await durableTaskClient.GetInstanceAsync(
+                instanceId,
+                getInputsAndOutputs: true,
+                cts.Token);
+
+            if (status == null)
+            {
+                await Task.Delay(TimeSpan.FromSeconds(1), cts.Token);
+                continue;
+            }
+
+            // Check if we're waiting for approval
+            if (status.SerializedCustomStatus != null)
+            {
+                string? customStatus = status.ReadCustomStatusAs<string>();
+                if (customStatus?.StartsWith("Requesting human feedback", StringComparison.OrdinalIgnoreCase) == true)
+                {
+                    // Prompt user for approval
+                    Console.ForegroundColor = ConsoleColor.Yellow;
+                    Console.WriteLine("Content is ready for review. Check the logs above for details.");
+                    Console.Write("Approve? (y/n): ");
+                    Console.ResetColor();
+
+                    string? approvalInput = Console.ReadLine();
+                    bool approved = approvalInput?.Trim().Equals("y", StringComparison.OrdinalIgnoreCase) == true;
+
+                    Console.Write("Feedback (optional): ");
+                    string? feedback = Console.ReadLine() ?? "";
+
+                    HumanApprovalResponse approvalResponse = new()
+                    {
+                        Approved = approved,
+                        Feedback = feedback
+                    };
+
+                    await durableTaskClient.RaiseEventAsync(instanceId, "HumanApproval", approvalResponse);
+                }
+            }
+
+            if (status.RuntimeStatus is OrchestrationRuntimeStatus.Completed or OrchestrationRuntimeStatus.Failed or OrchestrationRuntimeStatus.Terminated)
+            {
+                break;
+            }
+
+            await Task.Delay(TimeSpan.FromSeconds(1), cts.Token);
+        }
+    }, cts.Token);
+
+    // Wait for orchestration to complete
+    OrchestrationMetadata finalStatus = await durableTaskClient.WaitForInstanceCompletionAsync(
+        instanceId,
+        getInputsAndOutputs: true,
+        CancellationToken.None);
+
+    cts.Cancel();
+    await orchestrationTask;
+
+    Console.WriteLine();
+
+    if (finalStatus.RuntimeStatus == OrchestrationRuntimeStatus.Completed)
+    {
+        Console.ForegroundColor = ConsoleColor.Green;
+        Console.WriteLine("✓ Orchestration completed successfully!");
+        Console.ResetColor();
+        Console.WriteLine();
+
+        JsonElement output = finalStatus.ReadOutputAs<JsonElement>();
+        if (output.TryGetProperty("content", out JsonElement contentElement))
+        {
+            Console.ForegroundColor = ConsoleColor.Yellow;
+            Console.WriteLine("Published content:");
+            Console.ResetColor();
+            Console.WriteLine(contentElement.GetString());
+        }
+    }
+    else if (finalStatus.RuntimeStatus == OrchestrationRuntimeStatus.Failed)
+    {
+        Console.ForegroundColor = ConsoleColor.Red;
+        Console.WriteLine("✗ Orchestration failed!");
+        Console.ResetColor();
+        if (finalStatus.FailureDetails != null)
+        {
+            Console.WriteLine($"Error: {finalStatus.FailureDetails.ErrorMessage}");
+        }
+        Environment.Exit(1);
+    }
+    else
+    {
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"Orchestration status: {finalStatus.RuntimeStatus}");
+        Console.ResetColor();
+    }
+}
+catch (Exception ex)
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine($"Error: {ex.Message}");
+    Console.ResetColor();
+    Environment.Exit(1);
+}
+finally
+{
+    await host.StopAsync();
+}

dotnet/samples/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL/README.md

@@ -0,0 +1,73 @@
+# Human-in-the-Loop Orchestration Sample
+
+This sample demonstrates how to use the durable agents extension to create a console app that implements a human-in-the-loop workflow using durable orchestration, including interactive approval prompts.
+
+## Key Concepts Demonstrated
+
+- Human-in-the-loop workflows with durable orchestration
+- External event handling for human approval/rejection
+- Timeout handling for approval requests
+- Iterative content refinement based on human feedback
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/05_AgentOrchestration_HITL
+dotnet run --framework net10.0
+```
+
+The app will prompt you for input:
+
+```text
+=== Human-in-the-Loop Orchestration Sample ===
+Enter topic for content generation:
+
+The Future of Artificial Intelligence
+
+Max review attempts (default: 3):
+3
+Approval timeout in hours (default: 72):
+72
+```
+
+The orchestration will generate content and prompt you for approval:
+
+```text
+Orchestration started with instance ID: 86313f1d45fb42eeb50b1852626bf3ff
+
+=== NOTIFICATION: Content Ready for Review ===
+Title: The Future of Artificial Intelligence
+
+Content:
+[Generated content appears here]
+
+Please review the content above and provide your approval.
+
+Content is ready for review. Check the logs above for details.
+Approve? (y/n): n
+Feedback (optional): Please add more details about the ethical implications.
+```
+
+The orchestration will incorporate your feedback and regenerate the content. Once approved, it will publish and complete.
+
+## Viewing Orchestration State
+
+You can view the state of the orchestration in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can see:
+   - **Orchestrations**: View the orchestration instance, including its runtime status, custom status (which shows approval state), input, output, and execution history
+   - **Agents**: View the state of the WriterAgent, including conversation history
+
+The orchestration instance ID is displayed in the console output. You can use this ID to find the specific orchestration in the dashboard and inspect:
+
+- The custom status field, which shows the current state of the approval workflow
+- When the orchestration is waiting for external events
+- The iteration count and feedback history
+- The final published content

dotnet/samples/DurableAgents/ConsoleApps/06_LongRunningTools/06_LongRunningTools.csproj

@@ -0,0 +1,30 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>LongRunningTools</AssemblyName>
+    <RootNamespace>LongRunningTools</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <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.OpenAI" />
+  </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>

dotnet/samples/DurableAgents/ConsoleApps/06_LongRunningTools/Models.cs

@@ -0,0 +1,44 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace LongRunningTools;
+
+/// <summary>
+/// Represents the input for the content generation workflow.
+/// </summary>
+public sealed class ContentGenerationInput
+{
+    [JsonPropertyName("topic")]
+    public string Topic { get; set; } = string.Empty;
+
+    [JsonPropertyName("max_review_attempts")]
+    public int MaxReviewAttempts { get; set; } = 3;
+
+    [JsonPropertyName("approval_timeout_hours")]
+    public float ApprovalTimeoutHours { get; set; } = 72;
+}
+
+/// <summary>
+/// Represents the content generated by the writer agent.
+/// </summary>
+public sealed class GeneratedContent
+{
+    [JsonPropertyName("title")]
+    public string Title { get; set; } = string.Empty;
+
+    [JsonPropertyName("content")]
+    public string Content { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Represents the human feedback response.
+/// </summary>
+public sealed class HumanFeedbackResponse
+{
+    [JsonPropertyName("approved")]
+    public bool Approved { get; set; }
+
+    [JsonPropertyName("feedback")]
+    public string Feedback { get; set; } = string.Empty;
+}

dotnet/samples/DurableAgents/ConsoleApps/06_LongRunningTools/Program.cs

@@ -0,0 +1,351 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.ComponentModel;
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using LongRunningTools;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.DurableTask;
+using Microsoft.DurableTask.Client;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+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.");
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Agent used by the orchestration to write content.
+const string WriterAgentName = "Writer";
+const string WriterAgentInstructions =
+    """
+    You are a professional content writer who creates high-quality articles on various topics.
+    You write engaging, informative, and well-structured content that follows best practices for readability and accuracy.
+    """;
+
+AIAgent writerAgent = client.GetChatClient(deploymentName).AsAIAgent(WriterAgentInstructions, WriterAgentName);
+
+// Agent that can start content generation workflows using tools
+const string PublisherAgentName = "Publisher";
+const string PublisherAgentInstructions =
+    """
+    You are a publishing agent that can manage content generation workflows.
+    You have access to tools to start, monitor, and raise events for content generation workflows.
+    """;
+
+const string HumanFeedbackEventName = "HumanFeedback";
+
+// Orchestrator function
+static async Task<object> RunOrchestratorAsync(TaskOrchestrationContext context, ContentGenerationInput input)
+{
+    // Get the writer agent
+    DurableAIAgent writerAgent = context.GetAgent(WriterAgentName);
+    AgentThread writerThread = await writerAgent.GetNewThreadAsync();
+
+    // Set initial status
+    context.SetCustomStatus($"Starting content generation for topic: {input.Topic}");
+
+    // Step 1: Generate initial content
+    AgentResponse<GeneratedContent> writerResponse = await writerAgent.RunAsync<GeneratedContent>(
+        message: $"Write a short article about '{input.Topic}'.",
+        thread: writerThread);
+    GeneratedContent content = writerResponse.Result;
+
+    // Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops
+    int iterationCount = 0;
+    while (iterationCount++ < input.MaxReviewAttempts)
+    {
+        context.SetCustomStatus(
+            new
+            {
+                message = "Requesting human feedback.",
+                approvalTimeoutHours = input.ApprovalTimeoutHours,
+                iterationCount,
+                content
+            });
+
+        // Step 2: Notify user to review the content
+        await context.CallActivityAsync(nameof(NotifyUserForApproval), content);
+
+        // Step 3: Wait for human feedback with configurable timeout
+        HumanFeedbackResponse humanResponse;
+        try
+        {
+            humanResponse = await context.WaitForExternalEvent<HumanFeedbackResponse>(
+                eventName: HumanFeedbackEventName,
+                timeout: TimeSpan.FromHours(input.ApprovalTimeoutHours));
+        }
+        catch (OperationCanceledException)
+        {
+            // Timeout occurred - treat as rejection
+            context.SetCustomStatus(
+                new
+                {
+                    message = $"Human approval timed out after {input.ApprovalTimeoutHours} hour(s). Treating as rejection.",
+                    iterationCount,
+                    content
+                });
+            throw new TimeoutException($"Human approval timed out after {input.ApprovalTimeoutHours} hour(s).");
+        }
+
+        if (humanResponse.Approved)
+        {
+            context.SetCustomStatus(new
+            {
+                message = "Content approved by human reviewer. Publishing content...",
+                content
+            });
+
+            // Step 4: Publish the approved content
+            await context.CallActivityAsync(nameof(PublishContent), content);
+
+            context.SetCustomStatus(new
+            {
+                message = $"Content published successfully at {context.CurrentUtcDateTime:s}",
+                humanFeedback = humanResponse,
+                content
+            });
+            return new { content = content.Content };
+        }
+
+        context.SetCustomStatus(new
+        {
+            message = "Content rejected by human reviewer. Incorporating feedback and regenerating...",
+            humanFeedback = humanResponse,
+            content
+        });
+
+        // Incorporate human feedback and regenerate
+        writerResponse = await writerAgent.RunAsync<GeneratedContent>(
+            message: $"""
+                The content was rejected by a human reviewer. Please rewrite the article incorporating their feedback.
+                
+                Human Feedback: {humanResponse.Feedback}
+                """,
+            thread: writerThread);
+
+        content = writerResponse.Result;
+    }
+
+    // If we reach here, it means we exhausted the maximum number of iterations
+    throw new InvalidOperationException(
+        $"Content could not be approved after {input.MaxReviewAttempts} iterations.");
+}
+
+// Activity functions
+static void NotifyUserForApproval(TaskActivityContext context, GeneratedContent content)
+{
+    // In a real implementation, this would send notifications via email, SMS, etc.
+    Console.ForegroundColor = ConsoleColor.DarkMagenta;
+    Console.WriteLine(
+        $"""
+        NOTIFICATION: Please review the following content for approval:
+        Title: {content.Title}
+        Content: {content.Content}
+        """);
+    Console.ResetColor();
+}
+
+static void PublishContent(TaskActivityContext context, GeneratedContent content)
+{
+    // In a real implementation, this would publish to a CMS, website, etc.
+    Console.ForegroundColor = ConsoleColor.DarkMagenta;
+    Console.WriteLine(
+        $"""
+        PUBLISHING: Content has been published successfully.
+        Title: {content.Title}
+        Content: {content.Content}
+        """);
+    Console.ResetColor();
+}
+
+// Tools that demonstrate starting orchestrations from agent tool calls.
+[Description("Starts a content generation workflow and returns the instance ID for tracking.")]
+static string StartContentGenerationWorkflow([Description("The topic for content generation")] string topic)
+{
+    const int MaxReviewAttempts = 3;
+    const float ApprovalTimeoutHours = 72;
+
+    // Schedule the orchestration, which will start running after the tool call completes.
+    string instanceId = DurableAgentContext.Current.ScheduleNewOrchestration(
+        name: nameof(RunOrchestratorAsync),
+        input: new ContentGenerationInput
+        {
+            Topic = topic,
+            MaxReviewAttempts = MaxReviewAttempts,
+            ApprovalTimeoutHours = ApprovalTimeoutHours
+        });
+
+    return $"Workflow started with instance ID: {instanceId}";
+}
+
+[Description("Gets the status of a workflow orchestration and returns a summary of the workflow's current status.")]
+static async Task<object> GetWorkflowStatusAsync(
+    [Description("The instance ID of the workflow to check")] string instanceId,
+    [Description("Whether to include detailed information")] bool includeDetails = true)
+{
+    // Get the current agent context using the thread-static property
+    OrchestrationMetadata? status = await DurableAgentContext.Current.GetOrchestrationStatusAsync(
+        instanceId,
+        includeDetails);
+
+    if (status is null)
+    {
+        return new
+        {
+            instanceId,
+            error = $"Workflow instance '{instanceId}' not found.",
+        };
+    }
+
+    return new
+    {
+        instanceId = status.InstanceId,
+        createdAt = status.CreatedAt,
+        executionStatus = status.RuntimeStatus,
+        workflowStatus = status.SerializedCustomStatus,
+        lastUpdatedAt = status.LastUpdatedAt,
+        failureDetails = status.FailureDetails
+    };
+}
+
+[Description(
+    "Raises a feedback event for the content generation workflow. If approved, the workflow will be published. " +
+    "If rejected, the workflow will generate new content.")]
+static async Task SubmitHumanFeedbackAsync(
+    [Description("The instance ID of the workflow to submit feedback for")] string instanceId,
+    [Description("Feedback to submit")] HumanFeedbackResponse feedback)
+{
+    await DurableAgentContext.Current.RaiseOrchestrationEventAsync(instanceId, HumanFeedbackEventName, feedback);
+}
+
+// Configure the console app to host the AI agents.
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(loggingBuilder => loggingBuilder.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableAgents(
+            options =>
+            {
+                // Add the writer agent used by the orchestration
+                options.AddAIAgent(writerAgent);
+
+                // Define the agent that can start orchestrations from tool calls
+                options.AddAIAgentFactory(PublisherAgentName, sp =>
+                {
+                    return client.GetChatClient(deploymentName).AsAIAgent(
+                        instructions: PublisherAgentInstructions,
+                        name: PublisherAgentName,
+                        services: sp,
+                        tools: [
+                            AIFunctionFactory.Create(StartContentGenerationWorkflow),
+                            AIFunctionFactory.Create(GetWorkflowStatusAsync),
+                            AIFunctionFactory.Create(SubmitHumanFeedbackAsync),
+                        ]);
+                });
+            },
+            workerBuilder: builder =>
+            {
+                builder.UseDurableTaskScheduler(dtsConnectionString);
+                builder.AddTasks(registry =>
+                {
+                    registry.AddOrchestratorFunc<ContentGenerationInput>(nameof(RunOrchestratorAsync), RunOrchestratorAsync);
+                    registry.AddActivityFunc<GeneratedContent>(nameof(NotifyUserForApproval), NotifyUserForApproval);
+                    registry.AddActivityFunc<GeneratedContent>(nameof(PublishContent), PublishContent);
+                });
+            },
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the agent proxy from services
+IServiceProvider services = host.Services;
+AIAgent? agentProxy = services.GetKeyedService<AIAgent>(PublisherAgentName);
+if (agentProxy == null)
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine("Agent 'Publisher' not found.");
+    Console.ResetColor();
+    Environment.Exit(1);
+    return;
+}
+
+// Console colors for better UX
+Console.ForegroundColor = ConsoleColor.Cyan;
+Console.WriteLine("=== Long Running Tools Sample ===");
+Console.ResetColor();
+Console.WriteLine("Enter a topic for the Publisher agent to write about (or 'exit' to quit):");
+Console.WriteLine();
+
+// Create a thread for the conversation
+AgentThread thread = await agentProxy.GetNewThreadAsync();
+
+using CancellationTokenSource cts = new();
+Console.CancelKeyPress += (sender, e) =>
+{
+    e.Cancel = true;
+    cts.Cancel();
+};
+
+while (!cts.Token.IsCancellationRequested)
+{
+    // Read input from stdin
+    Console.ForegroundColor = ConsoleColor.Yellow;
+    Console.Write("You: ");
+    Console.ResetColor();
+
+    string? input = Console.ReadLine();
+    if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
+    {
+        break;
+    }
+
+    // Run the agent
+    Console.ForegroundColor = ConsoleColor.Green;
+    Console.Write("Publisher: ");
+    Console.ResetColor();
+
+    try
+    {
+        AgentResponse agentResponse = await agentProxy.RunAsync(
+            message: input,
+            thread: thread,
+            cancellationToken: cts.Token);
+
+        Console.WriteLine(agentResponse.Text);
+        Console.WriteLine();
+    }
+    catch (Exception ex)
+    {
+        Console.ForegroundColor = ConsoleColor.Red;
+        Console.Error.WriteLine($"Error: {ex.Message}");
+        Console.ResetColor();
+        Console.WriteLine();
+    }
+
+    Console.WriteLine("(Press Enter to prompt the Publisher agent again)");
+    _ = Console.ReadLine();
+}
+
+await host.StopAsync();

dotnet/samples/DurableAgents/ConsoleApps/06_LongRunningTools/README.md

@@ -0,0 +1,90 @@
+# Long Running Tools Sample
+
+This sample demonstrates how to use the durable agents extension to create a console app with agents that have long running tools. This sample builds on the [05_AgentOrchestration_HITL](../05_AgentOrchestration_HITL) sample by adding a publisher agent that can start and manage content generation workflows. A key difference is that the publisher agent knows the IDs of the workflows it starts, so it can check the status of the workflows and approve or reject them without being explicitly given the context (instance IDs, etc).
+
+## Key Concepts Demonstrated
+
+The same key concepts as the [05_AgentOrchestration_HITL](../05_AgentOrchestration_HITL) sample are demonstrated, but with the following additional concepts:
+
+- **Long running tools**: Using `DurableAgentContext.Current` to start orchestrations from tool calls
+- **Multi-agent orchestration**: Agents can start and manage workflows that orchestrate other agents
+- **Human-in-the-loop (with delegation)**: The agent acts as an intermediary between the human and the workflow. The human remains in the loop, but delegates to the agent to start the workflow and approve or reject the content.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/06_LongRunningTools
+dotnet run --framework net10.0
+```
+
+The app will prompt you for input. You can interact with the Publisher agent:
+
+```text
+=== Long Running Tools Sample ===
+Enter a topic for the Publisher agent to write about (or 'exit' to quit):
+
+You: Start a content generation workflow for the topic 'The Future of Artificial Intelligence'
+Publisher: The content generation workflow for the topic "The Future of Artificial Intelligence" has been successfully started, and the instance ID is **6a04276e8d824d8d941e1dc4142cc254**. If you need any further assistance or updates on the workflow, feel free to ask!
+```
+
+Behind the scenes, the publisher agent will:
+
+1. Start the content generation workflow via a tool call
+2. The workflow will generate initial content using the Writer agent and wait for human approval, which will be visible in the terminal
+
+Once the workflow is waiting for human approval, you can send approval or rejection by prompting the publisher agent accordingly.
+
+> [!NOTE]
+> You must press Enter after each message to continue the conversation. The sample is set up this way because the workflow is running in the background and may write to the console asynchronously.
+
+To tell the agent to rewrite the content with feedback, you can prompt it to reject the content with feedback.
+
+```text
+You: Reject the content with feedback: The article needs more technical depth and better examples.
+Publisher: The content has been successfully rejected with the feedback: "The article needs more technical depth and better examples." The workflow will now generate new content based on this feedback.
+```
+
+Once you're satisfied with the content, you can approve it for publishing.
+
+```text
+You: Approve the content
+Publisher: The content has been successfully approved for publishing. If you need any more assistance or have further requests, feel free to let me know!
+```
+
+Once the workflow has completed, you can get the status by prompting the publisher agent to give you the status.
+
+```text
+You: Get the status of the workflow you previously started
+Publisher: The status of the workflow with instance ID **6a04276e8d824d8d941e1dc4142cc254** is as follows:
+
+- **Execution Status:** Completed
+- **Created At:** December 22, 2025, 23:08:13 UTC
+- **Last Updated At:** December 22, 2025, 23:09:59 UTC
+- **Workflow Status:** 
+  - Message: Content published successfully at December 22, 2025, 23:09:59 UTC
+  - Human Feedback: Approved
+```
+
+## Viewing Agent and Orchestration State
+
+You can view the state of both the agent and the orchestrations it starts in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can see:
+   - **Agents**: View the state of the Publisher agent, including its conversation history and tool call history
+   - **Orchestrations**: View the content generation orchestration instances that were started by the agent via tool calls, including their runtime status, custom status, input, output, and execution history
+
+When the publisher agent starts a workflow, the orchestration instance ID is included in the agent's response. You can use this ID to find the specific orchestration in the dashboard and inspect:
+
+- The orchestration's execution progress
+- When it's waiting for human approval (visible in custom status)
+- The content generation workflow state
+- The WriterAgent state within the orchestration
+
+This demonstrates how agents can manage long-running workflows and how you can monitor both the agent's state and the workflows it orchestrates.

dotnet/samples/DurableAgents/ConsoleApps/07_ReliableStreaming/07_ReliableStreaming.csproj

@@ -0,0 +1,31 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>ReliableStreaming</AssemblyName>
+    <RootNamespace>ReliableStreaming</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
+    <PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+    <PackageReference Include="StackExchange.Redis" />
+  </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.OpenAI" />
+  </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>

dotnet/samples/DurableAgents/ConsoleApps/07_ReliableStreaming/Program.cs

@@ -0,0 +1,363 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to implement reliable streaming for durable agents using Redis Streams.
+// It reads prompts from stdin and streams agent responses to stdout in real-time.
+
+using System.ComponentModel;
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using OpenAI.Chat;
+using ReliableStreaming;
+using StackExchange.Redis;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+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.");
+
+// Get Redis connection string from environment variable.
+string redisConnectionString = Environment.GetEnvironmentVariable("REDIS_CONNECTION_STRING")
+    ?? "localhost:6379";
+
+// Get the Redis stream TTL from environment variable (default: 10 minutes).
+int redisStreamTtlMinutes = int.Parse(Environment.GetEnvironmentVariable("REDIS_STREAM_TTL_MINUTES") ?? "10");
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Travel Planner agent instructions - designed to produce longer responses for demonstrating streaming.
+const string TravelPlannerName = "TravelPlanner";
+const string TravelPlannerInstructions =
+    """
+    You are an expert travel planner who creates detailed, personalized travel itineraries.
+    When asked to plan a trip, you should:
+    1. Create a comprehensive day-by-day itinerary
+    2. Include specific recommendations for activities, restaurants, and attractions
+    3. Provide practical tips for each destination
+    4. Consider weather and local events when making recommendations
+    5. Include estimated times and logistics between activities
+    
+    Always use the available tools to get current weather forecasts and local events
+    for the destination to make your recommendations more relevant and timely.
+    
+    Format your response with clear headings for each day and include emoji icons
+    to make the itinerary easy to scan and visually appealing.
+    """;
+
+// Mock travel tools that return hardcoded data for demonstration purposes.
+[Description("Gets the weather forecast for a destination on a specific date. Use this to provide weather-aware recommendations in the itinerary.")]
+static string GetWeatherForecast(string destination, string date)
+{
+    Dictionary<string, (string condition, int highF, int lowF)> weatherByRegion = new(StringComparer.OrdinalIgnoreCase)
+    {
+        ["Tokyo"] = ("Partly cloudy with a chance of light rain", 58, 45),
+        ["Paris"] = ("Overcast with occasional drizzle", 52, 41),
+        ["New York"] = ("Clear and cold", 42, 28),
+        ["London"] = ("Foggy morning, clearing in afternoon", 48, 38),
+        ["Sydney"] = ("Sunny and warm", 82, 68),
+        ["Rome"] = ("Sunny with light breeze", 62, 48),
+        ["Barcelona"] = ("Partly sunny", 59, 47),
+        ["Amsterdam"] = ("Cloudy with light rain", 46, 38),
+        ["Dubai"] = ("Sunny and hot", 85, 72),
+        ["Singapore"] = ("Tropical thunderstorms in afternoon", 88, 77),
+        ["Bangkok"] = ("Hot and humid, afternoon showers", 91, 78),
+        ["Los Angeles"] = ("Sunny and pleasant", 72, 55),
+        ["San Francisco"] = ("Morning fog, afternoon sun", 62, 52),
+        ["Seattle"] = ("Rainy with breaks", 48, 40),
+        ["Miami"] = ("Warm and sunny", 78, 65),
+        ["Honolulu"] = ("Tropical paradise weather", 82, 72),
+    };
+
+    (string condition, int highF, int lowF) forecast = ("Partly cloudy", 65, 50);
+    foreach (KeyValuePair<string, (string, int, int)> entry in weatherByRegion)
+    {
+        if (destination.Contains(entry.Key, StringComparison.OrdinalIgnoreCase))
+        {
+            forecast = entry.Value;
+            break;
+        }
+    }
+
+    return $"""
+        Weather forecast for {destination} on {date}:
+        Conditions: {forecast.condition}
+        High: {forecast.highF}°F ({(forecast.highF - 32) * 5 / 9}°C)
+        Low: {forecast.lowF}°F ({(forecast.lowF - 32) * 5 / 9}°C)
+        
+        Recommendation: {GetWeatherRecommendation(forecast.condition)}
+        """;
+}
+
+[Description("Gets local events and activities happening at a destination around a specific date. Use this to suggest timely activities and experiences.")]
+static string GetLocalEvents(string destination, string date)
+{
+    Dictionary<string, string[]> eventsByCity = new(StringComparer.OrdinalIgnoreCase)
+    {
+        ["Tokyo"] = [
+            "🎭 Kabuki Theater Performance at Kabukiza Theatre - Traditional Japanese drama",
+            "🌸 Winter Illuminations at Yoyogi Park - Spectacular light displays",
+            "🍜 Ramen Festival at Tokyo Station - Sample ramen from across Japan",
+            "🎮 Gaming Expo at Tokyo Big Sight - Latest video games and technology",
+        ],
+        ["Paris"] = [
+            "🎨 Impressionist Exhibition at Musée d'Orsay - Extended evening hours",
+            "🍷 Wine Tasting Tour in Le Marais - Local sommelier guided",
+            "🎵 Jazz Night at Le Caveau de la Huchette - Historic jazz club",
+            "🥐 French Pastry Workshop - Learn from master pâtissiers",
+        ],
+        ["New York"] = [
+            "🎭 Broadway Show: Hamilton - Limited engagement performances",
+            "🏀 Knicks vs Lakers at Madison Square Garden",
+            "🎨 Modern Art Exhibit at MoMA - New installations",
+            "🍕 Pizza Walking Tour of Brooklyn - Artisan pizzerias",
+        ],
+        ["London"] = [
+            "👑 Royal Collection Exhibition at Buckingham Palace",
+            "🎭 West End Musical: The Phantom of the Opera",
+            "🍺 Craft Beer Festival at Brick Lane",
+            "🎪 Winter Wonderland at Hyde Park - Rides and markets",
+        ],
+        ["Sydney"] = [
+            "🏄 Pro Surfing Competition at Bondi Beach",
+            "🎵 Opera at Sydney Opera House - La Bohème",
+            "🦘 Wildlife Night Safari at Taronga Zoo",
+            "🍽️ Harbor Dinner Cruise with fireworks",
+        ],
+        ["Rome"] = [
+            "🏛️ After-Hours Vatican Tour - Skip the crowds",
+            "🍝 Pasta Making Class in Trastevere",
+            "🎵 Classical Concert at Borghese Gallery",
+            "🍷 Wine Tasting in Roman Cellars",
+        ],
+    };
+
+    string[] events = [
+        "🎭 Local theater performance",
+        "🍽️ Food and wine festival",
+        "🎨 Art gallery opening",
+        "🎵 Live music at local venues",
+    ];
+
+    foreach (KeyValuePair<string, string[]> entry in eventsByCity)
+    {
+        if (destination.Contains(entry.Key, StringComparison.OrdinalIgnoreCase))
+        {
+            events = entry.Value;
+            break;
+        }
+    }
+
+    string eventList = string.Join("\n• ", events);
+    return $"""
+        Local events in {destination} around {date}:
+        
+        • {eventList}
+        
+        💡 Tip: Book popular events in advance as they may sell out quickly!
+        """;
+}
+
+static string GetWeatherRecommendation(string condition)
+{
+    return condition switch
+    {
+        string c when c.Contains("rain", StringComparison.OrdinalIgnoreCase) || c.Contains("drizzle", StringComparison.OrdinalIgnoreCase) =>
+            "Bring an umbrella and waterproof jacket. Consider indoor activities for backup.",
+        string c when c.Contains("fog", StringComparison.OrdinalIgnoreCase) =>
+            "Morning visibility may be limited. Plan outdoor sightseeing for afternoon.",
+        string c when c.Contains("cold", StringComparison.OrdinalIgnoreCase) =>
+            "Layer up with warm clothing. Hot drinks and cozy cafés recommended.",
+        string c when c.Contains("hot", StringComparison.OrdinalIgnoreCase) || c.Contains("warm", StringComparison.OrdinalIgnoreCase) =>
+            "Stay hydrated and use sunscreen. Plan strenuous activities for cooler morning hours.",
+        string c when c.Contains("thunder", StringComparison.OrdinalIgnoreCase) || c.Contains("storm", StringComparison.OrdinalIgnoreCase) =>
+            "Keep an eye on weather updates. Have indoor alternatives ready.",
+        _ => "Pleasant conditions expected. Great day for outdoor exploration!"
+    };
+}
+
+// Configure the console app to host the AI agent.
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(loggingBuilder => loggingBuilder.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableAgents(
+            options =>
+            {
+                // Define the Travel Planner agent with tools for weather and events
+                options.AddAIAgentFactory(TravelPlannerName, sp =>
+                {
+                    return client.GetChatClient(deploymentName).AsAIAgent(
+                        instructions: TravelPlannerInstructions,
+                        name: TravelPlannerName,
+                        services: sp,
+                        tools: [
+                            AIFunctionFactory.Create(GetWeatherForecast),
+                            AIFunctionFactory.Create(GetLocalEvents),
+                        ]);
+                });
+            },
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+
+        // Register Redis connection as a singleton
+        services.AddSingleton<IConnectionMultiplexer>(_ =>
+            ConnectionMultiplexer.Connect(redisConnectionString));
+
+        // Register the Redis stream response handler - this captures agent responses
+        // and publishes them to Redis Streams for reliable delivery.
+        services.AddSingleton(sp =>
+            new RedisStreamResponseHandler(
+                sp.GetRequiredService<IConnectionMultiplexer>(),
+                TimeSpan.FromMinutes(redisStreamTtlMinutes)));
+        services.AddSingleton<IAgentResponseHandler>(sp =>
+            sp.GetRequiredService<RedisStreamResponseHandler>());
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the agent proxy from services
+IServiceProvider services = host.Services;
+AIAgent? agentProxy = services.GetKeyedService<AIAgent>(TravelPlannerName);
+RedisStreamResponseHandler streamHandler = services.GetRequiredService<RedisStreamResponseHandler>();
+
+if (agentProxy == null)
+{
+    Console.ForegroundColor = ConsoleColor.Red;
+    Console.Error.WriteLine($"Agent '{TravelPlannerName}' not found.");
+    Console.ResetColor();
+    Environment.Exit(1);
+    return;
+}
+
+// Console colors for better UX
+Console.ForegroundColor = ConsoleColor.Cyan;
+Console.WriteLine("=== Reliable Streaming Sample ===");
+Console.ResetColor();
+Console.WriteLine("Enter a travel planning request (or 'exit' to quit):");
+Console.WriteLine();
+
+string? lastCursor = null;
+
+async Task ReadStreamTask(string conversationId, string? cursor, CancellationToken cancellationToken)
+{
+    // Initialize lastCursor to the starting cursor position
+    // This ensures we have a valid cursor even if cancellation happens before any chunks are processed
+    lastCursor = cursor;
+
+    await foreach (StreamChunk chunk in streamHandler.ReadStreamAsync(conversationId, cursor, cancellationToken))
+    {
+        if (chunk.Error != null)
+        {
+            Console.ForegroundColor = ConsoleColor.Red;
+            Console.Error.WriteLine($"\n[Error: {chunk.Error}]");
+            Console.ResetColor();
+            break;
+        }
+
+        if (chunk.IsDone)
+        {
+            Console.WriteLine();
+            Console.WriteLine();
+            break;
+        }
+
+        if (chunk.Text != null)
+        {
+            Console.Write(chunk.Text);
+        }
+
+        // Always update lastCursor to track the latest entry ID, even if text is null
+        // This ensures we can resume from the correct position after interruption
+        if (!string.IsNullOrEmpty(chunk.EntryId))
+        {
+            lastCursor = chunk.EntryId;
+        }
+    }
+}
+
+// New conversation: prompt from stdin
+Console.ForegroundColor = ConsoleColor.Yellow;
+Console.Write("You: ");
+Console.ResetColor();
+
+string? prompt = Console.ReadLine();
+if (string.IsNullOrWhiteSpace(prompt) || prompt.Equals("exit", StringComparison.OrdinalIgnoreCase))
+{
+    return;
+}
+
+// Create a new agent thread
+AgentThread thread = await agentProxy.GetNewThreadAsync();
+AgentSessionId sessionId = thread.GetService<AgentSessionId>();
+string conversationId = sessionId.ToString();
+
+Console.ForegroundColor = ConsoleColor.Green;
+Console.WriteLine($"Conversation ID: {conversationId}");
+Console.WriteLine("Press [Enter] to interrupt the stream.");
+Console.ResetColor();
+
+// Run the agent in the background
+DurableAgentRunOptions options = new() { IsFireAndForget = true };
+await agentProxy.RunAsync(prompt, thread, options, CancellationToken.None);
+
+bool streamCompleted = false;
+while (!streamCompleted)
+{
+    // On a key press, cancel the cancellation token to stop the stream
+    using CancellationTokenSource userCancellationSource = new();
+    _ = Task.Run(() =>
+    {
+        _ = Console.ReadLine();
+        userCancellationSource.Cancel();
+    });
+
+    try
+    {
+        // Start reading the stream and wait for it to complete
+        await ReadStreamTask(conversationId, lastCursor, userCancellationSource.Token);
+        streamCompleted = true;
+    }
+    catch (OperationCanceledException)
+    {
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine("Stream cancelled. Press [Enter] to reconnect and resume the stream from the last cursor.");
+        // Ensure lastCursor is set - if it's still null, we at least have the starting cursor
+        string cursorValue = lastCursor ?? "(n/a)";
+        Console.WriteLine($"Last cursor: {cursorValue}");
+        Console.ResetColor();
+        // Explicitly flush to ensure the message is written immediately
+        Console.Out.Flush();
+    }
+
+    if (!streamCompleted)
+    {
+        Console.ReadLine();
+        Console.ForegroundColor = ConsoleColor.Green;
+        Console.WriteLine($"Resuming conversation: {conversationId} from cursor: {lastCursor ?? "(beginning)"}");
+        Console.ResetColor();
+    }
+}
+
+Console.ForegroundColor = ConsoleColor.Green;
+Console.WriteLine("Conversation completed.");
+Console.ResetColor();
+
+await host.StopAsync();

dotnet/samples/DurableAgents/ConsoleApps/07_ReliableStreaming/README.md

@@ -0,0 +1,181 @@
+# Reliable Streaming with Redis
+
+This sample demonstrates how to implement reliable streaming for durable agents using Redis Streams as a message broker. It enables clients to disconnect and reconnect to ongoing agent responses without losing messages, inspired by [OpenAI's background mode](https://platform.openai.com/docs/guides/background) for the Responses API.
+
+## Key Concepts Demonstrated
+
+- **Reliable message delivery**: Agent responses are persisted to Redis Streams, allowing clients to resume from any point
+- **Real-time streaming**: Chunks are printed to stdout as they arrive (like `tail -f`)
+- **Cursor-based resumption**: Each chunk includes an entry ID that can be used to resume the stream
+- **Fire-and-forget agent invocation**: The agent runs in the background while the client streams from Redis
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+### Additional Requirements: Redis
+
+This sample requires a Redis instance. Start a local Redis instance using Docker:
+
+```bash
+docker run -d --name redis -p 6379:6379 redis:latest
+```
+
+To verify Redis is running:
+
+```bash
+docker ps | grep redis
+```
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/07_ReliableStreaming
+dotnet run --framework net10.0
+```
+
+The app will prompt you for a travel planning request:
+
+```text
+=== Reliable Streaming Sample ===
+Enter a travel planning request (or 'exit' to quit):
+
+You: Plan a 7-day trip to Tokyo, Japan for next month. Include daily activities, restaurant recommendations, and tips for getting around.
+```
+
+The agent's response will stream to your console in real-time as chunks arrive from Redis:
+
+```text
+Starting new conversation: @dafx-travelplanner@a1b2c3d4e5f67890abcdef1234567890
+Press [Enter] to interrupt the stream.
+
+TravelPlanner: # 7-Day Tokyo Adventure
+
+## Day 1: Arrival and Exploration
+...
+```
+
+### Demonstrating Stream Interruption and Resumption
+
+This is the key feature of reliable streaming. Follow these steps to see it in action:
+
+1. **Start a stream**: Run the app and enter a travel planning request
+2. **Note the conversation ID**: The conversation ID is displayed at the start of the stream (e.g., `Starting new conversation: @dafx-travelplanner@a1b2c3d4e5f67890abcdef1234567890`)
+3. **Interrupt the stream**: While the agent is still generating text, press **`Enter`** to interrupt. The agent continues running in the background - your messages are being saved to Redis.
+4. **Resume the stream**: Press **`Enter`** again to reconnect and resume the stream from the last cursor position. The app will automatically resume from where it left off.
+
+```text
+Starting new conversation: @dafx-travelplanner@a1b2c3d4e5f67890abcdef1234567890
+Press [Enter] to interrupt the stream.
+
+TravelPlanner: # 7-Day Tokyo Adventure
+
+## Day 1: Arrival and Exploration
+[Streaming content...]
+
+[Press Enter to interrupt]
+Stream cancelled. Press [Enter] to reconnect and resume the stream from the last cursor.
+Last cursor: 1734567890123-0
+
+[Press Enter to resume]
+Resuming conversation: @dafx-travelplanner@a1b2c3d4e5f67890abcdef1234567890 from cursor: 1734567890123-0
+
+[Stream continues from where it left off...]
+```
+
+## Viewing Agent State
+
+You can view the state of the agent in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can see:
+   - **Agents**: View the state of the TravelPlanner agent, including conversation history and current state
+   - **Orchestrations**: View any orchestrations that may have been triggered by the agent
+
+The conversation ID displayed in the console output (shown as "Starting new conversation: {conversationId}") corresponds to the agent's conversation thread. You can use this to identify the agent in the dashboard and inspect:
+
+- The agent's conversation state
+- Tool calls made by the agent (weather and events lookups)
+- The streaming response state
+
+Note that while the console app streams responses from Redis, the agent state in DTS shows the underlying durable agent execution, including all tool calls and conversation context.
+
+## Architecture Overview
+
+```text
+┌─────────────┐      stdin (prompt)     ┌─────────────────────┐
+│   Client    │  ─────────────────────► │  Console App        │
+│  (stdin)    │                         │  (Program.cs)       │
+└─────────────┘                         └──────────────┬──────┘
+       ▲                                               │
+       │ stdout (chunks)                    Signal Entity
+       │                                               │
+       │                                               ▼
+       │                                    ┌─────────────────────┐
+       │                                    │   AgentEntity       │
+       │                                    │   (Durable Entity)  │
+       │                                    └──────────┬──────────┘
+       │                                               │
+       │                                    IAgentResponseHandler
+       │                                               │
+       │                                               ▼
+       │                                    ┌─────────────────────┐
+       │                                    │ RedisStreamResponse │
+       │                                    │      Handler        │
+       │                                    └──────────┬──────────┘
+       │                                               │
+       │                                     XADD (write)
+       │                                               │
+       │                                               ▼
+       │                                    ┌─────────────────────┐
+       └─────────── XREAD (poll) ────────── │   Redis Streams     │
+                                            │  (Durable Log)      │
+                                            └─────────────────────┘
+```
+
+### Data Flow
+
+1. **Client sends prompt**: The console app reads the prompt from stdin and generates a new agent thread.
+
+2. **Agent invoked**: The durable agent is signaled to run the travel planner agent. This is fire-and-forget from the console app's perspective.
+
+3. **Responses captured**: As the agent generates responses, the `RedisStreamResponseHandler` (implementing `IAgentResponseHandler`) extracts the text from each `AgentRunResponseUpdate` and publishes it to a Redis Stream keyed by the agent session's conversation ID.
+
+4. **Client polls Redis**: The console app streams events by polling the Redis Stream and printing chunks to stdout as they arrive.
+
+5. **Resumption**: If the client interrupts the stream (e.g., by pressing Enter in the sample), it can resume from the last cursor position by providing the conversation ID and cursor to the call to resume the stream.
+
+## Message Delivery Guarantees
+
+This sample provides **at-least-once delivery** with the following characteristics:
+
+- **Durability**: Messages are persisted to Redis Streams with configurable TTL (default: 10 minutes).
+- **Ordering**: Messages are delivered in order within a session.
+- **Real-time**: Chunks are printed as soon as they arrive from Redis.
+
+### Important Considerations
+
+- **No exactly-once delivery**: If a client disconnects exactly when receiving a message, it may receive that message again upon resumption. Clients should handle duplicate messages idempotently.
+- **TTL expiration**: Streams expire after the configured TTL. Clients cannot resume streams that have expired.
+- **Redis guarantees**: Redis streams are backed by Redis persistence mechanisms (RDB/AOF). Ensure your Redis instance is configured for durability as needed.
+
+## Configuration
+
+| Environment Variable | Description | Default |
+|---------------------|-------------|---------|
+| `REDIS_CONNECTION_STRING` | Redis connection string | `localhost:6379` |
+| `REDIS_STREAM_TTL_MINUTES` | How long streams are retained after last write | `10` |
+| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint URL | (required) |
+| `AZURE_OPENAI_DEPLOYMENT` | Azure OpenAI deployment name | (required) |
+| `AZURE_OPENAI_KEY` | API key (optional, uses Azure CLI auth if not set) | (optional) |
+
+## Cleanup
+
+To stop and remove the Redis Docker containers:
+
+```bash
+docker stop redis
+docker rm redis
+```

dotnet/samples/DurableAgents/ConsoleApps/07_ReliableStreaming/RedisStreamResponseHandler.cs

@@ -0,0 +1,216 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Runtime.CompilerServices;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using StackExchange.Redis;
+
+namespace ReliableStreaming;
+
+/// <summary>
+/// Represents a chunk of data read from a Redis stream.
+/// </summary>
+/// <param name="EntryId">The Redis stream entry ID (can be used as a cursor for resumption).</param>
+/// <param name="Text">The text content of the chunk, or null if this is a completion/error marker.</param>
+/// <param name="IsDone">True if this chunk marks the end of the stream.</param>
+/// <param name="Error">An error message if something went wrong, or null otherwise.</param>
+public readonly record struct StreamChunk(string EntryId, string? Text, bool IsDone, string? Error);
+
+/// <summary>
+/// An implementation of <see cref="IAgentResponseHandler"/> that publishes agent response updates
+/// to Redis Streams for reliable delivery. This enables clients to disconnect and reconnect
+/// to ongoing agent responses without losing messages.
+/// </summary>
+/// <remarks>
+/// <para>
+/// Redis Streams provide a durable, append-only log that supports consumer groups and message
+/// acknowledgment. This implementation uses auto-generated IDs (which are timestamp-based)
+/// as sequence numbers, allowing clients to resume from any point in the stream.
+/// </para>
+/// <para>
+/// Each agent session gets its own Redis Stream, keyed by session ID. The stream entries
+/// contain text chunks extracted from <see cref="AgentResponseUpdate"/> objects.
+/// </para>
+/// </remarks>
+public sealed class RedisStreamResponseHandler : IAgentResponseHandler
+{
+    private const int MaxEmptyReads = 300; // 5 minutes at 1 second intervals
+    private const int PollIntervalMs = 1000;
+
+    private readonly IConnectionMultiplexer _redis;
+    private readonly TimeSpan _streamTtl;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="RedisStreamResponseHandler" /> class.
+    /// </summary>
+    /// <param name="redis">The Redis connection multiplexer.</param>
+    /// <param name="streamTtl">The time-to-live for stream entries. Streams will expire after this duration of inactivity.</param>
+    public RedisStreamResponseHandler(IConnectionMultiplexer redis, TimeSpan streamTtl)
+    {
+        this._redis = redis;
+        this._streamTtl = streamTtl;
+    }
+
+    /// <inheritdoc/>
+    public async ValueTask OnStreamingResponseUpdateAsync(
+        IAsyncEnumerable<AgentResponseUpdate> messageStream,
+        CancellationToken cancellationToken)
+    {
+        // Get the current session ID from the DurableAgentContext
+        // This is set by the AgentEntity before invoking the response handler
+        DurableAgentContext context = DurableAgentContext.Current
+            ?? throw new InvalidOperationException("DurableAgentContext.Current is not set. This handler must be used within a durable agent context.");
+
+        // Get conversation ID from the current thread context, which is only available in the context of
+        // a durable agent execution.
+        string conversationId = context.CurrentThread.GetService<AgentSessionId>().ToString();
+        if (string.IsNullOrEmpty(conversationId))
+        {
+            throw new InvalidOperationException("Unable to determine conversation ID from the current thread.");
+        }
+
+        string streamKey = GetStreamKey(conversationId);
+
+        IDatabase db = this._redis.GetDatabase();
+        int sequenceNumber = 0;
+
+        await foreach (AgentResponseUpdate update in messageStream.WithCancellation(cancellationToken))
+        {
+            // Extract just the text content - this avoids serialization round-trip issues
+            string text = update.Text;
+
+            // Only publish non-empty text chunks
+            if (!string.IsNullOrEmpty(text))
+            {
+                // Create the stream entry with the text and metadata
+                NameValueEntry[] entries =
+                [
+                    new NameValueEntry("text", text),
+                    new NameValueEntry("sequence", sequenceNumber++),
+                    new NameValueEntry("timestamp", DateTimeOffset.UtcNow.ToUnixTimeMilliseconds()),
+                ];
+
+                // Add to the Redis Stream with auto-generated ID (timestamp-based)
+                await db.StreamAddAsync(streamKey, entries);
+
+                // Refresh the TTL on each write to keep the stream alive during active streaming
+                await db.KeyExpireAsync(streamKey, this._streamTtl);
+            }
+        }
+
+        // Add a sentinel entry to mark the end of the stream
+        NameValueEntry[] endEntries =
+        [
+            new NameValueEntry("text", ""),
+            new NameValueEntry("sequence", sequenceNumber),
+            new NameValueEntry("timestamp", DateTimeOffset.UtcNow.ToUnixTimeMilliseconds()),
+            new NameValueEntry("done", "true"),
+        ];
+        await db.StreamAddAsync(streamKey, endEntries);
+
+        // Set final TTL - the stream will be cleaned up after this duration
+        await db.KeyExpireAsync(streamKey, this._streamTtl);
+    }
+
+    /// <inheritdoc/>
+    public ValueTask OnAgentResponseAsync(AgentResponse message, CancellationToken cancellationToken)
+    {
+        // This handler is optimized for streaming responses.
+        // For non-streaming responses, we don't need to store in Redis since
+        // the response is returned directly to the caller.
+        return ValueTask.CompletedTask;
+    }
+
+    /// <summary>
+    /// Reads chunks from a Redis stream for the given session, yielding them as they become available.
+    /// </summary>
+    /// <param name="conversationId">The conversation ID to read from.</param>
+    /// <param name="cursor">Optional cursor to resume from. If null, reads from the beginning.</param>
+    /// <param name="cancellationToken">Cancellation token.</param>
+    /// <returns>An async enumerable of stream chunks.</returns>
+    public async IAsyncEnumerable<StreamChunk> ReadStreamAsync(
+        string conversationId,
+        string? cursor,
+        [EnumeratorCancellation] CancellationToken cancellationToken)
+    {
+        string streamKey = GetStreamKey(conversationId);
+
+        IDatabase db = this._redis.GetDatabase();
+        string startId = string.IsNullOrEmpty(cursor) ? "0-0" : cursor;
+
+        int emptyReadCount = 0;
+        bool hasSeenData = false;
+
+        while (!cancellationToken.IsCancellationRequested)
+        {
+            StreamEntry[]? entries = null;
+            string? errorMessage = null;
+
+            try
+            {
+                entries = await db.StreamReadAsync(streamKey, startId, count: 100);
+            }
+            catch (Exception ex)
+            {
+                errorMessage = ex.Message;
+            }
+
+            if (errorMessage != null)
+            {
+                yield return new StreamChunk(startId, null, false, errorMessage);
+                yield break;
+            }
+
+            // entries is guaranteed to be non-null if errorMessage is null
+            if (entries!.Length == 0)
+            {
+                if (!hasSeenData)
+                {
+                    emptyReadCount++;
+                    if (emptyReadCount >= MaxEmptyReads)
+                    {
+                        yield return new StreamChunk(
+                            startId,
+                            null,
+                            false,
+                            $"Stream not found or timed out after {MaxEmptyReads * PollIntervalMs / 1000} seconds");
+                        yield break;
+                    }
+                }
+
+                await Task.Delay(PollIntervalMs, cancellationToken);
+                continue;
+            }
+
+            hasSeenData = true;
+
+            foreach (StreamEntry entry in entries)
+            {
+                startId = entry.Id.ToString();
+                string? text = entry["text"];
+                string? done = entry["done"];
+
+                if (done == "true")
+                {
+                    yield return new StreamChunk(startId, null, true, null);
+                    yield break;
+                }
+
+                if (!string.IsNullOrEmpty(text))
+                {
+                    yield return new StreamChunk(startId, text, false, null);
+                }
+            }
+        }
+
+        // If we exited the loop due to cancellation, throw to signal the caller
+        cancellationToken.ThrowIfCancellationRequested();
+    }
+
+    /// <summary>
+    /// Gets the Redis Stream key for a given conversation ID.
+    /// </summary>
+    /// <param name="conversationId">The conversation ID.</param>
+    /// <returns>The Redis Stream key.</returns>
+    internal static string GetStreamKey(string conversationId) => $"agent-stream:{conversationId}";
+}

dotnet/samples/DurableAgents/ConsoleApps/08_SingleWorkflow/08_SingleWorkflow.csproj

@@ -0,0 +1,29 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>SingleWorkflow</AssemblyName>
+    <RootNamespace>SingleAgent</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.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/DurableAgents/ConsoleApps/08_SingleWorkflow/OrderCancelExecutor.cs

@@ -0,0 +1,128 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Represents an order in the system.
+/// </summary>
+internal sealed class Order
+{
+    public required string Id { get; set; }
+    public DateTime OrderDate { get; set; }
+    public bool IsCancelled { get; set; }
+    public required Customer Customer { get; set; }
+}
+
+/// <summary>
+/// Represents a customer associated with an order.
+/// </summary>
+internal sealed class Customer
+{
+    public string Name { get; set; } = string.Empty;
+    public string Email { get; set; } = string.Empty;
+}
+
+/// <summary>
+/// Looks up an order by its ID.
+/// This activity simulates a database lookup with a 2 second delay.
+/// </summary>
+internal sealed class OrderLookup() : Executor<string, Order>("OrderLookup")
+{
+    public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Log that this activity is executing (not replaying)
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine($"│ [Activity] OrderLookup: Starting lookup for order '{message}'");
+        Console.ResetColor();
+
+        // Simulate database lookup with delay
+        await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
+
+        Order order = new()
+        {
+            Id = message,
+            OrderDate = DateTime.UtcNow.AddDays(-1),
+            IsCancelled = false,
+            Customer = new Customer { Name = "Jerry", Email = "jerry@example.com" }
+        };
+
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine($"│ [Activity] OrderLookup: Found order '{message}' for customer '{order.Customer.Name}'");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return order;
+    }
+}
+
+/// <summary>
+/// Cancels an order.
+/// This activity simulates a slow cancellation process with a 5 second delay.
+/// Try pressing Ctrl+C during this activity to see durability in action!
+/// </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($"│ [Activity] OrderCancel: Starting cancellation for order '{message.Id}'");
+        Console.WriteLine("│ [Activity] OrderCancel: ⚠️  This takes 5 seconds - try Ctrl+C!");
+        Console.ResetColor();
+
+        // Simulate a slow cancellation process (e.g., calling external payment system)
+        // This is where you can kill the process to test durability
+        for (int i = 1; i <= 10; i++)
+        {
+            await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
+            Console.ForegroundColor = ConsoleColor.DarkYellow;
+            Console.WriteLine($"│ [Activity] OrderCancel: Processing... {i}/10 seconds");
+            Console.ResetColor();
+        }
+
+        // Mark the order as cancelled
+        message.IsCancelled = true;
+
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"│ [Activity] OrderCancel: ✓ Order '{message.Id}' has been cancelled");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return message;
+    }
+}
+
+/// <summary>
+/// Sends a cancellation confirmation email to the customer.
+/// This activity simulates sending an email with a 1 second delay.
+/// </summary>
+internal sealed class SendEmail() : Executor<Order, string>("SendEmail")
+{
+    public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Log that this activity is executing (not replaying)
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Cyan;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine($"│ [Activity] SendEmail: Sending email to '{message.Customer.Email}'...");
+        Console.ResetColor();
+
+        // Simulate email sending delay
+        await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
+
+        string result = $"Cancellation email sent to {message.Customer.Email} for order {message.Id}.";
+
+        Console.ForegroundColor = ConsoleColor.Cyan;
+        Console.WriteLine("│ [Activity] SendEmail: ✓ Email sent successfully!");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return result;
+    }
+}

dotnet/samples/DurableAgents/ConsoleApps/08_SingleWorkflow/Program.cs

@@ -0,0 +1,108 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to run a workflow as a durable orchestration from a console application.
+// The workflow consists of three executors: OrderLookup -> OrderCancel -> SendEmail.
+// It uses the DurableExecutionEnvironment which is injected via DI.
+//
+// DURABILITY DEMONSTRATION:
+// - Each activity has artificial delays to simulate real-world operations
+// - Stop the app (Ctrl+C or stop debugging) during the OrderCancel activity (5 seconds)
+// - Restart the application - the workflow will automatically resume!
+// - The Durable Task Framework will skip already-completed activities (OrderLookup)
+//   and continue from where it left off (OrderCancel)
+
+using Microsoft.Agents.AI.DurableTask;
+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 SingleAgent;
+
+// 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(
+            options => options.Workflows.AddWorkflow(cancelOrder),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+Console.WriteLine("Durable Workflow Sample");
+Console.WriteLine("Workflow: OrderLookup (2s) -> OrderCancel (5s) -> SendEmail (1s)");
+Console.WriteLine();
+Console.WriteLine("TIP: Stop the app during OrderCancel to test durability.");
+Console.WriteLine("     Restart - it will resume from where it left off.");
+Console.WriteLine();
+Console.WriteLine("Checking for pending workflows...");
+await Task.Delay(TimeSpan.FromSeconds(2));
+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
+    {
+        await StartNewWorkflowAsync(input, cancelOrder, workflowClient);
+    }
+    catch (Exception ex)
+    {
+        Console.WriteLine($"Error: {ex.Message}");
+    }
+
+    Console.WriteLine();
+}
+
+await host.StopAsync();
+
+// Start a new workflow using IWorkflowClient (no DurableTaskClient needed)
+async Task StartNewWorkflowAsync(string orderId, Workflow workflow, IWorkflowClient client)
+{
+    Console.WriteLine($"Starting workflow for order '{orderId}'...");
+
+    // RunAsync returns IRun, cast to DurableRun for durable-specific features like WaitForCompletionAsync
+    await using DurableRun run = (DurableRun)await client.RunAsync(workflow, orderId);
+    Console.WriteLine($"Instance ID: {run.InstanceId}");
+
+    try
+    {
+        string? result = await run.WaitForCompletionAsync();
+        Console.WriteLine($"Completed: {result}");
+    }
+    catch (InvalidOperationException ex)
+    {
+        Console.WriteLine($"Failed: {ex.Message}");
+    }
+}

dotnet/samples/DurableAgents/ConsoleApps/08_SingleWorkflow/README.md

@@ -0,0 +1,156 @@
+# Single Workflow Console Sample
+
+This sample demonstrates how to run a 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 can be resumed without re-executing completed activities.
+
+## Overview
+
+The sample implements an order cancellation workflow with three executors, each with artificial delays to simulate real-world operations:
+
+1. **OrderLookup** (2 seconds) - Looks up an order by its ID
+2. **OrderCancel** (5 seconds) - Marks the order as cancelled
+3. **SendEmail** (1 second) - 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 are replayed**: On restart, the orchestration replays from the beginning
+- **Completed activities are skipped**: The framework uses cached results for completed activities
+- **Failed activities are retried**: If an activity was interrupted, it runs again
+- **Automatic resume**: When the worker starts, it automatically picks up any pending work!
+
+### Try It Yourself
+
+1. Start the application and enter an order ID (e.g., `12345`)
+2. Stop the app (Ctrl+C or stop debugging) during the `OrderCancel` activity (5 seconds)
+3. Restart the application
+4. **Watch for automatic resume!** The worker automatically picks up the interrupted workflow
+5. Observe that `OrderLookup` is NOT re-executed (its result was cached)
+6. `OrderCancel` restarts from the beginning (it didn't complete)
+7. `SendEmail` runs after `OrderCancel` completes
+
+The durability is completely automatic - no manual intervention needed!
+
+## Workflow Flow
+
+```
+User Input (Order ID)
+       ?
+       ?
+???????????????????
+?  OrderLookup    ?  ? 2 second delay (database lookup)
+?  (2 seconds)    ?
+???????????????????
+         ?
+         ?
+???????????????????
+?  OrderCancel    ?  ? 5 second delay - TRY INTERRUPTING HERE!
+?  (5 seconds)    ?
+???????????????????
+         ?
+         ?
+???????????????????
+?   SendEmail     ?  ? 1 second delay (email sending)
+?  (1 second)     ?
+???????????????????
+         ?
+         ?
+      Result
+```
+
+## Key Concepts Demonstrated
+
+- **ConfigureDurableWorkflows** - Simplified API for registering workflows
+- **DurableExecution.RunAsync** - Start a new workflow (similar to InProcessExecution)
+- **DurableRun** - Handle to monitor and interact with a running workflow
+- **Automatic Resume** - Interrupted workflows continue automatically on restart
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/08_SingleWorkflow
+dotnet run --framework net10.0
+```
+
+### Sample Session
+
+```text
+??????????????????????????????????????????????????????????????????????
+?           Durable Workflow Console Sample                          ?
+??????????????????????????????????????????????????????????????????????
+?  This sample demonstrates durability in workflows.                 ?
+?  Workflow: OrderLookup (2s) -> OrderCancel (5s) -> SendEmail (1s)  ?
+??????????????????????????????????????????????????????????????????????
+
+?? TIP: Stop the app during OrderCancel (5 seconds) to test durability!
+   Restart the app - it will automatically resume from where it left off.
+
+? Checking for pending workflows...
+
+Enter an order ID to start a new workflow (or 'exit' to quit):
+
+Order ID: 12345
+
+Starting workflow for order '12345'...
+Instance ID: abc123-def456-...
+
+???????????????????????????????????????????????????????????????????
+? [Activity] OrderLookup: Starting lookup for order '12345'
+? [Activity] OrderLookup: Found order '12345' for customer 'Jerry'
+???????????????????????????????????????????????????????????????????
+
+???????????????????????????????????????????????????????????????????
+? [Activity] OrderCancel: Starting cancellation for order '12345'
+? [Activity] OrderCancel: ??  This takes 5 seconds - try Ctrl+C!
+? [Activity] OrderCancel: Processing... 1/5 seconds
+? [Activity] OrderCancel: Processing... 2/5 seconds
+^C   <-- User stops the app here
+
+[After restart...]
+
+? Checking for pending workflows...
+
+???????????????????????????????????????????????????????????????????
+? [Activity] OrderCancel: Starting cancellation for order '12345'  <-- Auto-resumed!
+? [Activity] OrderCancel: ??  This takes 5 seconds - try Ctrl+C!
+? [Activity] OrderCancel: Processing... 1/5 seconds
+...
+? [Activity] OrderCancel: ? Order '12345' has been cancelled
+???????????????????????????????????????????????????????????????????
+
+???????????????????????????????????????????????????????????????????
+? [Activity] SendEmail: Sending email to 'jerry@example.com'...
+? [Activity] SendEmail: ? Email sent successfully!
+???????????????????????????????????????????????????????????????????
+
+Enter an order ID to start a new workflow (or 'exit' to quit):
+
+Order ID: _
+```
+
+Notice that when resumed:
+- `OrderLookup` was **NOT re-executed** (result was cached by Durable Task)
+- `OrderCancel` **restarted automatically** (it was interrupted before completing)
+- `SendEmail` ran normally after `OrderCancel` completed
+
+## Viewing Workflow State
+
+You can view the state of the workflow in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can view the state of the orchestration, including activity history and current state
+
+## Related Samples
+
+- [01_SingleAgent](../01_SingleAgent) - Single agent console sample
+- [02_AgentOrchestration_Chaining](../02_AgentOrchestration_Chaining) - Agent chaining with durable orchestration
+- [05_AgentOrchestration_HITL](../05_AgentOrchestration_HITL) - Human-in-the-loop orchestration
+- [09_Workflow](../../AzureFunctions/09_Workflow) - Azure Functions version of workflow hosting

dotnet/samples/DurableAgents/ConsoleApps/09_SubWorkflows/09_SubWorkflows.csproj

@@ -0,0 +1,29 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>SubWorkflows</AssemblyName>
+    <RootNamespace>SubWorkflows</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.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/DurableAgents/ConsoleApps/09_SubWorkflows/Executors.cs

@@ -0,0 +1,266 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SubWorkflows;
+
+// ============================================
+// Order Processing Models
+// ============================================
+
+/// <summary>
+/// Represents an order being processed.
+/// </summary>
+internal sealed class OrderInfo
+{
+    public required string OrderId { get; set; }
+    public decimal Amount { get; set; }
+    public string? PaymentTransactionId { get; set; }
+    public string? InventoryReservationId { get; set; }
+    public string? TrackingNumber { get; set; }
+    public string? Carrier { get; set; }
+}
+
+// ============================================
+// Main Workflow Executors
+// ============================================
+
+/// <summary>
+/// Entry point executor that receives the order ID and creates an OrderInfo object.
+/// </summary>
+internal sealed class OrderReceived() : Executor<string, OrderInfo>("OrderReceived")
+{
+    public override ValueTask<OrderInfo> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Cyan;
+        Console.WriteLine($"[OrderReceived] Processing order '{message}'");
+        Console.ResetColor();
+
+        OrderInfo order = new()
+        {
+            OrderId = message,
+            Amount = 99.99m // Simulated order amount
+        };
+
+        return ValueTask.FromResult(order);
+    }
+}
+
+/// <summary>
+/// Final executor that outputs the completed order summary.
+/// </summary>
+internal sealed class OrderCompleted() : Executor<OrderInfo, string>("OrderCompleted")
+{
+    public override ValueTask<string> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Green;
+        Console.WriteLine("┌─────────────────────────────────────────────────────────────────┐");
+        Console.WriteLine($"│ [OrderCompleted] Order '{message.OrderId}' successfully processed!");
+        Console.WriteLine($"│   Payment: {message.PaymentTransactionId}");
+        Console.WriteLine($"│   Inventory: {message.InventoryReservationId}");
+        Console.WriteLine($"│   Shipping: {message.Carrier} - {message.TrackingNumber}");
+        Console.WriteLine("└─────────────────────────────────────────────────────────────────┘");
+        Console.ResetColor();
+
+        return ValueTask.FromResult($"Order {message.OrderId} completed. Tracking: {message.TrackingNumber}");
+    }
+}
+
+// ============================================
+// Payment Sub-Workflow Executors
+// ============================================
+
+/// <summary>
+/// Validates payment information for an order.
+/// </summary>
+internal sealed class ValidatePayment() : Executor<OrderInfo, OrderInfo>("ValidatePayment")
+{
+    public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"  [Payment/ValidatePayment] Validating payment for order '{message.OrderId}'...");
+        Console.ResetColor();
+
+        await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
+
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"  [Payment/ValidatePayment] Payment validated for ${message.Amount}");
+        Console.ResetColor();
+
+        return message;
+    }
+}
+
+// ============================================
+// Fraud Check Sub-Sub-Workflow Executors (Level 2 nesting)
+// ============================================
+
+/// <summary>
+/// Analyzes transaction patterns for potential fraud.
+/// </summary>
+internal sealed class AnalyzePatterns() : Executor<OrderInfo, OrderInfo>("AnalyzePatterns")
+{
+    public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.ForegroundColor = ConsoleColor.DarkYellow;
+        Console.WriteLine($"    [Payment/FraudCheck/AnalyzePatterns] Analyzing patterns for order '{message.OrderId}'...");
+        Console.ResetColor();
+
+        await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
+
+        Console.ForegroundColor = ConsoleColor.DarkYellow;
+        Console.WriteLine("    [Payment/FraudCheck/AnalyzePatterns] ✓ Pattern analysis complete");
+        Console.ResetColor();
+
+        return message;
+    }
+}
+
+/// <summary>
+/// Calculates a risk score for the transaction.
+/// </summary>
+internal sealed class CalculateRiskScore() : Executor<OrderInfo, OrderInfo>("CalculateRiskScore")
+{
+    public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.ForegroundColor = ConsoleColor.DarkYellow;
+        Console.WriteLine($"    [Payment/FraudCheck/CalculateRiskScore] Calculating risk score for order '{message.OrderId}'...");
+        Console.ResetColor();
+
+        await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
+
+        int riskScore = new Random().Next(1, 100);
+
+        Console.ForegroundColor = ConsoleColor.DarkYellow;
+        Console.WriteLine($"    [Payment/FraudCheck/CalculateRiskScore] ✓ Risk score: {riskScore}/100 (Low risk)");
+        Console.ResetColor();
+
+        return message;
+    }
+}
+
+/// <summary>
+/// Charges the payment for an order.
+/// </summary>
+internal sealed class ChargePayment() : Executor<OrderInfo, OrderInfo>("ChargePayment")
+{
+    public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"  [Payment/ChargePayment] Charging ${message.Amount} for order '{message.OrderId}'...");
+        Console.ResetColor();
+
+        await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
+
+        message.PaymentTransactionId = $"TXN-{Guid.NewGuid().ToString("N")[..8].ToUpperInvariant()}";
+
+        Console.ForegroundColor = ConsoleColor.Yellow;
+        Console.WriteLine($"  [Payment/ChargePayment] ✓ Payment processed: {message.PaymentTransactionId}");
+        Console.ResetColor();
+
+        return message;
+    }
+}
+
+// ============================================
+// Inventory Sub-Workflow Executors
+// ============================================
+
+/// <summary>
+/// Checks inventory availability for an order.
+/// </summary>
+internal sealed class CheckInventory() : Executor<OrderInfo, OrderInfo>("CheckInventory")
+{
+    public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine($"  [Inventory/CheckInventory] Checking inventory for order '{message.OrderId}'...");
+        Console.ResetColor();
+
+        await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
+
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine("  [Inventory/CheckInventory] ✓ Items available in stock");
+        Console.ResetColor();
+
+        return message;
+    }
+}
+
+/// <summary>
+/// Reserves inventory for an order.
+/// </summary>
+internal sealed class ReserveInventory() : Executor<OrderInfo, OrderInfo>("ReserveInventory")
+{
+    public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine($"  [Inventory/ReserveInventory] Reserving items for order '{message.OrderId}'...");
+        Console.ResetColor();
+
+        await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
+
+        message.InventoryReservationId = $"RES-{Guid.NewGuid().ToString("N")[..8].ToUpperInvariant()}";
+
+        Console.ForegroundColor = ConsoleColor.Magenta;
+        Console.WriteLine($"  [Inventory/ReserveInventory] ✓ Reserved: {message.InventoryReservationId}");
+        Console.ResetColor();
+
+        return message;
+    }
+}
+
+// ============================================
+// Shipping Sub-Workflow Executors
+// ============================================
+
+/// <summary>
+/// Selects a shipping carrier for an order.
+/// </summary>
+internal sealed class SelectCarrier() : Executor<OrderInfo, OrderInfo>("SelectCarrier")
+{
+    public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine();
+        Console.ForegroundColor = ConsoleColor.Blue;
+        Console.WriteLine($"  [Shipping/SelectCarrier] Selecting carrier for order '{message.OrderId}'...");
+        Console.ResetColor();
+
+        await Task.Delay(TimeSpan.FromSeconds(1), cancellationToken);
+
+        message.Carrier = message.Amount > 50 ? "Express" : "Standard";
+
+        Console.ForegroundColor = ConsoleColor.Blue;
+        Console.WriteLine($"  [Shipping/SelectCarrier] ✓ Selected carrier: {message.Carrier}");
+        Console.ResetColor();
+
+        return message;
+    }
+}
+
+/// <summary>
+/// Creates shipment and generates tracking number.
+/// </summary>
+internal sealed class CreateShipment() : Executor<OrderInfo, OrderInfo>("CreateShipment")
+{
+    public override async ValueTask<OrderInfo> HandleAsync(OrderInfo message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Console.ForegroundColor = ConsoleColor.Blue;
+        Console.WriteLine($"  [Shipping/CreateShipment] Creating shipment for order '{message.OrderId}'...");
+        Console.ResetColor();
+
+        await Task.Delay(TimeSpan.FromSeconds(2), cancellationToken);
+
+        message.TrackingNumber = $"TRACK-{Guid.NewGuid().ToString("N")[..10].ToUpperInvariant()}";
+
+        Console.ForegroundColor = ConsoleColor.Blue;
+        Console.WriteLine($"  [Shipping/CreateShipment] ✓ Shipment created: {message.TrackingNumber}");
+        Console.ResetColor();
+
+        return message;
+    }
+}

dotnet/samples/DurableAgents/ConsoleApps/09_SubWorkflows/Program.cs

@@ -0,0 +1,197 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use sub-workflows within a durable orchestration.
+// Sub-workflows allow you to compose complex workflows from simpler, reusable components.
+//
+// The sample implements an order processing workflow with three sub-workflows:
+// 1. PaymentProcessing - Validates and processes payment
+//    - Contains a nested FraudCheck sub-workflow (Level 2 nesting)
+// 2. InventoryManagement - Checks and reserves inventory
+// 3. ShippingArrangement - Arranges shipping and generates tracking
+//
+// The FraudCheck sub-workflow demonstrates Level 2 nesting (sub-workflow within sub-workflow):
+// - AnalyzePatterns - Analyzes transaction patterns
+// - CalculateRiskScore - Calculates fraud risk score
+//
+// Each sub-workflow runs as a separate orchestration instance, visible in the DTS dashboard.
+// This provides:
+// - Modular, reusable workflow components
+// - Independent checkpointing and replay
+// - Hierarchical visualization in the dashboard (including nested sub-workflows)
+// - Failure isolation between parent and child workflows
+
+using Microsoft.Agents.AI.DurableTask;
+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 SubWorkflows;
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+// ============================================
+// Step 1: Build the Fraud Check sub-sub-workflow (Level 2 nesting)
+// ============================================
+AnalyzePatterns analyzePatterns = new();
+CalculateRiskScore calculateRiskScore = new();
+
+Workflow fraudCheckWorkflow = new WorkflowBuilder(analyzePatterns)
+    .WithName("SubFraudCheck")
+    .WithDescription("Analyzes transaction patterns and calculates risk score")
+    .AddEdge(analyzePatterns, calculateRiskScore)
+    .Build();
+
+// ============================================
+// Step 2: Build the Payment Processing sub-workflow (now with nested sub-workflow)
+// ============================================
+ValidatePayment validatePayment = new();
+ExecutorBinding fraudCheckExecutor = fraudCheckWorkflow.BindAsExecutor("FraudCheck");
+ChargePayment chargePayment = new();
+
+Workflow paymentWorkflow = new WorkflowBuilder(validatePayment)
+    .WithName("SubPaymentProcessing")
+    .WithDescription("Validates and processes payment for an order")
+    .AddEdge(validatePayment, fraudCheckExecutor)
+    .AddEdge(fraudCheckExecutor, chargePayment)
+    .Build();
+
+// ============================================
+// Step 3: Build the Inventory Management sub-workflow
+// ============================================
+CheckInventory checkInventory = new();
+ReserveInventory reserveInventory = new();
+
+Workflow inventoryWorkflow = new WorkflowBuilder(checkInventory)
+    .WithName("SubInventoryManagement")
+    .WithDescription("Checks availability and reserves inventory")
+    .AddEdge(checkInventory, reserveInventory)
+    .Build();
+
+// ============================================
+// Step 4: Build the Shipping Arrangement sub-workflow
+// ============================================
+SelectCarrier selectCarrier = new();
+CreateShipment createShipment = new();
+
+Workflow shippingWorkflow = new WorkflowBuilder(selectCarrier)
+    .WithName("SubShippingArrangement")
+    .WithDescription("Selects carrier and creates shipment")
+    .AddEdge(selectCarrier, createShipment)
+    .Build();
+
+// ============================================
+// Step 5: Build the Main Order Processing workflow using sub-workflows
+// ============================================
+// Bind sub-workflows as executors for use in the main workflow
+ExecutorBinding paymentExecutor = paymentWorkflow.BindAsExecutor("Payment");
+ExecutorBinding inventoryExecutor = inventoryWorkflow.BindAsExecutor("Inventory");
+ExecutorBinding shippingExecutor = shippingWorkflow.BindAsExecutor("Shipping");
+
+// Create entry and exit executors for the main workflow
+OrderReceived orderReceived = new();
+OrderCompleted orderCompleted = new();
+
+// Build the main workflow: OrderReceived -> Payment -> Inventory -> Shipping -> OrderCompleted
+Workflow orderProcessingWorkflow = new WorkflowBuilder(orderReceived)
+    .WithName("OrderProcessing")
+    .WithDescription("Processes an order through payment, inventory, and shipping")
+    .AddEdge(orderReceived, paymentExecutor)
+    .AddEdge(paymentExecutor, inventoryExecutor)
+    .AddEdge(inventoryExecutor, shippingExecutor)
+    .AddEdge(shippingExecutor, orderCompleted)
+    .Build();
+
+// ============================================
+// Step 6: Configure and start the host
+// ============================================
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        // Register only the main workflow - sub-workflows are discovered automatically!
+        services.ConfigureDurableWorkflows(
+            options => options.Workflows.AddWorkflow(orderProcessingWorkflow),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the IWorkflowClient from DI
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+Console.WriteLine("╔══════════════════════════════════════════════════════════════════╗");
+Console.WriteLine("║           Durable Sub-Workflows Sample                           ║");
+Console.WriteLine("╠══════════════════════════════════════════════════════════════════╣");
+Console.WriteLine("║  Main Workflow: OrderProcessing                                  ║");
+Console.WriteLine("║  ├── Payment (sub-workflow)                                      ║");
+Console.WriteLine("║  │   ├── ValidatePayment (1s)                                    ║");
+Console.WriteLine("║  │   ├── FraudCheck (sub-sub-workflow) ← Level 2 nesting!        ║");
+Console.WriteLine("║  │   │   ├── AnalyzePatterns (1s)                                ║");
+Console.WriteLine("║  │   │   └── CalculateRiskScore (1s)                             ║");
+Console.WriteLine("║  │   └── ChargePayment (2s)                                      ║");
+Console.WriteLine("║  ├── Inventory (sub-workflow)                                    ║");
+Console.WriteLine("║  │   ├── CheckInventory (1s)                                     ║");
+Console.WriteLine("║  │   └── ReserveInventory (2s)                                   ║");
+Console.WriteLine("║  └── Shipping (sub-workflow)                                     ║");
+Console.WriteLine("║      ├── SelectCarrier (1s)                                      ║");
+Console.WriteLine("║      └── CreateShipment (2s)                                     ║");
+Console.WriteLine("╚══════════════════════════════════════════════════════════════════╝");
+Console.WriteLine();
+Console.WriteLine("Open the DTS dashboard at http://localhost:8080 to see the");
+Console.WriteLine("parent-child orchestration hierarchy in the Timeline view!");
+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
+    {
+        await StartNewWorkflowAsync(input, orderProcessingWorkflow, workflowClient);
+    }
+    catch (Exception ex)
+    {
+        Console.WriteLine($"Error: {ex.Message}");
+    }
+
+    Console.WriteLine();
+}
+
+await host.StopAsync();
+
+// Start a new workflow using IWorkflowClient
+async Task StartNewWorkflowAsync(string orderId, Workflow workflow, IWorkflowClient client)
+{
+    Console.WriteLine($"\nStarting order processing for '{orderId}'...");
+
+    await using DurableRun run = (DurableRun)await client.RunAsync(workflow, orderId);
+    Console.WriteLine($"Instance ID: {run.InstanceId}");
+    Console.WriteLine("Check the DTS dashboard Timeline tab to see sub-orchestrations!");
+    Console.WriteLine();
+
+    try
+    {
+        string? result = await run.WaitForCompletionAsync();
+        Console.ForegroundColor = ConsoleColor.Green;
+        Console.WriteLine($"✓ Order completed: {result}");
+        Console.ResetColor();
+    }
+    catch (InvalidOperationException ex)
+    {
+        Console.ForegroundColor = ConsoleColor.Red;
+        Console.WriteLine($"✗ Failed: {ex.Message}");
+        Console.ResetColor();
+    }
+}

dotnet/samples/DurableAgents/ConsoleApps/09_SubWorkflows/README.md

@@ -0,0 +1,153 @@
+# Sub-Workflows Console Sample
+
+This sample demonstrates how to compose workflows hierarchically by using sub-workflows within a durable orchestration. Sub-workflows are executed as separate orchestration instances, providing modularity, reusability, and excellent visibility in the Durable Task dashboard.
+
+## Overview
+
+The sample implements an order processing system with three sub-workflows:
+
+```
+OrderProcessing (Main Workflow)
+??? OrderReceived
+??? Payment (Sub-Workflow)
+?   ??? ValidatePayment (1s)
+?   ??? ChargePayment (2s)
+??? Inventory (Sub-Workflow)
+?   ??? CheckInventory (1s)
+?   ??? ReserveInventory (2s)
+??? Shipping (Sub-Workflow)
+?   ??? SelectCarrier (1s)
+?   ??? CreateShipment (2s)
+??? OrderCompleted
+```
+
+## Key Concepts
+
+### Sub-Workflow Benefits
+
+1. **Modularity**: Each sub-workflow encapsulates related logic (payment, inventory, shipping)
+2. **Reusability**: Sub-workflows can be used in multiple parent workflows
+3. **Independent Execution**: Each sub-workflow runs as a separate orchestration instance
+4. **Dashboard Visibility**: Sub-workflows appear in the Timeline view with parent-child relationships
+5. **Failure Isolation**: A failure in a sub-workflow doesn't corrupt the parent's state
+
+### How Sub-Workflows Work
+
+```csharp
+// Step 1: Build a sub-workflow
+Workflow paymentWorkflow = new WorkflowBuilder(validatePayment)
+    .WithName("PaymentProcessing")
+    .AddEdge(validatePayment, chargePayment)
+    .Build();
+
+// Step 2: Bind it as an executor for use in a parent workflow
+ExecutorBinding paymentExecutor = paymentWorkflow.BindAsExecutor("Payment");
+
+// Step 3: Use the sub-workflow executor in the main workflow
+Workflow mainWorkflow = new WorkflowBuilder(orderReceived)
+    .AddEdge(orderReceived, paymentExecutor)  // Sub-workflow as an edge target
+    .AddEdge(paymentExecutor, inventoryExecutor)
+    .Build();
+
+// Step 4: Register only the main workflow - sub-workflows are discovered automatically!
+services.ConfigureDurableWorkflows(
+    options => options.Workflows.AddWorkflow(mainWorkflow),
+    ...);
+```
+
+### Dashboard Visualization
+
+Open the DTS dashboard at `http://localhost:8080` after running a workflow:
+
+1. Click on the main orchestration instance
+2. Switch to the **Timeline** tab
+3. You'll see a hierarchical view showing:
+   - `OrderProcessing` (parent orchestration)
+   - `PaymentProcessing` (sub-orchestration)
+   - `InventoryManagement` (sub-orchestration)
+   - `ShippingArrangement` (sub-orchestration)
+
+Each sub-orchestration has its own instance ID and can be inspected independently.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for information on:
+- Installing prerequisites (.NET 10+, Docker)
+- Starting the Durable Task Scheduler emulator
+- Configuring environment variables
+
+## Running the Sample
+
+```bash
+# Start the DTS emulator (if not already running)
+docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest
+
+# Run the sample
+cd dotnet/samples/DurableAgents/ConsoleApps/09_SubWorkflows
+dotnet run --framework net10.0
+```
+
+### Sample Session
+
+```text
+????????????????????????????????????????????????????????????????????
+?           Durable Sub-Workflows Sample                           ?
+????????????????????????????????????????????????????????????????????
+?  Main Workflow: OrderProcessing                                  ?
+?  ??? Payment (sub-workflow)                                      ?
+?  ?   ??? ValidatePayment (1s)                                    ?
+?  ?   ??? ChargePayment (2s)                                      ?
+?  ??? Inventory (sub-workflow)                                    ?
+?  ?   ??? CheckInventory (1s)                                     ?
+?  ?   ??? ReserveInventory (2s)                                   ?
+?  ??? Shipping (sub-workflow)                                     ?
+?      ??? SelectCarrier (1s)                                      ?
+?      ??? CreateShipment (2s)                                     ?
+????????????????????????????????????????????????????????????????????
+
+Open the DTS dashboard at http://localhost:8080 to see the
+parent-child orchestration hierarchy in the Timeline view!
+
+Enter an order ID (or 'exit'):
+> ORD-12345
+
+Starting order processing for 'ORD-12345'...
+Instance ID: abc123def456
+Check the DTS dashboard Timeline tab to see sub-orchestrations!
+
+[OrderReceived] Processing order 'ORD-12345'
+  [Payment/ValidatePayment] Validating payment for order 'ORD-12345'...
+  [Payment/ValidatePayment] Payment validated for $99.99
+  [Payment/ChargePayment] Charging $99.99 for order 'ORD-12345'...
+  [Payment/ChargePayment] ? Payment processed: TXN-A1B2C3D4
+  [Inventory/CheckInventory] Checking inventory for order 'ORD-12345'...
+  [Inventory/CheckInventory] ? Items available in stock
+  [Inventory/ReserveInventory] Reserving items for order 'ORD-12345'...
+  [Inventory/ReserveInventory] ? Reserved: RES-E5F6G7H8
+  [Shipping/SelectCarrier] Selecting carrier for order 'ORD-12345'...
+  [Shipping/SelectCarrier] ? Selected carrier: Express
+  [Shipping/CreateShipment] Creating shipment for order 'ORD-12345'...
+  [Shipping/CreateShipment] ? Shipment created: TRACK-I9J0K1L2M3
+???????????????????????????????????????????????????????????????????
+? [OrderCompleted] Order 'ORD-12345' successfully processed!
+?   Payment: TXN-A1B2C3D4
+?   Inventory: RES-E5F6G7H8
+?   Shipping: Express - TRACK-I9J0K1L2M3
+???????????????????????????????????????????????????????????????????
+? Order completed. Tracking: TRACK-I9J0K1L2M3
+```
+
+## Comparison with In-Process Sub-Workflows
+
+| Feature | In-Process | Durable |
+|---------|------------|---------|
+| Execution | Same process, synchronized supersteps | Separate orchestration instances |
+| Visibility | Single workflow view | Hierarchical dashboard view |
+| Checkpointing | Parent checkpoints include child state | Independent checkpoints per sub-workflow |
+| Failure Recovery | Parent must handle child failures | Automatic retry with state preservation |
+| Scalability | Single process | Can scale across workers |
+
+## Related Samples
+
+- [06_SubWorkflows (In-Process)](../../../GettingStarted/Workflows/_Foundational/06_SubWorkflows) - In-process sub-workflow execution
+- [08_SingleWorkflow](../08_SingleWorkflow) - Basic durable workflow without sub-workflows

dotnet/samples/DurableAgents/ConsoleApps/09_Workflow_Concurrency/09_Workflow_Concurrency.csproj

@@ -0,0 +1,31 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>SingleWorkflow</AssemblyName>
+    <RootNamespace>SingleAgent</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.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/DurableAgents/ConsoleApps/09_Workflow_Concurrency/ExpertExecutors.cs

@@ -0,0 +1,67 @@
+// 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);
+    }
+}

dotnet/samples/DurableAgents/ConsoleApps/09_Workflow_Concurrency/Program.cs

@@ -0,0 +1,136 @@
+// 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 (4 Executors):
+//
+//     ┌──────────────────┐
+//     │  ParseQuestion   │  ← Class-based Executor
+//     └────────┬─────────┘
+//              │
+//     ┌────────┴────────┐
+//     ▼                 ▼
+// ┌──────────┐   ┌──────────┐
+// │ Physicist│   │ Chemist  │  ← AI Agents (parallel)
+// └────┬─────┘   └────┬─────┘
+//      │              │
+//      └──────┬───────┘
+//             ▼
+//     ┌──────────────────┐
+//     │   Aggregator     │  ← Class-based Executor
+//     └──────────────────┘
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+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();                                                                          // Executor 1: Class-based
+AIAgent physicist = chatClient.AsAIAgent("You are a physics expert. Be concise (2-3 sentences).", "Physicist");       // Executor 2: AI Agent
+AIAgent chemist = chatClient.AsAIAgent("You are a chemistry expert. Be concise (2-3 sentences).", "Chemist");         // Executor 3: AI Agent
+AggregatorExecutor aggregator = new();                                                                                // Executor 4: Class-based
+
+// 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.ConfigureDurableWorkflows(
+            options => options.Workflows.AddWorkflow(workflow),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+// Console UI
+Console.ForegroundColor = ConsoleColor.Cyan;
+Console.WriteLine("╔═══════════════════════════════════════════════════════════════════════╗");
+Console.WriteLine("║  Fan-out/Fan-in Workflow Sample (4 Executors)                         ║");
+Console.WriteLine("║                                                                       ║");
+Console.WriteLine("║  ParseQuestion → [Physicist, Chemist] → Aggregator                    ║");
+Console.WriteLine("║  (class-based)    (AI agents, parallel)  (class-based)                ║");
+Console.WriteLine("╚═══════════════════════════════════════════════════════════════════════╝");
+Console.ResetColor();
+Console.WriteLine();
+
+await Task.Delay(TimeSpan.FromSeconds(2)); // Allow pending workflows to resume
+
+Console.WriteLine("Enter a science question (or 'exit' to quit):");
+Console.WriteLine();
+
+while (true)
+{
+    Console.ForegroundColor = ConsoleColor.Yellow;
+    Console.Write("Question: ");
+    Console.ResetColor();
+
+    string? input = Console.ReadLine();
+    if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
+    {
+        break;
+    }
+
+    try
+    {
+        // Cast to DurableRun for durable-specific features like InstanceId and WaitForCompletionAsync
+        await using DurableRun run = (DurableRun)await workflowClient.RunAsync(workflow, input);
+        Console.ForegroundColor = ConsoleColor.Gray;
+        Console.WriteLine($"Instance: {run.InstanceId}");
+        Console.ResetColor();
+
+        string? result = await run.WaitForCompletionAsync();
+
+        Console.ForegroundColor = ConsoleColor.Green;
+        Console.WriteLine("\n✓ Workflow completed!\n");
+        Console.ResetColor();
+        Console.WriteLine(result);
+    }
+    catch (Exception ex)
+    {
+        Console.ForegroundColor = ConsoleColor.Red;
+        Console.WriteLine($"✗ Error: {ex.Message}");
+        Console.ResetColor();
+    }
+
+    Console.WriteLine();
+}
+
+await host.StopAsync();

dotnet/samples/DurableAgents/ConsoleApps/09_Workflow_Concurrency/README.md

@@ -0,0 +1,160 @@
+# Fan-out/Fan-in Workflow with AI Agents
+
+This sample demonstrates the **Fan-out/Fan-in pattern** using real AI agents in a durable workflow. A question is sent to multiple AI "expert" agents in parallel, and their responses are aggregated into a final result.
+
+## Overview
+
+The sample implements an expert consultation workflow using Azure OpenAI:
+- A question is parsed and prepared
+- The question is sent to **2 AI agents in parallel** (Fan-out)
+- AI agent responses are **collected and aggregated** (Fan-in)
+
+### Components
+
+| Component | Type | Description |
+|-----------|------|-------------|
+| ParseQuestion | Executor | Validates and formats the incoming question |
+| Physicist | AI Agent | Azure OpenAI agent with physics expertise |
+| Chemist | AI Agent | Azure OpenAI agent with chemistry expertise |
+| Aggregator | Executor | Combines all AI agent responses |
+
+## Workflow Pattern
+
+```
+                    ???????????????????
+                    ?  ParseQuestion  ?
+                    ???????????????????
+                             ?
+              ???????????????????????????????
+              ?                             ?
+              ?                             ?
+     ???????????????????           ???????????????????
+     ?    Physicist    ?           ?     Chemist     ?
+     ?   (AI Agent)    ?           ?   (AI Agent)    ?
+     ???????????????????           ???????????????????
+              ?                             ?
+              ?    PARALLEL EXECUTION       ?
+              ?                             ?
+              ???????????????????????????????
+                             ?
+                             ?
+                  ???????????????????
+                  ?   Aggregator    ?
+                  ???????????????????
+```
+
+## Key Concepts Demonstrated
+
+- **Fan-out (AddFanOutEdge)**: One executor sends to multiple AI agents in parallel
+- **Fan-in (AddFanInEdge)**: Multiple AI agent results are collected into an array
+- **AI Agents in Workflows**: Using Azure OpenAI agents as workflow executors
+- **Durability**: If interrupted, completed AI agent responses are preserved on restart
+
+## Configuration
+
+When using AI agents in durable workflows, `ConfigureDurableWorkflows` automatically registers any AI agents found in the workflow. You only need a single configuration call:
+
+```csharp
+services.ConfigureDurableWorkflows(
+    options => options.Workflows.AddWorkflow(expertReview),
+    workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+    clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+```
+
+This is similar to how `ConfigureDurableOptions` works in Azure Functions samples.
+
+## Environment Setup
+
+This sample requires:
+1. **Durable Task Scheduler** - See the [parent README](../README.md) for setup instructions
+2. **Azure OpenAI** - You need an Azure OpenAI resource with a deployed model
+
+### Environment Variables
+
+| Variable | Description |
+|----------|-------------|
+| `DURABLE_TASK_SCHEDULER_CONNECTION_STRING` | Connection string for DTS (defaults to local emulator) |
+| `AZURE_OPENAI_ENDPOINT` | Your Azure OpenAI endpoint URL |
+| `AZURE_OPENAI_DEPLOYMENT` | Name of your deployed model (e.g., `gpt-4`) |
+| `AZURE_OPENAI_KEY` | (Optional) API key - if not set, uses Azure CLI credential |
+
+## Running the Sample
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/09_Workflow_Concurrency
+dotnet run --framework net10.0
+```
+
+### Sample Session
+
+```text
+??????????????????????????????????????????????????????????????????????
+?           Fan-out/Fan-in Workflow with AI Agents                   ?
+??????????????????????????????????????????????????????????????????????
+?  This sample demonstrates parallel AI agent consultation.          ?
+?                                                                    ?
+?  Workflow: Question ? [Physicist, Chemist] ? Aggregator            ?
+?                  (AI agents run in parallel)                       ?
+??????????????????????????????????????????????????????????????????????
+
+?? TIP: Stop during execution to test durability - completed agent responses are preserved!
+
+? Checking for pending workflows...
+
+Enter a science question (or 'exit' to quit):
+  Example: "What is water?"
+
+Question: What is water
+
+Starting expert review workflow...
+Instance ID: abc123-def456-...
+
+???????????????????????????????????????????????????????????????????
+? [ParseQuestion] Preparing question for AI agents...
+? [ParseQuestion] Question: "What is water?"
+? [ParseQuestion] ? Sending to Physicist and Chemist in PARALLEL...
+???????????????????????????????????????????????????????????????????
+
+... (AI agents process in parallel)
+
+???????????????????????????????????????????????????????????????????
+? [Aggregator] ?? Received 2 AI agent responses
+? [Aggregator] Combining into comprehensive answer...
+? [Aggregator] ? Aggregation complete!
+???????????????????????????????????????????????????????????????????
+
+??????????????????????????????????????????????????????????????????????
+?  ? Expert review completed!                                        ?
+??????????????????????????????????????????????????????????????????????
+
+???????????????????????????????????????????????????????????????
+                    AI EXPERT PANEL RESPONSES
+???????????????????????????????????????????????????????????????
+
+?? PHYSICIST:
+Water is H2O - two hydrogen atoms bonded to one oxygen atom. From a physics 
+perspective, water exhibits unique properties like high specific heat capacity 
+and surface tension due to hydrogen bonding.
+
+?? CHEMIST:
+Water (H2O) is a polar molecule formed by covalent bonds. Its bent molecular 
+geometry creates a dipole moment, making it an excellent solvent for ionic 
+and polar compounds.
+
+???????????????????????????????????????????????????????????????
+Summary: Received perspectives from 2 AI experts.
+???????????????????????????????????????????????????????????????
+```
+
+## Durability with AI Agents
+
+If you stop the application while one AI agent is processing:
+- The completed agent's response is **preserved** (cached by Durable Task)
+- On restart, only the incomplete agent **re-runs**
+- The aggregator waits for all agents to complete
+
+## Related Samples
+
+- [08_SingleWorkflow](../08_SingleWorkflow) - Sequential workflow with durability demonstration
+- [10_WorkflowConcurrent](../../AzureFunctions/10_WorkflowConcurrent) - Azure Functions version
+- [02_AgentOrchestration_Chaining](../02_AgentOrchestration_Chaining) - Agent chaining with durable orchestration

dotnet/samples/DurableAgents/ConsoleApps/10_Workflow_HITL/10_Workflow_HITL.csproj

@@ -0,0 +1,29 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>SingleWorkflow</AssemblyName>
+    <RootNamespace>SingleAgent</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.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/DurableAgents/ConsoleApps/10_Workflow_HITL/CreateApprovalRequest.cs

@@ -0,0 +1,27 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+public record ApprovalRequest(string ExpenseId, decimal Amount, string EmployeeName);
+public record ApprovalResponse(bool Approved, string? Comments);
+
+internal sealed class CreateApprovalRequest() : Executor<string, ApprovalRequest>("RetrieveRequest")
+{
+    public override async ValueTask<ApprovalRequest> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Get request details from db.
+        return new ApprovalRequest(message, 1500.00m, "Jerry");
+    }
+}
+
+internal sealed class ExpenseReimburse() : Executor<ApprovalResponse, string>("Reimburse")
+{
+    public override async ValueTask<string> HandleAsync(ApprovalResponse message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Simulate payment processing.
+        await Task.Delay(1000, cancellationToken);
+        return $"Expense reimbursed at {DateTime.Now.ToUniversalTime()}";
+    }
+}

dotnet/samples/DurableAgents/ConsoleApps/10_Workflow_HITL/Program.cs

@@ -0,0 +1,105 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates a Human-in-the-Loop (HITL) workflow using Durable Tasks.
+// The workflow creates an expense approval request, waits for manager approval via an external event,
+// and then processes the expense reimbursement based on the approval response.
+// This sample mirrors the pattern used in the in-process HumanInTheLoopBasic sample.
+
+using Microsoft.Agents.AI.DurableTask;
+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 SingleAgent;
+
+// 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
+CreateApprovalRequest createRequest = new();
+RequestPort<ApprovalRequest, ApprovalResponse> managerApproval = RequestPort.Create<ApprovalRequest, ApprovalResponse>("ManagerApproval");
+ExpenseReimburse reimburse = new();
+
+Workflow expenseApproval = new WorkflowBuilder(createRequest)
+    .WithName("ExpenseReImbursement")
+    .WithDescription("Expense ReImbursement")
+    .AddEdge(createRequest, managerApproval)
+    .AddEdge(managerApproval, reimburse)
+    .Build();
+
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableWorkflows(
+            options => options.Workflows.AddWorkflow(expenseApproval),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+// Start the workflow with an expense ID as input
+string expenseId = "EXP-2025-001";
+Console.WriteLine($"Starting expense reimbursement workflow for expense: {expenseId}");
+
+// Start the workflow and get a streaming handle
+// Cast to DurableStreamingRun for durable-specific features like InstanceId and SendResponseAsync
+await using DurableStreamingRun run = (DurableStreamingRun)await workflowClient.StreamAsync(expenseApproval, expenseId);
+
+Console.WriteLine($"Workflow started with instance ID: {run.InstanceId}");
+Console.WriteLine("Watching for workflow events...\n");
+
+// Watch for workflow events - similar pattern to InProcessExecution.StreamAsync
+await foreach (WorkflowEvent evt in run.WatchStreamAsync())
+{
+    switch (evt)
+    {
+        case DurableRequestInfoEvent requestEvent:
+            // Handle request for external input (human-in-the-loop)
+            Console.WriteLine($"Workflow is waiting for input at RequestPort: {requestEvent.RequestPortId}");
+            Console.WriteLine($"  Input data: {requestEvent.Input}");
+            Console.WriteLine($"  Expected response type: {requestEvent.ResponseType}");
+
+            // Simulate manager approval
+            ApprovalResponse response = HandleApprovalRequest(requestEvent);
+            await run.SendResponseAsync(requestEvent, response);
+            Console.WriteLine($"  Response sent: Approved={response.Approved}\n");
+            break;
+
+        case DurableWorkflowCompletedEvent completedEvent:
+            // The workflow has completed
+            Console.WriteLine($"Workflow completed with result: {completedEvent.Result}");
+            break;
+
+        case DurableWorkflowFailedEvent failedEvent:
+            // The workflow has failed
+            Console.WriteLine($"Workflow failed: {failedEvent.ErrorMessage}");
+            break;
+    }
+}
+
+Console.ReadLine();
+await host.StopAsync();
+
+// Handler for approval requests - similar to HandleExternalRequest in the in-process sample
+static ApprovalResponse HandleApprovalRequest(DurableRequestInfoEvent requestEvent)
+{
+    // In a real scenario, this would involve human interaction (e.g., a web UI)
+    // For this sample, we simulate automatic approval
+    ApprovalRequest? request = requestEvent.GetInputAs<ApprovalRequest>();
+
+    if (request is not null)
+    {
+        Console.WriteLine($"  Approval request for: {request.EmployeeName}, Amount: {request.Amount:C}");
+    }
+
+    return new ApprovalResponse(Approved: true, Comments: "Approved by manager. Looks good!");
+}

dotnet/samples/DurableAgents/ConsoleApps/10_Workflow_HITL/README.md

@@ -0,0 +1,96 @@
+# Workflow Human-in-the-Loop (HITL) Sample
+
+This sample demonstrates a **Human-in-the-Loop** pattern in durable workflows using `RequestPort`. The workflow pauses execution to wait for external input (e.g., manager approval) and resumes when the response is provided.
+
+## Overview
+
+The sample implements an expense approval workflow:
+
+1. **CreateApprovalRequest** - Retrieves expense details and creates an approval request
+2. **ManagerApproval** (RequestPort) - Pauses workflow to wait for manager approval
+3. **ExpenseReimburse** - Processes the reimbursement based on approval response
+
+## Workflow Flow
+
+```
+User Input (Expense ID)
+       |
+       v
++---------------------+
+| CreateApprovalRequest|  Creates ApprovalRequest with expense details
++---------------------+
+       |
+       v
++---------------------+
+|  ManagerApproval    |  RequestPort - PAUSES here waiting for external input
+|   (RequestPort)     |  Workflow is durable while waiting
++---------------------+
+       |
+       v  (ApprovalResponse)
++---------------------+
+|  ExpenseReimburse   |  Processes reimbursement if approved
++---------------------+
+       |
+       v
+    Result
+```
+
+## Key Concepts
+
+- **RequestPort** - A special executor that pauses the workflow and waits for external input
+- **DurableRequestInfoEvent** - Event emitted when the workflow reaches a RequestPort
+- **SendResponseAsync** - Method to provide the response and resume the workflow
+- **Durability** - The workflow can survive process restarts while waiting for human input
+
+## Code Highlights
+
+### Defining the RequestPort
+
+```csharp
+RequestPort<ApprovalRequest, ApprovalResponse> managerApproval = 
+    RequestPort.Create<ApprovalRequest, ApprovalResponse>("ManagerApproval");
+```
+
+### Handling the Request Event
+
+```csharp
+await foreach (WorkflowEvent evt in run.WatchStreamAsync())
+{
+    switch (evt)
+    {
+        case DurableRequestInfoEvent requestEvent:
+            // Workflow is waiting for input
+            ApprovalResponse response = HandleApprovalRequest(requestEvent);
+            await run.SendResponseAsync(requestEvent, response);
+            break;
+        // ... other events
+    }
+}
+```
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for environment configuration.
+
+## Running the Sample
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/10_Workflow_HITL
+dotnet run --framework net10.0
+```
+
+### Sample Output
+
+```
+Starting expense reimbursement workflow for expense: EXP-2025-001
+Workflow started with instance ID: abc123...
+Watching for workflow events...
+
+Workflow is waiting for input at RequestPort: ManagerApproval
+  Input data: {"ExpenseId":"EXP-2025-001","Amount":1500.00,"EmployeeName":"Jerry"}
+  Expected response type: SingleAgent.ApprovalResponse
+  Approval request for: Jerry, Amount: $1,500.00
+  Response sent: Approved=True
+
+Workflow completed with result: Expense reimbursed at 1/23/2025 5:30:00 PM
+```

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/11_WorkflowEvents.csproj

@@ -0,0 +1,29 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>SingleWorkflow</AssemblyName>
+    <RootNamespace>SingleAgent</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.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/CancellationProgressEvent.cs

@@ -0,0 +1,16 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Event emitted to report cancellation progress.
+/// </summary>
+public sealed class CancellationProgressEvent(string orderId, int percentComplete, string status)
+    : WorkflowEvent($"Cancellation {percentComplete}%: {status}")
+{
+    public string OrderId { get; } = orderId;
+    public int PercentComplete { get; } = percentComplete;
+    public string Status { get; } = status;
+}

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/EmailSentEvent.cs

@@ -0,0 +1,14 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Event emitted when an email is sent.
+/// </summary>
+public sealed class EmailSentEvent(string email, string subject) : WorkflowEvent($"Email sent to {email}")
+{
+    public string Email { get; } = email;
+    public string Subject { get; } = subject;
+}

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/OrderCancelExecutor.cs

@@ -0,0 +1,117 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use IWorkflowContext methods in your executors:
+// - AddEventAsync: Emit custom events that can be observed by the workflow caller
+// - YieldOutputAsync: Stream intermediate outputs during execution
+//
+// These features enable rich observability and control over workflow execution.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+#region Domain Models
+
+/// <summary>
+/// Represents an order in the system.
+/// </summary>
+public sealed class Order
+{
+    public required string Id { get; set; }
+    public DateTime OrderDate { get; set; }
+    public bool IsCancelled { get; set; }
+    public required Customer Customer { get; set; }
+}
+
+/// <summary>
+/// Represents a customer associated with an order.
+/// </summary>
+public sealed class Customer
+{
+    public string Name { get; set; } = string.Empty;
+    public string Email { get; set; } = string.Empty;
+}
+
+#endregion
+#region Custom Workflow Events
+
+#endregion
+
+#region Executors
+
+/// <summary>
+/// Looks up an order by its ID. Demonstrates AddEventAsync for custom events.
+/// </summary>
+internal sealed class OrderLookup() : Executor<string, Order>("OrderLookup")
+{
+    public override async ValueTask<Order> HandleAsync(
+        string message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        await context.AddEventAsync(new OrderLookupStartedEvent(message), cancellationToken);
+        await Task.Delay(500, cancellationToken);
+
+        Order order = new()
+        {
+            Id = message,
+            OrderDate = DateTime.UtcNow.AddDays(-3),
+            IsCancelled = false,
+            Customer = new Customer { Name = "Jerry", Email = "jerry@example.com" }
+        };
+
+        await context.AddEventAsync(new OrderFoundEvent(order), cancellationToken);
+        return order;
+    }
+}
+
+/// <summary>
+/// Cancels an order with progress reporting.
+/// Demonstrates AddEventAsync for progress events and YieldOutputAsync for streaming outputs.
+/// </summary>
+internal sealed class OrderCancel() : Executor<Order, Order>("OrderCancel")
+{
+    public override async ValueTask<Order> HandleAsync(
+        Order message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        // Simulate cancellation steps with progress events
+        string[] steps = ["Validating", "Processing refund", "Finalizing"];
+        for (int i = 0; i < steps.Length; i++)
+        {
+            await Task.Delay(500, cancellationToken);
+            int percent = (i + 1) * 33;
+
+            // Emit progress event (callers can observe this in real-time)
+            await context.AddEventAsync(new CancellationProgressEvent(message.Id, percent, steps[i]), cancellationToken);
+
+            // YieldOutputAsync streams intermediate results matching the executor's return type
+            await context.YieldOutputAsync(message, cancellationToken);
+        }
+
+        message.IsCancelled = true;
+        await context.AddEventAsync(new OrderCancelledEvent(message.Id), cancellationToken);
+        return message;
+    }
+}
+
+/// <summary>
+/// Sends a cancellation confirmation email. Demonstrates AddEventAsync for completion events.
+/// </summary>
+internal sealed class SendEmail() : Executor<Order, string>("SendEmail")
+{
+    public override async ValueTask<string> HandleAsync(
+        Order message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        await Task.Delay(500, cancellationToken);
+
+        string email = message.Customer.Email;
+        await context.AddEventAsync(new EmailSentEvent(email, $"Order {message.Id} Cancelled"), cancellationToken);
+        return $"Email sent to {email}";
+    }
+}
+
+#endregion

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/OrderCancelledEvent.cs

@@ -0,0 +1,13 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Event emitted when an order is successfully cancelled.
+/// </summary>
+public sealed class OrderCancelledEvent(string orderId) : WorkflowEvent($"Order {orderId} has been cancelled")
+{
+    public string OrderId { get; } = orderId;
+}

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/OrderFoundEvent.cs

@@ -0,0 +1,13 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Event emitted when an order is found.
+/// </summary>
+public sealed class OrderFoundEvent(Order order) : WorkflowEvent($"Found order {order.Id} for {order.Customer.Name}")
+{
+    public Order Order { get; } = order;
+}

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/OrderLookupStartedEvent.cs

@@ -0,0 +1,13 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Event emitted when an order lookup starts.
+/// </summary>
+public sealed class OrderLookupStartedEvent(string orderId) : WorkflowEvent($"Looking up order {orderId}")
+{
+    public string OrderId { get; } = orderId;
+}

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/Program.cs

@@ -0,0 +1,139 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// ═══════════════════════════════════════════════════════════════════════════════
+// SAMPLE: Workflow Events and IWorkflowContext Features
+// ═══════════════════════════════════════════════════════════════════════════════
+//
+// This sample demonstrates how to use IWorkflowContext methods in executors:
+//
+// 1. AddEventAsync     - Emit custom events that callers can observe in real-time
+// 2. YieldOutputAsync  - Stream intermediate outputs during long-running operations
+//
+// The sample uses DurableExecutionEnvironment.StreamAsync to observe events as they occur,
+// showing how callers can receive real-time updates from the workflow.
+//
+// Workflow: OrderLookup -> OrderCancel -> SendEmail
+// ═══════════════════════════════════════════════════════════════════════════════
+
+using Microsoft.Agents.AI.DurableTask;
+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 SingleAgent;
+
+// 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 and build workflow
+OrderLookup orderLookup = new();
+OrderCancel orderCancel = new();
+SendEmail sendEmail = new();
+
+Workflow cancelOrder = new WorkflowBuilder(orderLookup)
+    .WithName("CancelOrder")
+    .WithDescription("Cancel an order and notify the customer")
+    .AddEdge(orderLookup, orderCancel)
+    .AddEdge(orderCancel, sendEmail)
+    .Build();
+
+// Configure host with durable workflow support
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableWorkflows(
+            options => options.Workflows.AddWorkflow(cancelOrder),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+Console.WriteLine("Workflow Events Demo - Enter order ID (or 'exit'):");
+
+while (true)
+{
+    Console.Write("> ");
+    string? input = Console.ReadLine();
+    if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
+    {
+        break;
+    }
+
+    try
+    {
+        await RunWorkflowWithStreamingAsync(input, cancelOrder, workflowClient);
+    }
+    catch (Exception ex)
+    {
+        Console.WriteLine($"Error: {ex.Message}");
+    }
+
+    Console.WriteLine();
+}
+
+await host.StopAsync();
+
+// Runs a workflow and streams events as they occur
+async Task RunWorkflowWithStreamingAsync(string orderId, Workflow workflow, IWorkflowClient client)
+{
+    // StreamAsync starts the workflow and returns a handle for observing events
+    // Cast to DurableStreamingRun for durable-specific features like InstanceId
+    await using DurableStreamingRun run = (DurableStreamingRun)await client.StreamAsync(workflow, orderId);
+    Console.WriteLine($"Started: {run.InstanceId}");
+
+    // WatchStreamAsync yields events as they're emitted by executors
+    await foreach (WorkflowEvent evt in run.WatchStreamAsync())
+    {
+        // Always print the event type name
+        Console.WriteLine($"  Event: {evt.GetType().Name}");
+
+        switch (evt)
+        {
+            // Custom domain events (emitted via AddEventAsync)
+            case OrderLookupStartedEvent e:
+                WriteColored($"    [Lookup] Looking up order {e.OrderId}", ConsoleColor.Cyan);
+                break;
+            case OrderFoundEvent e:
+                WriteColored($"    [Lookup] Found: {e.Order.Customer.Name}", ConsoleColor.Cyan);
+                break;
+            case CancellationProgressEvent e:
+                WriteColored($"    [Cancel] {e.PercentComplete}% - {e.Status}", ConsoleColor.Yellow);
+                break;
+            case OrderCancelledEvent e:
+                WriteColored("    [Cancel] Done", ConsoleColor.Yellow);
+                break;
+            case EmailSentEvent e:
+                WriteColored($"    [Email] Sent to {e.Email}", ConsoleColor.Magenta);
+                break;
+
+            // Yielded outputs (emitted via YieldOutputAsync)
+            case DurableYieldedOutputEvent e:
+                WriteColored($"    [Output] {e.ExecutorId}", ConsoleColor.DarkGray);
+                break;
+
+            // Workflow completion
+            case DurableWorkflowCompletedEvent e:
+                WriteColored($"  Completed: {e.Result}", ConsoleColor.Green);
+                break;
+            case DurableWorkflowFailedEvent e:
+                WriteColored($"  Failed: {e.ErrorMessage}", ConsoleColor.Red);
+                break;
+        }
+    }
+}
+
+void WriteColored(string message, ConsoleColor color)
+{
+    Console.ForegroundColor = color;
+    Console.WriteLine(message);
+    Console.ResetColor();
+}

dotnet/samples/DurableAgents/ConsoleApps/11_WorkflowEvents/README.md

@@ -0,0 +1,156 @@
+# Single Workflow Console Sample
+
+This sample demonstrates how to run a 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 can be resumed without re-executing completed activities.
+
+## Overview
+
+The sample implements an order cancellation workflow with three executors, each with artificial delays to simulate real-world operations:
+
+1. **OrderLookup** (2 seconds) - Looks up an order by its ID
+2. **OrderCancel** (5 seconds) - Marks the order as cancelled
+3. **SendEmail** (1 second) - 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 are replayed**: On restart, the orchestration replays from the beginning
+- **Completed activities are skipped**: The framework uses cached results for completed activities
+- **Failed activities are retried**: If an activity was interrupted, it runs again
+- **Automatic resume**: When the worker starts, it automatically picks up any pending work!
+
+### Try It Yourself
+
+1. Start the application and enter an order ID (e.g., `12345`)
+2. Stop the app (Ctrl+C or stop debugging) during the `OrderCancel` activity (5 seconds)
+3. Restart the application
+4. **Watch for automatic resume!** The worker automatically picks up the interrupted workflow
+5. Observe that `OrderLookup` is NOT re-executed (its result was cached)
+6. `OrderCancel` restarts from the beginning (it didn't complete)
+7. `SendEmail` runs after `OrderCancel` completes
+
+The durability is completely automatic - no manual intervention needed!
+
+## Workflow Flow
+
+```
+User Input (Order ID)
+       ?
+       ?
+???????????????????
+?  OrderLookup    ?  ? 2 second delay (database lookup)
+?  (2 seconds)    ?
+???????????????????
+         ?
+         ?
+???????????????????
+?  OrderCancel    ?  ? 5 second delay - TRY INTERRUPTING HERE!
+?  (5 seconds)    ?
+???????????????????
+         ?
+         ?
+???????????????????
+?   SendEmail     ?  ? 1 second delay (email sending)
+?  (1 second)     ?
+???????????????????
+         ?
+         ?
+      Result
+```
+
+## Key Concepts Demonstrated
+
+- **ConfigureDurableWorkflows** - Simplified API for registering workflows
+- **DurableExecution.RunAsync** - Start a new workflow (similar to InProcessExecution)
+- **DurableRun** - Handle to monitor and interact with a running workflow
+- **Automatic Resume** - Interrupted workflows continue automatically on restart
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup, you can run the sample:
+
+```bash
+cd dotnet/samples/DurableAgents/ConsoleApps/08_SingleWorkflow
+dotnet run --framework net10.0
+```
+
+### Sample Session
+
+```text
+??????????????????????????????????????????????????????????????????????
+?           Durable Workflow Console Sample                          ?
+??????????????????????????????????????????????????????????????????????
+?  This sample demonstrates durability in workflows.                 ?
+?  Workflow: OrderLookup (2s) -> OrderCancel (5s) -> SendEmail (1s)  ?
+??????????????????????????????????????????????????????????????????????
+
+?? TIP: Stop the app during OrderCancel (5 seconds) to test durability!
+   Restart the app - it will automatically resume from where it left off.
+
+? Checking for pending workflows...
+
+Enter an order ID to start a new workflow (or 'exit' to quit):
+
+Order ID: 12345
+
+Starting workflow for order '12345'...
+Instance ID: abc123-def456-...
+
+???????????????????????????????????????????????????????????????????
+? [Activity] OrderLookup: Starting lookup for order '12345'
+? [Activity] OrderLookup: Found order '12345' for customer 'Jerry'
+???????????????????????????????????????????????????????????????????
+
+???????????????????????????????????????????????????????????????????
+? [Activity] OrderCancel: Starting cancellation for order '12345'
+? [Activity] OrderCancel: ??  This takes 5 seconds - try Ctrl+C!
+? [Activity] OrderCancel: Processing... 1/5 seconds
+? [Activity] OrderCancel: Processing... 2/5 seconds
+^C   <-- User stops the app here
+
+[After restart...]
+
+? Checking for pending workflows...
+
+???????????????????????????????????????????????????????????????????
+? [Activity] OrderCancel: Starting cancellation for order '12345'  <-- Auto-resumed!
+? [Activity] OrderCancel: ??  This takes 5 seconds - try Ctrl+C!
+? [Activity] OrderCancel: Processing... 1/5 seconds
+...
+? [Activity] OrderCancel: ? Order '12345' has been cancelled
+???????????????????????????????????????????????????????????????????
+
+???????????????????????????????????????????????????????????????????
+? [Activity] SendEmail: Sending email to 'jerry@example.com'...
+? [Activity] SendEmail: ? Email sent successfully!
+???????????????????????????????????????????????????????????????????
+
+Enter an order ID to start a new workflow (or 'exit' to quit):
+
+Order ID: _
+```
+
+Notice that when resumed:
+- `OrderLookup` was **NOT re-executed** (result was cached by Durable Task)
+- `OrderCancel` **restarted automatically** (it was interrupted before completing)
+- `SendEmail` ran normally after `OrderCancel` completed
+
+## Viewing Workflow State
+
+You can view the state of the workflow in the Durable Task Scheduler dashboard:
+
+1. Open your browser and navigate to `http://localhost:8082`
+2. In the dashboard, you can view the state of the orchestration, including activity history and current state
+
+## Related Samples
+
+- [01_SingleAgent](../01_SingleAgent) - Single agent console sample
+- [02_AgentOrchestration_Chaining](../02_AgentOrchestration_Chaining) - Agent chaining with durable orchestration
+- [05_AgentOrchestration_HITL](../05_AgentOrchestration_HITL) - Human-in-the-loop orchestration
+- [09_Workflow](../../AzureFunctions/09_Workflow) - Azure Functions version of workflow hosting

dotnet/samples/DurableAgents/ConsoleApps/12_WorkflowLoop/12_WorkflowLoop.csproj

@@ -0,0 +1,31 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <AssemblyName>SingleWorkflow</AssemblyName>
+    <RootNamespace>SingleAgent</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.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/DurableAgents/ConsoleApps/12_WorkflowLoop/FeedbackExecutor.cs

@@ -0,0 +1,69 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Extensions.AI;
+
+namespace SingleAgent;
+
+internal sealed class FeedbackExecutor : Executor<SloganResult>
+{
+    private readonly AIAgent _agent;
+    private AgentThread? _thread;
+
+    public int MinimumRating { get; init; } = 9;
+
+    public int MaxAttempts { get; init; } = 3;
+
+    private int _attempts;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="FeedbackExecutor"/> class.
+    /// </summary>
+    /// <param name="id">A unique identifier for the executor.</param>
+    /// <param name="chatClient">The chat client to use for the AI agent.</param>
+    public FeedbackExecutor(string id, IChatClient chatClient) : base(id)
+    {
+        ChatClientAgentOptions agentOptions = new()
+        {
+            ChatOptions = new()
+            {
+                Instructions = "You are a professional editor. You will be given a slogan and the task it is meant to accomplish.",
+                ResponseFormat = ChatResponseFormat.ForJsonSchema<FeedbackResult>()
+            }
+        };
+
+        this._agent = new ChatClientAgent(chatClient, agentOptions);
+    }
+
+    public override async ValueTask HandleAsync(SloganResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        this._thread ??= await this._agent.GetNewThreadAsync(cancellationToken);
+
+        var sloganMessage = $"""
+            Here is a slogan for the task '{message.Task}':
+            Slogan: {message.Slogan}
+            Please provide feedback on this slogan, including comments, a rating from 1 to 10, and suggested actions for improvement.
+            """;
+
+        var response = await this._agent.RunAsync(sloganMessage, this._thread, cancellationToken: cancellationToken);
+        var feedback = JsonSerializer.Deserialize<FeedbackResult>(response.Text) ?? throw new InvalidOperationException("Failed to deserialize feedback.");
+
+        if (feedback.Rating >= this.MinimumRating)
+        {
+            await context.YieldOutputAsync($"The following slogan was accepted:\n\n{message.Slogan}", cancellationToken);
+            return;
+        }
+
+        if (this._attempts >= this.MaxAttempts)
+        {
+            await context.YieldOutputAsync($"The slogan was rejected after {this.MaxAttempts} attempts. Final slogan:\n\n{message.Slogan}", cancellationToken);
+            return;
+        }
+
+        Console.WriteLine("Sending back for refining");
+        await context.SendMessageAsync(feedback, cancellationToken: cancellationToken);
+        this._attempts++;
+    }
+}

dotnet/samples/DurableAgents/ConsoleApps/12_WorkflowLoop/Program.cs

@@ -0,0 +1,113 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to run a CYCLIC WORKFLOW as a durable orchestration.
+// The workflow contains a loop: SloganWriter ⟷ FeedbackProvider
+//
+// WORKFLOW LOOP PATTERN:
+// 1. SloganWriter generates a slogan based on user input
+// 2. FeedbackProvider evaluates the slogan and provides feedback
+// 3. If the rating is below threshold, FeedbackProvider sends feedback back to SloganWriter
+// 4. SloganWriter improves the slogan based on feedback
+// 5. Loop continues until FeedbackProvider accepts the slogan (rating >= threshold)
+//
+// This demonstrates:
+// - Cyclic workflow support (back-edges in the graph)
+// - Multi-type executor handlers (SloganWriter handles both string and FeedbackResult)
+// - Message routing via SendMessageAsync for void-returning executors
+// - YieldOutputAsync for final output when the loop completes
+
+using Azure.Identity;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.DurableTask.Client.AzureManaged;
+using Microsoft.DurableTask.Worker.AzureManaged;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using SingleAgent;
+using Azure.AI.OpenAI;
+
+// Get DTS connection string from environment variable
+string dtsConnectionString = Environment.GetEnvironmentVariable("DURABLE_TASK_SCHEDULER_CONNECTION_STRING")
+    ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None";
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") ?? "gpt-4o-mini";
+var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
+
+// Define executors for the workflow
+var sloganWriter = new SloganWriterExecutor("SloganWriter", chatClient);
+var feedbackProvider = new FeedbackExecutor("FeedbackProvider", chatClient);
+
+// Build the workflow by adding executors and connecting them
+var workflow = new WorkflowBuilder(sloganWriter)
+    .WithName("SloganCreationWorkflow")
+    .AddEdge(sloganWriter, feedbackProvider)
+    .AddEdge(feedbackProvider, sloganWriter)
+    .WithOutputFrom(feedbackProvider)
+    .Build();
+
+IHost host = Host.CreateDefaultBuilder(args)
+    .ConfigureLogging(logging => logging.SetMinimumLevel(LogLevel.Warning))
+    .ConfigureServices(services =>
+    {
+        services.ConfigureDurableWorkflows(
+            options => options.Workflows.AddWorkflow(workflow),
+            workerBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString),
+            clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString));
+    })
+    .Build();
+
+await host.StartAsync();
+
+// Get the IWorkflowClient from DI - no need to manually resolve DurableTaskClient
+IWorkflowClient workflowClient = host.Services.GetRequiredService<IWorkflowClient>();
+
+Console.WriteLine("Workflow Events Demo - Enter input for slogan generation (or 'exit'):");
+
+while (true)
+{
+    Console.Write("> ");
+    string? input = Console.ReadLine();
+    if (string.IsNullOrWhiteSpace(input) || input.Equals("exit", StringComparison.OrdinalIgnoreCase))
+    {
+        break;
+    }
+
+    try
+    {
+        await RunWorkflowWithStreamingAsync(input, workflow, workflowClient);
+    }
+    catch (Exception ex)
+    {
+        Console.WriteLine($"Error: {ex.Message}");
+    }
+
+    Console.WriteLine();
+}
+
+await host.StopAsync();
+
+// Runs a workflow and streams events as they occur
+async Task RunWorkflowWithStreamingAsync(string orderId, Workflow workflow, IWorkflowClient client)
+{
+    // StreamAsync starts the workflow and returns a handle for observing events
+    // Cast to DurableStreamingRun for durable-specific features like InstanceId
+    await using DurableStreamingRun run = (DurableStreamingRun)await client.StreamAsync(workflow, orderId);
+    Console.WriteLine($"Started: {run.InstanceId}");
+
+    // WatchStreamAsync yields events as they're emitted by executors
+    await foreach (WorkflowEvent evt in run.WatchStreamAsync())
+    {
+        // Always print the event type name
+        WriteColored($"  Event: {evt.GetType().Name}", ConsoleColor.Gray);
+    }
+}
+
+void WriteColored(string message, ConsoleColor color)
+{
+    Console.ForegroundColor = color;
+    Console.WriteLine(message);
+    Console.ResetColor();
+}

dotnet/samples/DurableAgents/ConsoleApps/12_WorkflowLoop/README.md

@@ -0,0 +1,23 @@
+# Workflow Loop Sample
+
+This sample demonstrates how to run a cyclic workflow (containing loops) as a durable orchestration.
+
+## Overview
+
+The workflow iteratively improves a slogan based on AI feedback until it meets quality criteria.
+
+### Executors
+
+- **SloganWriter** - Generates slogans using AI (handles string and FeedbackResult)
+- **FeedbackProvider** - Evaluates slogans (calls YieldOutput to accept, SendMessage to loop)
+
+## Key Concepts
+
+- Cyclic Workflow Support (back-edges)
+- Multi-Type Executor Handlers
+- Message Routing via SendMessageAsync
+- Workflow Termination via YieldOutputAsync
+
+## Running
+
+Set AZURE_OPENAI_ENDPOINT and run: dotnet run

dotnet/samples/DurableAgents/ConsoleApps/12_WorkflowLoop/SloganResult.cs

@@ -0,0 +1,26 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json.Serialization;
+
+namespace SingleAgent;
+
+public sealed class SloganResult
+{
+    [JsonPropertyName("task")]
+    public required string Task { get; set; }
+
+    [JsonPropertyName("slogan")]
+    public required string Slogan { get; set; }
+}
+
+public sealed class FeedbackResult
+{
+    [JsonPropertyName("comments")]
+    public string Comments { get; set; } = string.Empty;
+
+    [JsonPropertyName("rating")]
+    public int Rating { get; set; }
+
+    [JsonPropertyName("actions")]
+    public string Actions { get; set; } = string.Empty;
+}

dotnet/samples/DurableAgents/ConsoleApps/12_WorkflowLoop/SloganWriterExecutor.cs

@@ -0,0 +1,61 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text.Json;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Extensions.AI;
+
+namespace SingleAgent;
+
+internal sealed class SloganWriterExecutor : Executor
+{
+    private readonly AIAgent _agent;
+    private AgentThread? _thread;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="SloganWriterExecutor"/> class.
+    /// </summary>
+    /// <param name="id">A unique identifier for the executor.</param>
+    /// <param name="chatClient">The chat client to use for the AI agent.</param>
+    public SloganWriterExecutor(string id, IChatClient chatClient) : base(id)
+    {
+        ChatClientAgentOptions agentOptions = new()
+        {
+            ChatOptions = new()
+            {
+                Instructions = "You are a professional slogan writer. You will be given a task to create a slogan.",
+                ResponseFormat = ChatResponseFormat.ForJsonSchema<SloganResult>()
+            }
+        };
+
+        this._agent = new ChatClientAgent(chatClient, agentOptions);
+    }
+
+    protected override RouteBuilder ConfigureRoutes(RouteBuilder routeBuilder) =>
+        routeBuilder.AddHandler<string, SloganResult>(this.HandleAsync)
+                    .AddHandler<FeedbackResult, SloganResult>(this.HandleAsync);
+
+    public async ValueTask<SloganResult> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        this._thread ??= await this._agent.GetNewThreadAsync(cancellationToken);
+
+        var result = await this._agent.RunAsync(message, this._thread, cancellationToken: cancellationToken);
+
+        return JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");
+    }
+
+    public async ValueTask<SloganResult> HandleAsync(FeedbackResult message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        var feedbackMessage = $"""
+            Here is the feedback on your previous slogan:
+            Comments: {message.Comments}
+            Rating: {message.Rating}
+            Suggested Actions: {message.Actions}
+
+            Please use this feedback to improve your slogan.
+            """;
+
+        var result = await this._agent.RunAsync(feedbackMessage, this._thread, cancellationToken: cancellationToken);
+        return JsonSerializer.Deserialize<SloganResult>(result.Text) ?? throw new InvalidOperationException("Failed to deserialize slogan result.");
+    }
+}