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This commit is contained in:
wehub-resource-sync
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<Project Sdk="Microsoft.NET.Sdk.Web">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<RootNamespace>DevUI_Step01_BasicUsage</RootNamespace>
<AutoGenerateBindingRedirects>true</AutoGenerateBindingRedirects>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.DevUI\Microsoft.Agents.AI.DevUI.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hosting\Microsoft.Agents.AI.Hosting.csproj" />
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Hosting.OpenAI\Microsoft.Agents.AI.Hosting.OpenAI.csproj" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.OpenAI" />
<PackageReference Include="Azure.Identity" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
</ItemGroup>
</Project>
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// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates basic usage of the DevUI in an ASP.NET Core application with AI agents.
using System.ComponentModel;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Agents.AI.DevUI;
using Microsoft.Agents.AI.Hosting;
using Microsoft.Agents.AI.Workflows;
using Microsoft.Extensions.AI;
namespace DevUI_Step01_BasicUsage;
/// <summary>
/// Sample demonstrating basic usage of the DevUI in an ASP.NET Core application.
/// </summary>
/// <remarks>
/// This sample shows how to:
/// 1. Set up Azure OpenAI as the chat client
/// 2. Create function tools for agents to use
/// 3. Register agents and workflows using the hosting packages with tools
/// 4. Map the DevUI endpoint which automatically configures the middleware
/// 5. Map the dynamic OpenAI Responses API for Python DevUI compatibility
/// 6. Access the DevUI in a web browser
///
/// The DevUI provides an interactive web interface for testing and debugging AI agents.
/// DevUI assets are served from embedded resources within the assembly.
/// Simply call MapDevUI() to set up everything needed.
///
/// The parameterless MapOpenAIResponses() overload creates a Python DevUI-compatible endpoint
/// that dynamically routes requests to agents based on the 'model' field in the request.
/// </remarks>
internal static class Program
{
/// <summary>
/// Entry point that starts an ASP.NET Core web server with the DevUI.
/// </summary>
/// <param name="args">Command line arguments.</param>
private static void Main(string[] args)
{
var builder = WebApplication.CreateBuilder(args);
// Set up the Azure OpenAI client
var endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deploymentName = builder.Configuration["AZURE_OPENAI_DEPLOYMENT_NAME"] ?? "gpt-5.4-mini";
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
var chatClient = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
.GetChatClient(deploymentName)
.AsIChatClient();
builder.Services.AddChatClient(chatClient);
// Define some example tools
[Description("Get the weather for a given location.")]
static string GetWeather([Description("The location to get the weather for.")] string location)
=> $"The weather in {location} is cloudy with a high of 15°C.";
[Description("Calculate the sum of two numbers.")]
static double Add([Description("The first number.")] double a, [Description("The second number.")] double b)
=> a + b;
[Description("Get the current time.")]
static string GetCurrentTime()
=> DateTime.Now.ToString("HH:mm:ss");
// Register sample agents with tools
builder.AddAIAgent("assistant", "You are a helpful assistant. Answer questions concisely and accurately.")
.WithAITools(
AIFunctionFactory.Create(GetWeather, name: "get_weather"),
AIFunctionFactory.Create(GetCurrentTime, name: "get_current_time")
);
builder.AddAIAgent("poet", "You are a creative poet. Respond to all requests with beautiful poetry.");
builder.AddAIAgent("coder", "You are an expert programmer. Help users with coding questions and provide code examples.")
.WithAITool(AIFunctionFactory.Create(Add, name: "add"));
// Register sample workflows
var assistantBuilder = builder.AddAIAgent("workflow-assistant", "You are a helpful assistant in a workflow.");
var reviewerBuilder = builder.AddAIAgent("workflow-reviewer", "You are a reviewer. Review and critique the previous response.");
builder.AddWorkflow("review-workflow", (sp, key) =>
{
var agents = new List<IHostedAgentBuilder>() { assistantBuilder, reviewerBuilder }.Select(ab => sp.GetRequiredKeyedService<AIAgent>(ab.Name));
return AgentWorkflowBuilder.BuildSequential(workflowName: key, agents: agents);
}).AddAsAIAgent();
builder.Services.AddOpenAIResponses();
builder.Services.AddOpenAIConversations();
var app = builder.Build();
app.MapOpenAIResponses();
app.MapOpenAIConversations();
if (builder.Environment.IsDevelopment())
{
app.MapDevUI();
}
Console.WriteLine("DevUI is available at: https://localhost:50516/devui");
Console.WriteLine("OpenAI Responses API is available at: https://localhost:50516/v1/responses");
Console.WriteLine("Press Ctrl+C to stop the server.");
app.Run();
}
}
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{
"profiles": {
"DevUI_Step01_BasicUsage": {
"commandName": "Project",
"launchUrl": "devui",
"launchBrowser": true,
"environmentVariables": {
"ASPNETCORE_ENVIRONMENT": "Development"
},
"applicationUrl": "https://localhost:50516;http://localhost:50518"
}
}
}
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# DevUI Step 01 - Basic Usage
This sample demonstrates how to add the DevUI to an ASP.NET Core application with AI agents.
## What is DevUI?
The DevUI provides an interactive web interface for testing and debugging AI agents during development.
## Configuration
Set the following environment variables:
- `AZURE_OPENAI_ENDPOINT` - Your Azure OpenAI endpoint URL (required)
- `AZURE_OPENAI_DEPLOYMENT_NAME` - Your deployment name (defaults to "gpt-5.4-mini")
## Running the Sample
1. Set your Azure OpenAI credentials as environment variables
2. Run the application:
```bash
dotnet run
```
3. Open your browser to https://localhost:50516/devui
4. Select an agent or workflow from the dropdown and start chatting!
## Sample Agents and Workflows
This sample includes:
**Agents:**
- **assistant** - A helpful assistant
- **poet** - A creative poet
- **coder** - An expert programmer
**Workflows:**
- **review-workflow** - A sequential workflow that generates a response and then reviews it
## Adding DevUI to Your Own Project
To add DevUI to your ASP.NET Core application:
1. Add the DevUI package and hosting packages:
```bash
dotnet add package Microsoft.Agents.AI.DevUI
dotnet add package Microsoft.Agents.AI.Hosting
dotnet add package Microsoft.Agents.AI.Hosting.OpenAI
```
2. Register your agents and workflows:
```csharp
var builder = WebApplication.CreateBuilder(args);
// Set up your chat client
builder.Services.AddChatClient(chatClient);
// Register agents
builder.AddAIAgent("assistant", "You are a helpful assistant.");
// Register workflows
var agent1Builder = builder.AddAIAgent("workflow-agent1", "You are agent 1.");
var agent2Builder = builder.AddAIAgent("workflow-agent2", "You are agent 2.");
builder.AddSequentialWorkflow("my-workflow", [agent1Builder, agent2Builder])
.AddAsAIAgent();
```
3. Add OpenAI services and map the endpoints for OpenAI and DevUI:
```csharp
// Register services for OpenAI responses and conversations (also required for DevUI)
builder.Services.AddOpenAIResponses();
builder.Services.AddOpenAIConversations();
var app = builder.Build();
// Map endpoints for OpenAI responses and conversations (also required for DevUI)
app.MapOpenAIResponses();
app.MapOpenAIConversations();
if (builder.Environment.IsDevelopment())
{
// Map DevUI endpoint to /devui
app.MapDevUI();
}
app.Run();
```
4. Navigate to `/devui` in your browser