Adding a sample project demonstrating how to setup Agents and Workflows together.

2026-06-16 21:04:09 +08:00 · 2026-03-18 18:10:23 -07:00
parent d472ed2ae7
commit 2455e95519
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+<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>WorkflowAndAgents</AssemblyName>
+    <RootNamespace>WorkflowAndAgents</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.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" />
+  </ItemGroup>
+</Project>
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+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace WorkflowAndAgents;
+
+internal sealed class TranslateText() : Executor<string, TranslationResult>("TranslateText")
+{
+    public override ValueTask<TranslationResult> HandleAsync(
+        string message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine($"[Activity] TranslateText: '{message}'");
+        return ValueTask.FromResult(new TranslationResult(message, message.ToUpperInvariant()));
+    }
+}
+
+internal sealed class FormatOutput() : Executor<TranslationResult, string>("FormatOutput")
+{
+    public override ValueTask<string> HandleAsync(
+        TranslationResult message,
+        IWorkflowContext context,
+        CancellationToken cancellationToken = default)
+    {
+        Console.WriteLine("[Activity] FormatOutput: Formatting result");
+        return ValueTask.FromResult($"Original: {message.Original} => Translated: {message.Translated}");
+    }
+}
+
+internal sealed record TranslationResult(string Original, string Translated);
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+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates using ConfigureDurableOptions to register BOTH agents AND workflows
+// in a single Azure Functions app. It uses a workflow to translate text and a standalone AI agent
+// accessible via HTTP and MCP tool triggers.
+
+#pragma warning disable IDE0002 // Simplify Member Access
+
+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.Hosting;
+using OpenAI.Chat;
+using WorkflowAndAgents;
+
+// 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_NAME")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set.");
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential());
+
+ChatClient chatClient = client.GetChatClient(deploymentName);
+
+// Define a standalone AI agent
+AIAgent assistant = chatClient.AsAIAgent(
+    "You are a helpful assistant. Answer questions clearly and concisely.",
+    "Assistant",
+    description: "A general-purpose helpful assistant.");
+
+// Define workflow executors
+TranslateText translateText = new();
+FormatOutput formatOutput = new();
+
+// Build a workflow: TranslateText -> FormatOutput
+Workflow translateWorkflow = new WorkflowBuilder(translateText)
+    .WithName("Translate")
+    .WithDescription("Translate text to uppercase and format the result")
+    .AddEdge(translateText, formatOutput)
+    .Build();
+
+// Use ConfigureDurableOptions to register both agents and workflows together
+using IHost app = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options =>
+    {
+        // Register the standalone agent with HTTP and MCP tool triggers
+        options.Agents.AddAIAgent(assistant, enableHttpTrigger: true, enableMcpToolTrigger: true);
+
+        // Register the workflow with an HTTP endpoint and MCP tool trigger
+        options.Workflows.AddWorkflow(translateWorkflow, exposeStatusEndpoint: false, exposeMcpToolTrigger: true);
+    })
+    .Build();
+app.Run();
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+# Workflow and Agents Sample
+
+This sample demonstrates how to use `ConfigureDurableOptions` to register **both** AI agents **and** workflows in a single Azure Functions app. This is the recommended approach when your application needs both standalone agents and orchestrated workflows.
+
+## Key Concepts Demonstrated
+
+- **Unified Configuration**: Use `ConfigureDurableOptions` to register agents and workflows together
+- **Standalone Agent**: An AI agent accessible via HTTP and MCP tool triggers
+- **Workflow**: A simple text translation workflow also exposed as an MCP tool
+- **Mixed Triggers**: Both agents and workflows coexist in the same Functions host
+
+## Sample Architecture
+
+### Standalone Agent
+
+| Agent | Description |
+|-------|-------------|
+| **Assistant** | A general-purpose AI assistant accessible via HTTP (`/agents/Assistant/run`) and as an MCP tool |
+
+### Translate Workflow
+
+| Executor | Input | Output | Description |
+|----------|-------|--------|-------------|
+| **TranslateText** | `string` | `TranslationResult` | Converts input text to uppercase |
+| **FormatOutput** | `TranslationResult` | `string` | Formats the result into a readable string |
+
+## Environment Setup
+
+See the [README.md](../../README.md) file in the parent directory for complete setup instructions, including:
+
+- Prerequisites installation
+- Durable Task Scheduler setup
+- Storage emulator configuration
+
+This sample also requires Azure OpenAI credentials. Set the following in `local.settings.json`:
+
+- `AZURE_OPENAI_ENDPOINT`: Your Azure OpenAI endpoint URL
+- `AZURE_OPENAI_DEPLOYMENT_NAME`: Your chat model deployment name
+- `AZURE_OPENAI_API_KEY` (optional): If not set, Azure CLI credential is used
+
+## Running the Sample
+
+1. **Start the Function App**:
+
+   ```bash
+   cd dotnet/samples/04-hosting/DurableWorkflows/AzureFunctions/05_WorkflowAndAgents
+   func start
+   ```
+
+2. **Expected Functions**: When the app starts, you should see functions for both the agent and the workflow:
+
+   - `dafx-Assistant` (entity trigger for the agent)
+   - `http-Assistant` (HTTP trigger for the agent)
+   - `mcptool-Assistant` (MCP tool trigger for the agent)
+   - `wf-Translate` (orchestration trigger for the workflow)
+   - `mcptool-wf-Translate` (MCP tool trigger for the workflow)
+
+## Invoking the Agent via HTTP
+
+```bash
+curl -X POST http://localhost:7071/agents/Assistant/run \
+  -H "Content-Type: application/json" \
+  -d '{"query": "What is the capital of France?"}'
+```
+
+## Invoking via MCP Inspector
+
+1. Install and run the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector):
+
+   ```bash
+   npx @modelcontextprotocol/inspector
+   ```
+
+2. Connect to `http://localhost:7071/runtime/webhooks/mcp` using **Streamable HTTP** transport.
+
+3. Click **List Tools** to see both the `Assistant` agent tool and the `Translate` workflow tool.
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+{
+  "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"
+      }
+    }
+  }
+}
@@ -0,0 +1,10 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_DEPLOYMENT_NAME": "<AZURE_OPENAI_DEPLOYMENT_NAME>"
+  }
+}