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

This commit is contained in:
Shyju Krishnankutty
2026-03-18 18:10:23 -07:00
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parent d472ed2ae7
commit 2455e95519
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@@ -77,6 +77,7 @@
<Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/02_ConcurrentWorkflow/02_ConcurrentWorkflow.csproj" />
<Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/03_WorkflowHITL/03_WorkflowHITL.csproj" />
<Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/04_WorkflowMcpTool/04_WorkflowMcpTool.csproj" />
<Project Path="samples/04-hosting/DurableWorkflows/AzureFunctions/05_WorkflowAndAgents/05_WorkflowAndAgents.csproj" />
</Folder>
<Folder Name="/Samples/GettingStarted/">
<File Path="samples/GettingStarted/README.md" />
@@ -0,0 +1,42 @@
<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>
@@ -0,0 +1,31 @@
// 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);
@@ -0,0 +1,64 @@
// 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();
@@ -0,0 +1,76 @@
# 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.
@@ -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"
}
}
}
}
@@ -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>"
}
}
@@ -67,6 +67,13 @@ public static class FunctionsApplicationBuilderExtensions
builder.Services.ConfigureDurableOptions(configure);
if (sharedOptions.Agents.GetAgentFactories().Count > 0)
{
builder.Services.TryAddSingleton<IFunctionsAgentOptionsProvider>(_ =>
new DefaultFunctionsAgentOptionsProvider(DurableAgentsOptionsExtensions.GetAgentOptionsSnapshot()));
builder.Services.TryAddEnumerable(ServiceDescriptor.Singleton<IFunctionMetadataTransformer, DurableAgentFunctionMetadataTransformer>());
}
if (sharedOptions.Workflows.Workflows.Count > 0)
{
builder.Services.TryAddEnumerable(ServiceDescriptor.Singleton<IFunctionMetadataTransformer, DurableWorkflowsFunctionMetadataTransformer>());
@@ -102,6 +109,7 @@ public static class FunctionsApplicationBuilderExtensions
builder.UseWhen<BuiltInFunctionExecutionMiddleware>(static context =>
string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentHttpFunctionEntryPoint, StringComparison.Ordinal) ||
string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentMcpToolFunctionEntryPoint, StringComparison.Ordinal) ||
string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentEntityFunctionEntryPoint, StringComparison.Ordinal) ||
string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunWorkflowOrchestrationHttpFunctionEntryPoint, StringComparison.Ordinal) ||
string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunWorkflowOrchestrationFunctionEntryPoint, StringComparison.Ordinal) ||
@@ -293,6 +293,58 @@ public sealed class WorkflowSamplesValidation(ITestOutputHelper outputHelper) :
});
}
[Fact]
public async Task WorkflowAndAgentsSampleValidationAsync()
{
string samplePath = Path.Combine(s_samplesPath, "05_WorkflowAndAgents");
await this.RunSampleTestAsync(samplePath, requiresOpenAI: true, async (logs) =>
{
// Connect to the MCP endpoint exposed by the Azure Functions host
IClientTransport clientTransport = new HttpClientTransport(new()
{
Endpoint = new Uri($"http://localhost:{AzureFunctionsPort}/runtime/webhooks/mcp")
});
await using McpClient mcpClient = await McpClient.CreateAsync(clientTransport);
// Verify both the agent and workflow tools are listed
IList<McpClientTool> tools = await mcpClient.ListToolsAsync();
this._outputHelper.WriteLine($"MCP tools found: {string.Join(", ", tools.Select(t => t.Name))}");
Assert.Single(tools, t => t.Name == "Assistant");
Assert.Single(tools, t => t.Name == "Translate");
// Invoke the Translate workflow via MCP tool
this._outputHelper.WriteLine("Invoking MCP tool 'Translate'...");
CallToolResult translateResult = await mcpClient.CallToolAsync(
"Translate",
arguments: new Dictionary<string, object?> { { "input", "hello world" } });
Assert.NotEmpty(translateResult.Content);
string translateResponse = Assert.IsType<TextContentBlock>(translateResult.Content[0]).Text;
this._outputHelper.WriteLine($"Translate MCP tool response: {translateResponse}");
Assert.Contains("HELLO WORLD", translateResponse);
// Invoke the Assistant agent via MCP tool
this._outputHelper.WriteLine("Invoking MCP tool 'Assistant'...");
CallToolResult assistantResult = await mcpClient.CallToolAsync(
"Assistant",
arguments: new Dictionary<string, object?> { { "query", "What is 2 + 2?" } });
Assert.NotEmpty(assistantResult.Content);
string assistantResponse = Assert.IsType<TextContentBlock>(assistantResult.Content[0]).Text;
this._outputHelper.WriteLine($"Assistant MCP tool response: {assistantResponse}");
Assert.NotEmpty(assistantResponse);
// Verify workflow executor activities ran in the logs
lock (logs)
{
Assert.True(logs.Any(log => log.Message.Contains("[Activity] TranslateText:")), "TranslateText activity not found in logs.");
Assert.True(logs.Any(log => log.Message.Contains("[Activity] FormatOutput:")), "FormatOutput activity not found in logs.");
}
});
}
[Fact]
public async Task ConcurrentWorkflowSampleValidationAsync()
{