using Microsoft.SemanticKernel.ChatCompletion;

namespace Admin.NET.Application.Service.LLM;

[ApiDescriptionSettings(Name = "LLMTest", Description = "LLM测试,不可以切换模型")]
public class LLMTestService : IDynamicApiController, ITransient
{
    private readonly Kernel _kernel;
    public LLMTestService(Kernel kernel)
    {
        _kernel = kernel;
    }

    /// <summary>
    /// 演示使用常规大模型的使用，只能使用配置的默认模型，不能切换模型。
    /// </summary>
    /// <returns></returns>
    [HttpPost]
    [ApiDescriptionSettings(Name = "Test", Description = "测试")]
    public async Task<string> TestAsync()
    {
        //1. 非流式输出
        var result = await _kernel.InvokePromptAsync("请介绍自己");
        return result.ToString();
        //2. 流式输出
        // var chat = _kernel.GetRequiredService<IChatCompletionService>();
        // ChatHistory chatHistory = [];
        // chatHistory.AddUserMessage("请介绍自己");
        // var response =  chat.GetStreamingChatMessageContentsAsync(
        //     chatHistory: chatHistory,
        //     kernel: _kernel
        // );
        // var result = "";
        // await foreach (var chunk in response)
        // {
        //     result += chunk.Content ?? "";
        //     Console.WriteLine(chunk.Content);
        // }
        // return result;
    }
}