07 · 07-dotnet-agent-framework

原课程脚本 · 未联网执行

保留原始框架与完整代码。依赖、变量、入口以脚本及其相邻 README 为准；本页为代码导读，未声称所有外部服务均已验证。

阅读提示：跟踪本单元格读取的变量、修改的状态以及返回值。按原顺序执行，确认依赖的前序变量已经存在。

csharp

#!/usr/bin/dotnet run
#:package Microsoft.Extensions.AI@10.*
#:package Microsoft.Agents.AI.OpenAI@1.*-*
#:package Azure.AI.OpenAI@2.1.0
#:package Azure.Identity@1.13.1
#:package DotNetEnv@3.1.1

#:property JsonSerializerIsReflectionEnabledByDefault=true

using System;
using System.Text.Json;
using System.Text.Json.Serialization;
using Microsoft.Extensions.AI;
using Microsoft.Agents.AI;
using Azure.AI.OpenAI;
using Azure.Identity;
using DotNetEnv;
using OpenAI.Chat;

// Load environment variables from .env file
Env.Load("../../.env");

// Azure OpenAI with the Responses API (stable v1 endpoint). Sign in with `az login`.
var azureEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
var deployment = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") ?? "gpt-5-mini";

var azureClient = new AzureOpenAIClient(new Uri(azureEndpoint), new AzureCliCredential());

// Define agent configuration
const string AGENT_NAME = "TravelPlanAgent";

const string AGENT_INSTRUCTIONS = @"You are an planner agent.
    Your job is to decide which agents to run based on the user's request.
    Below are the available agents specialised in different tasks:
    - FlightBooking: For booking flights and providing flight information
    - HotelBooking: For booking hotels and providing hotel information
    - CarRental: For booking cars and providing car rental information
    - ActivitiesBooking: For booking activities and providing activity information
    - DestinationInfo: For providing information about destinations
    - DefaultAgent: For handling general request";

// Configure agent with structured output
ChatClientAgentOptions agentOptions = new()
{
    Name = AGENT_NAME,
    Description = AGENT_INSTRUCTIONS,
    ChatOptions = new()
    {
        ResponseFormat = ChatResponseFormatJson.ForJsonSchema(
            schema: AIJsonUtilities.CreateJsonSchema(typeof(TravelPlan)),
            schemaName: "TravelPlan",
            schemaDescription: "Travel Plan with main_task and subtasks")
    }
};

// Create AI agent
AIAgent agent = azureClient
    .GetChatClient(deployment)
    .AsAIAgent(agentOptions);

// Execute planning request
Console.WriteLine(await agent.RunAsync("Create a travel plan for a family of 4, with 2 kids, from Singapore to Melbourne"));

// Define data models for structured output
public class Plan
{
    [JsonPropertyName("assigned_agent")]
    public string? Assigned_agent { get; set; }

    [JsonPropertyName("task_details")]
    public string? Task_details { get; set; }
}

public class TravelPlan
{
    [JsonPropertyName("main_task")]
    public string? Main_task { get; set; }

    [JsonPropertyName("subtasks")]
    public IList<Plan>? Subtasks { get; set; }
}

07 · 07-dotnet-agent-framework ​

07 · 07-dotnet-agent-framework