AISln/DFS.AI.API/DFS.AI.API/Helper/FunToolHandle.cs

using Microsoft.Extensions.AI;
using OpenAI.Chat;
using System.Diagnostics;
using System.Reflection.Metadata.Ecma335;
using System.Text.Json;
using System.Threading;

namespace DFS.AI.API.Helper
{

    /// <summary>
    /// 大模型工具应用
    /// </summary>
    public class FunToolHandle
    {

        public async Task<string> Demo()
        {
            var chatClient = AIClientHelper.GetOllamaApiClient();
            // 创建模拟工具集
            var monitoringTools = new[]
            {
                AIFunctionFactory.Create((string city) =>
                {
                    Thread.Sleep(500); // 模拟API延迟
                     return new { Temperature = Random.Shared.Next(15, 35), Humidity = Random.Shared.Next(40, 80) };
                }, "get_weather", "获取指定城市的天气信息"),

                AIFunctionFactory.Create((string city) =>
                {
                    Thread.Sleep(300);
                    return new { Hotels = Random.Shared.Next(50, 200), AvgPrice = Random.Shared.Next(300, 1500) };
                }, "get_hotels", "查询指定城市的酒店数量和平均价格"),

                 AIFunctionFactory.Create((int temperature) =>
                {
                    return temperature switch
                    {
                        < 15 => "建议穿冬装，携带保暖衣物",
                        < 25 => "建议穿春秋装，温度适宜",
                        _ => "建议穿夏装，注意防晒"
                    };
                }, "suggest_clothing", "根据温度推荐穿搭")
            };

            // 构建带监控的客户端
            int iterationCount = 0;
            int functionCallCount = 0;

            var monitoredClient = chatClient.AsBuilder()
                .UseFunctionInvocation(configure: options =>
                {
                    options.AllowConcurrentInvocation = true;
                    options.MaximumIterationsPerRequest = 10;
                    options.FunctionInvoker = async (context, cancellationToken) =>
                    {
                        functionCallCount++;
                        var sw = Stopwatch.StartNew();

                        Console.WriteLine($"\n🔵 [函数调用 #{functionCallCount}]");
                        Console.WriteLine($"   函数名: {context.Function.Name}");
                        Console.WriteLine($"   参数: {JsonSerializer.Serialize(context.Arguments)}");

                        var result = await context.Function.InvokeAsync(context.Arguments, cancellationToken);
                        sw.Stop();

                        Console.WriteLine($"   结果: {result}");
                        Console.WriteLine($"   耗时: {sw.ElapsedMilliseconds}ms");

                        return result;
                    };
                })
                .Build();

            // 执行复杂查询
            Console.WriteLine("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━");
            Console.WriteLine("📋 用户查询：帮我查询北京和上海的天气，并根据北京的温度推荐穿搭\n");

            var monitoringOptions = new ChatOptions
            {
                ToolMode = ChatToolMode.Auto,
                AllowMultipleToolCalls = true,
                Tools = monitoringTools
            };

            var monitoringResult = await monitoredClient.GetResponseAsync(
                "帮我查询北京和上海的天气，并根据北京的温度推荐穿搭",
                monitoringOptions
            );

            Console.WriteLine("\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━");
            Console.WriteLine("✅ 最终响应:");
            Console.WriteLine(monitoringResult.Text);
            Console.WriteLine($"\n📊 统计: 共 {iterationCount} 次迭代，{functionCallCount} 次函数调用");

            return monitoringResult.Text;
        }


        /// <summary>
        /// 自助加油识别计算总价，返回定量升数
        /// </summary>
        /// <returns></returns>
        public async Task FuelPrices()
        {
            var chatClient = AIClientHelper.GetOllamaApiClient();
            // 创建模拟工具集
            var monitoringTools = new[]
            {
                AIFunctionFactory.Create((decimal prices,int fuel) =>
                {
                    //var L=0;
                    //switch (switch_on)
                    //{
                    //    default:
                    //}

                }, "cal_liters", "根据金额计算油品升数"),
            };
        }
    }
}