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我做了第一个ChatGPT .net api聊天库 - BruceNeter

 1 year ago
source link: https://www.cnblogs.com/qwqwQAQ/p/16981579.html
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最近这个ChatGPT很火啊,看了B站上很多视频,自己非常手痒,高低自己得整一个啊,但是让我很难受的是,翻遍了github前十页,竟然没有一个C#的ChatGPT项目,我好难受啊!那能怎么办?自己搞一个吧。
但是,等等,现在的ChatGPT项目基本都是网页逆向获取几个token,我不会啊,我都不知道哪些cookie是重要的,那我只能找一个其它语言的ChatGPT API项目,自己造(翻译)一个c#的ChatGPT API库了。

ChatGPT是啥?

先了解GTP,摘自官网的一段话“A set of models that can understand and generate natural language”,其实,就是一个自然语言处理的模型。所以ChatGPT顾名思义就是基于GPT3的一个聊天AI。
但是想让他做苦力帮忙写代码的话所需要的其实不是这个模型,而是Codex这个模型,按照官网所说“Most capable Codex model. Particularly good at translating natural language to code. In addition to completing code, also supports inserting completions within code.”。真的是碉堡了!

第一步:注册OpenAI账号

因为对大陆以及中国香港地区不开放,所以我们需要小小的科学一下。
来一个我就是参照着申请账号的园子的文章:
https://www.cnblogs.com/chatgpt/p/how-to-register-chatgpt-in-china.html
当然手机那里可以淘宝找,几块钱就能帮忙注册手机,账号里面默认还有18美元余额。

注意点:如果搭建了科学还是提示不对你的国家提供服务的话,尝试清空浏览器缓存或者打开浏览器的无痕窗口。Chrome默认在右上角三个点打开就能找到“打开新的无痕式窗口”。

万事具备,直接撸代码

1.网页获取所需token和cookie

我们需要三个东西:UserAgent,CfClearance,Session_token
我们需要先打开ChatGPT官方网站:https://chat.openai.com/chat 然后按下F12打开浏览器的开发者模式
UserAgent在网络里(只需要复制UserAgent:后面的值):

1306612-20221213230726533-1600515852.png

CfClearance和Session_token在应用程序->cookie里面

1306612-20221213230900304-1296951602.png

2.创建一个session用来表示一个会话

public OpenAISession(string session_token,string cfClearance,string userAgent)
{
    Session_token = session_token;
    CfClearance = cfClearance;
    UserAgent = userAgent;
    Headers = new Dictionary<string, string>();
    Cookies = new Dictionary<string, string>();
    Proxies = new Dictionary<string, string>();
}

Session可以刷新自己的AccessToken和Session_token

public async Task RefreshSessionAsync()
{
    if (string.IsNullOrEmpty(Session_token))
    {
        throw new Exception("No tokens provided");
    }

    // Set cookies
    Cookies.Put("__Secure-next-auth.session-token", Session_token);
    Cookies.Put("cf_clearance", CfClearance);
    string cookiesString = GetCookiesString();
    Dictionary<string, string> map = new Dictionary<string, string>();
    Headers.Put("User-Agent", UserAgent);
    Headers.Put("cookie", cookiesString);
    Headers.Put("Cookie", cookiesString);

    var response = await GetAsync("https://chat.openai.com/api/auth/session");
    if (!response.IsSuccessStatusCode)
    {
        Console.WriteLine("err code: " + response.StatusCode);
        Console.WriteLine("cf_clearance: " + CfClearance);
        Console.WriteLine("token: " + Session_token);
        Console.WriteLine("userAgent: " + UserAgent);
        Console.WriteLine("请检查以上参数是否正确,是否过期。");

        throw new Exception("无法获取token!请重试");
    }

    try
    {
        string name = "__Secure-next-auth.session-token=";
        var cookies = response.Headers.GetValues("Set-Cookie");
        var stoken = cookies.FirstOrDefault(x => x.StartsWith(name));
        Session_token = stoken == null ? Session_token : stoken.Substring(name.Length, stoken.IndexOf(";") - name.Length);
        Cookies.Put("__Secure-next-auth.session-token", Session_token);
        var result = await response.Content.ReadAsStringAsync();
        AccessToken = JsonSerializer.Deserialize<Profile>(result, _jsonSerializerOptions)?.AccessToken;
        RefreshHeaders();
    }
    catch (Exception ex)
    {
        Console.WriteLine($"Error {nameof(RefreshSessionAsync)}:{ex}");
        throw new Exception($"Error {nameof(RefreshSessionAsync)}", ex);
    }
}

获取到的最新的AccessToken更新到header里,Session_token更新到cookie里

private void RefreshHeaders()
{
    Headers.Put("Host", "chat.openai.com");
    Headers.Put("Accept", "text/event-stream");
    Headers.Put("Authorization", $"Bearer {AccessToken}");
    Headers.Put("User-Agent", UserAgent);
    Headers.Put("X-Openai-Assistant-App-Id", string.Empty);
    Headers.Put("Connection", "close");
    Headers.Put("Accept-Language", "en-US,en;q=0.9");
    Headers.Put("Referer", "https://chat.openai.com/chat");
}

string name = "__Secure-next-auth.session-token=";
var cookies = response.Headers.GetValues("Set-Cookie");
var stoken = cookies.FirstOrDefault(x => x.StartsWith(name));
Session_token = stoken == null ? Session_token : stoken.Substring(name.Length, stoken.IndexOf(";") - name.Length);
Cookies.Put("__Secure-next-auth.session-token", Session_token);

3.创建机器人绑定一个会话

public Chatbot(OpenAISession openAISession)
{
    OpenAISession = openAISession;
    ResetConversation();
}

/// <summary>
/// 重置Conversation,开启一个新的会话
/// </summary>
public void ResetConversation() 
{
    _conversationId = null;
    _parentMessageId = Guid.NewGuid().ToString();
}

如何保持上下文聊天以及多用户隔离?
上下文聊天已经内置,会自动与机器人的回复进行关联,当需要重新开启一个对话的时候,可以调用ResetConversation,这样对应的机器人对象发过去就是开启了一个新的对话。

如何多用户隔离?比如联合微信机器人使用,可以将一个人或者一个群对应一个Chatbot对象,并且利用id与机器人做关联。
当然这个_clientID需要使用者做唯一性管理

//可以作为隔离不同客户端聊天上下文的凭据,即一个机器人绑定一个客户端
//客户端编号可以是,微信id,qq id,飞书id,亦或者自己开发的软件的用户id
private readonly string _clientID; 

public Chatbot(OpenAISession openAISession, string clientID)
{
    OpenAISession = openAISession;
    _clientID = clientID == null ? Guid.NewGuid().ToString() : clientID;
    ResetConversation();
}

最后构造对话对象,发送到对应api

public async Task<Reply> GetChatReplyAsync(string prompt)
{
    var conversation = new Conversation();
    conversation.Conversation_id = _conversationId;
    conversation.Parent_message_id = _parentMessageId;
    conversation.Messages = new Message[]
    {
        new Message()
        {
            Content = new Content
            {
                Parts = new string []{ prompt }
            }
        }
    };

    return await GetChatResponseAsync(conversation);
}

/// <summary>
/// 获取响应
/// </summary>
/// <param name="conversation"></param>
/// <returns></returns>
/// <exception cref="Exception">服务器返回非200</exception>
private async Task<Reply> GetChatResponseAsync(Conversation conversation)
{
    using (var client = new HttpClient())
    {
        var response = await OpenAISession.PostAsync(_conversation, JsonSerializer.Serialize(conversation, _jsonSerializerOptions));
        if (!response.IsSuccessStatusCode)
        {
            throw new Exception($"Faild to request.StatusCode:{response.StatusCode}");
        }
        var msg = await response.Content.ReadAsStringAsync();
        var data = msg.Split("\n")?.ToList().Where(x => !string.IsNullOrEmpty(x) && !x.Contains("data: [DONE]")).LastOrDefault()?.Substring(5);
        var reply = JsonSerializer.Deserialize<Reply>(data, _jsonSerializerOptions);
        _conversationId = reply.Conversation_id;

        return reply;
    }
}

效果截图(仅测试)

OpenAISession openAIOptions = new OpenAISession(Session_token, CfClearance, UserAgent);
await openAIOptions.RefreshSessionAsync();
Chatbot chatbot = new Chatbot(openAIOptions);
Console.WriteLine("用c++写个冒泡查询");
var reply = await chatbot.GetChatReplyAsync("用c++写个冒泡查询");
Console.WriteLine(reply.Message.Content.Parts.FirstOrDefault());
1306612-20221214111446208-1151038605.png

源码(欢迎star)

https://github.com/BruceQiu1996/NChatGPTRev


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