OA2023/OASystem/OASystem.Api/OAMethodLib/ChatGPT/ChatGPTTools.cs

using Microsoft.AspNetCore.Http;
using OASystem.Domain;
using OpenAI.GPT3.Managers;
using OpenAI.GPT3;
using Org.BouncyCastle.Ocsp;
using System.Net.Http;
using System.Net.Http.Headers;
using OpenAI.GPT3.ObjectModels.RequestModels;
using OpenAI.GPT3.ObjectModels;
using static OpenAI.GPT3.ObjectModels.SharedModels.IOpenAiModels;
using System.IO;

namespace OASystem.API.OAMethodLib.ChatGPT
{
    /// <summary>
    /// ChatGPT 3.5
    /// </summary>
    public static class ChatGPTTools
    {
        private readonly static string _appKey = "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";
        private readonly static HttpClient _httpClient = new HttpClient { BaseAddress = new Uri("https://api.openai.com") };


        /// <summary>
        /// ChatGPT - Completions 自动补全
        /// </summary>
        /// <param name="prompt">提示（问题）</param>
        /// <returns></returns>
        public static async Task<Result> Completions(string prompt)
        {
            var result = new Result();

            string url = string.Format("{0}", "/v1/completions");
            var reqData = new CompletionCreateRequest()
            {
                Prompt = prompt,     //提示（问题） 你向API提供的提示，即你提出的问题
                Temperature = 0.3f,  //创新采样 取值范围0-1，当设置为0时，对于相同的问题，模型始终返回相同或者相近的结果，
                                     //设置1则与上次的回答更加不同。默认1
                TopP =1f,            //默认1。替代temperature使用，考虑了模型质量，0.1为生成结果的质量为10%，建议使用1。
                N = 1,               //默认1。针对提示所生成结果的次数，会大量消耗令牌。
                Stream = false,      //默认false。是否以流式返回部分进度，流完成后会发送终止消息data:[DONE]
                Echo = false,        //默认false，在返回结果外，还显示用户给的问题
                //Stop = "",           //最多四个序列，返回的文本不包括停止序列
                MaxTokens = 1024,    //默认16，大多数模型支持最大为204
            };

            return await PostChatGPT(url, reqData);
        }

        /// <summary>
        /// post 访问 
        /// </summary>
        /// <param name="url">接口路径</param>
        /// <param name="formData">请求参数</param>
        /// <returns></returns>
        public static async Task<Result> PostChatGPT(string url, CompletionCreateRequest reqData)
        {
            Result result = new Result();

            OpenAIService service = new OpenAIService(new OpenAiOptions() { ApiKey = _appKey });

            var res = await service.Completions.CreateCompletion(reqData, Models.TextDavinciV3);

            if (res.Successful)
            {
                result.Code = 0;
                result.Data =  new { Text = res.Choices.FirstOrDefault().Text };
            }
            else result.Msg = "访问失败!";

            return result;
        }
    }
}