110 lines
4.0 KiB
C#
110 lines
4.0 KiB
C#
using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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namespace VideoAnalysisCore.AICore.GPT.ChatGPT
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{
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/// <summary>
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/// 请求数据
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/// </summary>
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public class ChatRequest
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{
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/// <summary>
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/// 对话
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/// </summary>
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public Message[] messages { get; set; }
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/// <summary>
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/// 提问种子值[用来确保 相同参数请求尽可能返回相同参数]
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/// <para>默认:null</para>
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/// <para>此功能处于 Beta 阶段。 如果指定，我们的系统将尽最大努力确定性地采样，这样具有相同 and 参数的重复请求应该返回相同的结果。 无法保证确定性，您应该参考 response 参数来监控后端的变化</para>
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/// </summary>
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public int? seed { get; set; } =null;
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public string model { get; set; } = ChatGPTType.GPT4o;
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/// <summary>
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/// 要使用的采样温度，介于 0 和 2 之间。较高的值（如 0.8）将使输出更加随机，而较低的值（如 0.2）将使其更加集中和确定。 我们通常建议更改此项或同时更改两者。top_p
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/// <para> 默认为 1</para>
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/// <para> <see cref="ChatRequest.top_p"/>联动</para>
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/// </summary>
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public float temperature { get; set; } = 0.2f;
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/// <summary>
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/// 一种替代温度采样的方法，称为原子核采样， 其中，模型考虑具有top_p概率的标记的结果 质量。所以 0.1 表示仅包含前 10% 概率质量的代币 被考
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/// <para>建议与<see cref="ChatRequest.temperature"/>联动</para>
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/// </summary>
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public float top_p { get; set; } = 0.5f;
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public float max_completion_tokens { get; set; } = 5000;
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/// <summary>
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/// 一个对象，用于指定模型必须输出的格式。设置为 enable 结构化输出，确保模型与您提供的 JSON 匹配 图式。
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/// </summary>
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public object response_format = new { type = "json_object" };
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/// <summary>
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/// 流式返回
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/// </summary>
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public bool stream =false;
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/// <summary>
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/// 您希望模型为此请求生成的 Output types。 大多数模型都能够生成文本，这是
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/// <para>默认设置： ["text"]</para>
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/// <para>该模型还可用于生成音频。自 请求此模型同时生成文本和音频响应，您可以 用：gpt-4o-audio-preview["text", "audio"]</para>
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/// </summary>
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public string modalities = "[\"json\"]";
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/// <summary>
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/// ai引导新话题
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/// <para>默认-2 范围[-2~2]</para>
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/// </summary>
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public int presence_penalty = -2;
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}
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public class Message
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{
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public Message(string content, string role)
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{
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this.role = role;
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this.content = content;
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}
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public string role { get; set; }
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public string content { get; set; }
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public string refusal { get; set; }
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}
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/// <summary>
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/// gpt返回值
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/// </summary>
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public class ChatRes
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{
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public string id { get; set; }
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public string _object { get; set; }
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public int created { get; set; }
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public string model { get; set; }
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public ChatResError error { get; set; }
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public Choice[] choices { get; set; }
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public Usage usage { get; set; }
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/// <summary>
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/// 系统指纹
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/// </summary>
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public string system_fingerprint { get; set; }
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}
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public class Usage
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{
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public int prompt_tokens { get; set; }
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public int completion_tokens { get; set; }
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public int total_tokens { get; set; }
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}
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public class Choice
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{
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public int index { get; set; }
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public Message message { get; set; }
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public object logprobs { get; set; }
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public string finish_reason { get; set; }
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}
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public class ChatResError
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{
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public string message { get; set; }
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public string type { get; set; }
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}
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}
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