🌍 带有 Microsoft Agent Framework (.NET) 的 AI 旅行代理

📋 场景概述

此示例演示如何使用 Microsoft Agent Framework for .NET 构建智能旅行规划代理。该代理可以自动生成世界各地随机目的地的个性化一日游行程。

关键功能：

  • 🎲 随机目的地选择：使用自定义工具选择度假地点
  • 🗺️ 智能旅行规划：创建详细的每日行程
  • 🔄 实时流式传输：支持即时响应和流式响应
  • 🛠️ 自定义工具集成：演示如何扩展代理功能

🔧 技术架构

核心技术

  • Microsoft Agent Framework：用于 AI 代理开发的最新 .NET 实现
  • GitHub 模型集成：使用 GitHub 的 AI 模型推理服务
  • OpenAI API 兼容性：利用具有自定义端点的 OpenAI 客户端库
  • 安全配置：基于环境的API密钥管理

关键组件

  1. AIAgent：处理会话流的主要代理协调器
  2. 自定义工具：代理可用的 GetRandomDestination() 函数
  3. 聊天客户端：GitHub 模型支持的对话界面
  4. Streaming Support：实时响应生成功能

集成模式

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graph LR
    A[User Request] --> B[AI Agent]
    B --> C[GitHub Models API]
    B --> D[GetRandomDestination Tool]
    C --> E[Travel Itinerary]
    D --> E

🚀 开始使用

先决条件

所需的环境变量

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# zsh/bash
export GH_TOKEN=<your_github_token>
export GH_ENDPOINT=https://models.github.ai/inference
export GH_MODEL_ID=openai/gpt-5-mini
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# PowerShell
$env:GH_TOKEN = "<your_github_token>"
$env:GH_ENDPOINT = "https://models.github.ai/inference"
$env:GH_MODEL_ID = "openai/gpt-5-mini"

示例代码

要运行代码示例，

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# zsh/bash
chmod +x ./01-dotnet-agent-framework.cs
./01-dotnet-agent-framework.cs

或者使用 dotnet CLI：

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dotnet run ./01-dotnet-agent-framework.cs

有关完整代码，请参阅 01-dotnet-agent-framework.cs。

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#!/usr/bin/dotnet run

#:package Microsoft.Extensions.AI@9.*
#:package Microsoft.Agents.AI.OpenAI@1.*-*

using System.ClientModel;
using System.ComponentModel;

using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;

using OpenAI;

// Tool Function: Random Destination Generator
// This static method will be available to the agent as a callable tool
// The [Description] attribute helps the AI understand when to use this function
// This demonstrates how to create custom tools for AI agents
[Description("Provides a random vacation destination.")]
static string GetRandomDestination()
{
    // List of popular vacation destinations around the world
    // The agent will randomly select from these options
    var destinations = new List<string>
    {
        "Paris, France",
        "Tokyo, Japan",
        "New York City, USA",
        "Sydney, Australia",
        "Rome, Italy",
        "Barcelona, Spain",
        "Cape Town, South Africa",
        "Rio de Janeiro, Brazil",
        "Bangkok, Thailand",
        "Vancouver, Canada"
    };

    // Generate random index and return selected destination
    // Uses System.Random for simple random selection
    var random = new Random();
    int index = random.Next(destinations.Count);
    return destinations[index];
}

// Extract configuration from environment variables
// Retrieve the GitHub Models API endpoint, defaults to https://models.github.ai/inference if not specified
// Retrieve the model ID, defaults to openai/gpt-5-mini if not specified
// Retrieve the GitHub token for authentication, throws exception if not specified
var github_endpoint = Environment.GetEnvironmentVariable("GH_ENDPOINT") ?? "https://models.github.ai/inference";
var github_model_id = Environment.GetEnvironmentVariable("GH_MODEL_ID") ?? "openai/gpt-5-mini";
var github_token = Environment.GetEnvironmentVariable("GH_TOKEN") ?? throw new InvalidOperationException("GH_TOKEN is not set.");

// Configure OpenAI Client Options
// Create configuration options to point to GitHub Models endpoint
// This redirects OpenAI client calls to GitHub's model inference service
var openAIOptions = new OpenAIClientOptions()
{
    Endpoint = new Uri(github_endpoint)
};

// Initialize OpenAI Client with GitHub Models Configuration
// Create OpenAI client using GitHub token for authentication
// Configure it to use GitHub Models endpoint instead of OpenAI directly
var openAIClient = new OpenAIClient(new ApiKeyCredential(github_token), openAIOptions);

// Create AI Agent with Travel Planning Capabilities
// Initialize OpenAI client, get chat client for specified model, and create AI agent
// Configure agent with travel planning instructions and random destination tool
// The agent can now plan trips using the GetRandomDestination function
AIAgent agent = openAIClient
    .GetChatClient(github_model_id)
    .CreateAIAgent(
        instructions: "You are a helpful AI Agent that can help plan vacations for customers at random destinations",
        tools: [AIFunctionFactory.Create(GetRandomDestination)]
    );

// Execute Agent: Plan a Day Trip
// Run the agent with streaming enabled for real-time response display
// Shows the agent's thinking and response as it generates the content
// Provides better user experience with immediate feedback
await foreach (var update in agent.RunStreamingAsync("Plan me a day trip"))
{
    await Task.Delay(10);
    Console.Write(update);
}

🎓 要点

  1. 代理架构：Microsoft Agent Framework 提供了一种干净、类型安全的方法来在 .NET 中构建 AI 代理
  2. 工具集成：用[Description]属性修饰的函数成为代理可用的工具
  3. 配置管理：环境变量和安全凭证处理遵循 .NET 最佳实践
  4. OpenAI 兼容性：GitHub 模型集成通过 OpenAI 兼容的 API 无缝运行

🔗 其他资源