72 lines
2.3 KiB
C#
72 lines
2.3 KiB
C#
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using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Net.Http;
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using System.Text;
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using System.Threading.Tasks;
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using System.Net.Http;
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using System.Text;
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namespace OpenAIClient
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{
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internal class OpenAI
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{ // 替换为你的 OpenAI API 密钥
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private const string OPENAI_API_KEY = "your-openai-api-key-here";
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// 指定模型（例如 gpt-3.5-turbo 或 gpt-4）
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private const string MODEL_NAME = "qwen3-30b-a3b";
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public static async Task<string> GetOpenAIAnswer(string question)
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{
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using (var client = new HttpClient())
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{
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// 设置 API 地址和请求头
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client.BaseAddress = new Uri("http://localhost:1234/v1/chat/completions");
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client.DefaultRequestHeaders.Add("Authorization", $"Bearer {OPENAI_API_KEY}");
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// 构建请求体（JSON 格式）
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var request = new
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{
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model = MODEL_NAME,
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messages = new[]
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{
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new { role = "user", content = question }
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},
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temperature = 0.7, // 控制随机性（0-1）
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max_tokens = 200 // 最大生成长度
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};
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var jsonRequest = System.Text.Json.JsonSerializer.Serialize(request);
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var content = new StringContent(jsonRequest, Encoding.UTF8, "application/json");
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// 发送 POST 请求
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var response = await client.PostAsync("", content);
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// 确保响应成功
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response.EnsureSuccessStatusCode();
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// 解析 JSON 响应
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var jsonResponse = await response.Content.ReadAsStringAsync();
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var result = System.Text.Json.JsonSerializer.Deserialize<OpenAIResponse>(jsonResponse);
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// 提取模型回答
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return result?.Choices[0].Message.Content.Trim();
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}
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}
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// 定义响应类结构（根据实际 API 响应调整）
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private class OpenAIResponse
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{
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public Choice[] Choices { get; set; }
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}
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private class Choice
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{
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public Message Message { get; set; }
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}
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private class Message
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{
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public string Content { get; set; }
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}
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}
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}
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