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Dockerfile

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+FROM node:lts-alpine
+
+WORKDIR /app
+
+COPY package*.json ./
+
+RUN npm install
+
+COPY . .
+ENV PORT=7860
+EXPOSE 7860
+
+CMD ["npm", "start"]

gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

index.js

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+import express from 'express';
+import FormData from 'form-data';
+import { v4 as uuidv4 } from 'uuid';
+import fetch from 'node-fetch';
+import cors from 'cors';
+import Logger from './logger.js';
+import dotenv from 'dotenv';
+
+// 初始化环境变量
+dotenv.config();
+
+// 配置管理
+const CONFIG = {
+    SERVER: {
+        PORT: process.env.PORT || 25526,
+        BODY_LIMIT: '5mb',
+        CORS_OPTIONS: {
+            origin: '*',
+            methods: ['GET', 'POST', 'OPTIONS'],
+            allowedHeaders: ['Content-Type', 'Authorization'],
+            credentials: true
+        }
+    },
+    API: {
+        API_KEY: process.env.API_KEY || "sk-123456",
+        AUTH_TOKEN: process.env.AUTH_TOKEN,
+        CT0: process.env.CT0,
+        ENDPOINTS: {
+            CHAT: 'https://grok.x.com/2/grok/add_response.json',
+            CREATE_CONVERSATION: 'https://x.com/i/api/graphql/vvC5uy7pWWHXS2aDi1FZeA/CreateGrokConversation',
+            DELETE_CONVERSATION: 'https://x.com/i/api/graphql/TlKHSWVMVeaa-i7dqQqFQA/ConversationItem_DeleteConversationMutation',
+            UPLOAD_IMAGE: 'https://x.com/i/api/2/grok/attachment.json'
+        }
+    },
+    MODELS: {
+        "grok-3": "grok-3",
+        "grok-3-deepsearch": "grok-3",
+        "grok-3-reasoning": "grok-3",
+        "grok-3-imageGen": "grok-3",
+    },
+    IS_IMG_GEN: false,
+    IS_THINKING: false
+};
+
+// HTTP 请求头配置
+const DEFAULT_HEADERS = {
+    'authorization': 'Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA',
+    'sec-ch-ua': '"Google Chrome";v="131", "Chromium";v="131", "Not_A Brand";v="24"',
+    'sec-ch-ua-mobile': '?0',
+    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36',
+    'accept': '*/*',
+    'content-type': 'text/plain;charset=UTF-8',
+    'origin': 'https://x.com',
+    'sec-fetch-site': 'same-site',
+    'sec-fetch-mode': 'cors',
+    'accept-encoding': 'gzip, deflate, br, zstd',
+    'accept-language': 'zh-CN,zh;q=0.9',
+    'priority': 'u=1, i'
+};
+
+// 工具类
+class Utils {
+    static generateRandomString(length, charset = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ') {
+        return Array(length).fill(null)
+            .map(() => charset[Math.floor(Math.random() * charset.length)])
+            .join('');
+    }
+
+    static createAuthHeaders() {
+        return {
+            ...DEFAULT_HEADERS,
+            'x-csrf-token': CONFIG.API.CT0,
+            'cookie': `auth_token=${CONFIG.API.AUTH_TOKEN};ct0=${CONFIG.API.CT0}`
+        };
+    }
+
+    static getImageMimeType(base64String) {
+        const matches = base64String.match(/data:([a-zA-Z0-9]+\/[a-zA-Z0-9-.+]+);base64,/);
+        return matches ? matches[1] : 'image/jpeg';
+    }
+
+    static async handleApiResponse(response, errorMessage) {
+        if (!response.ok) {
+            throw new Error(`${errorMessage} Status: ${response.status}`);
+        }
+        return await response.json();
+    }
+}
+
+// 会话管理类
+class ConversationManager {
+    static async generateNewId() {
+        const response = await fetch(CONFIG.API.ENDPOINTS.CREATE_CONVERSATION, {
+            method: 'POST',
+            headers: Utils.createAuthHeaders(),
+            body: JSON.stringify({
+                variables: {},
+                queryId: "vvC5uy7pWWHXS2aDi1FZeA"
+            })
+        });
+
+        const data = await Utils.handleApiResponse(response, '创建会话失败!');
+        return data.data.create_grok_conversation.conversation_id;
+    }
+
+    static async deleteConversation(conversationId) {
+        if (!conversationId) return;
+
+        await fetch(CONFIG.API.ENDPOINTS.DELETE_CONVERSATION, {
+            method: 'POST',
+            headers: Utils.createAuthHeaders(),
+            body: JSON.stringify({
+                variables: { conversationId },
+                queryId: "TlKHSWVMVeaa-i7dqQqFQA"
+            })
+        });
+    }
+}
+
+// 消息处理类
+class MessageProcessor {
+    static createChatResponse(message, model, isStream = false) {
+        const baseResponse = {
+            id: `chatcmpl-${uuidv4()}`,
+            created: Math.floor(Date.now() / 1000),
+            model: model
+        };
+
+        if (isStream) {
+            return {
+                ...baseResponse,
+                object: 'chat.completion.chunk',
+                choices: [{
+                    index: 0,
+                    delta: { content: message }
+                }]
+            };
+        }
+
+        return {
+            ...baseResponse,
+            object: 'chat.completion',
+            choices: [{
+                index: 0,
+                message: {
+                    role: 'assistant',
+                    content: message
+                },
+                finish_reason: 'stop'
+            }],
+            usage: null
+        };
+    }
+
+    static processMessageContent(content) {
+        if (typeof content === 'string') return content;
+        if (Array.isArray(content)) {
+            if (content.some(item => item.type === 'image_url')) return null;
+            return content
+                .filter(item => item.type === 'text')
+                .map(item => item.text)
+                .join('\n');
+        }
+        if (typeof content === 'object') return content.text || null;
+        return null;
+    }
+}
+
+// Grok API 客户端类
+class TwitterGrokApiClient {
+    constructor(modelId) {
+        if (!CONFIG.MODELS[modelId]) {
+            throw new Error(`不支持的模型: ${modelId}`);
+        }
+        this.modelId = CONFIG.MODELS[modelId];
+        this.modelType = {
+            isDeepSearch: modelId === 'grok-3-deepsearch',
+            isReasoning: modelId === 'grok-3-reasoning'
+        };
+    }
+
+    async uploadImage(imageData) {
+        const formData = new FormData();
+        const imageBuffer = Buffer.from(imageData.split(',')[1], 'base64');
+        const mimeType = Utils.getImageMimeType(imageData);
+
+        formData.append('photo', imageBuffer, {
+            filename: 'image.png',
+            contentType: mimeType
+        });
+
+        const response = await fetch(CONFIG.API.ENDPOINTS.UPLOAD_IMAGE, {
+            method: 'POST',
+            headers: {
+                ...Utils.createAuthHeaders(),
+                ...formData.getHeaders()
+            },
+            body: formData
+        });
+
+        return await Utils.handleApiResponse(response, '图片上传失败');
+    }
+
+    async transformMessages(messages) {
+        const processedMessages = [];
+        for (let i = 0; i < messages.length; i++) {
+            const isLastTwoMessages = i >= messages.length - 2;
+            const content = await this.processMessageContent(messages[i], isLastTwoMessages);
+            if (content) {
+                processedMessages.push(content);
+            }
+        }
+        return processedMessages;
+    }
+
+    async processMessageContent(msg, isLastTwoMessages) {
+        const { role, content } = msg;
+        let message = '';
+        let fileAttachments = [];
+
+        if (typeof content === 'string') {
+            message = content;
+        } else if (Array.isArray(content) || typeof content === 'object') {
+            const { text, imageAttachments } = await this.processComplexContent(content, isLastTwoMessages);
+            message = text;
+            fileAttachments = imageAttachments;
+        }
+
+        return {
+            message,
+            sender: role === 'user' ? 1 : 2,
+            ...(role === 'user' && { fileAttachments })
+        };
+    }
+
+    async processComplexContent(content, isLastTwoMessages) {
+        let text = '';
+        let imageAttachments = [];
+
+        const processItem = async (item) => {
+            if (item.type === 'text') {
+                text += item.text;
+            } else if (item.type === 'image_url' && item.image_url.url.includes('data:image')) {
+                if (isLastTwoMessages) {
+                    const uploadResult = await this.uploadImage(item.image_url.url);
+                    if (Array.isArray(uploadResult)) {
+                        imageAttachments.push(...uploadResult);
+                    }
+                } else {
+                    text += '[图片]';
+                }
+            }
+        };
+
+        if (Array.isArray(content)) {
+            await Promise.all(content.map(processItem));
+        } else {
+            await processItem(content);
+        }
+
+        return { text, imageAttachments };
+    }
+
+    async prepareChatRequest(request) {
+        const responses = await this.transformMessages(request.messages);
+        const conversationId = await ConversationManager.generateNewId();
+
+        return {
+            responses,
+            systemPromptName: "",
+            grokModelOptionId: this.modelId,
+            conversationId,
+            returnSearchResults: this.modelType.isReasoning,
+            returnCitations: this.modelType.isReasoning,
+            promptMetadata: {
+                promptSource: "NATURAL",
+                action: "INPUT"
+            },
+            imageGenerationCount: 1,
+            requestFeatures: {
+                eagerTweets: false,
+                serverHistory: false
+            },
+            enableCustomization: true,
+            enableSideBySide: false,
+            toolOverrides: {
+                imageGen: request.model === 'grok-3-imageGen',
+            },
+            isDeepsearch: this.modelType.isDeepSearch,
+            isReasoning: this.modelType.isReasoning
+        };
+    }
+}
+
+// 响应处理类
+class ResponseHandler {
+    static async handleStreamResponse(response, model, res) {
+        res.setHeader('Content-Type', 'text/event-stream');
+        res.setHeader('Cache-Control', 'no-cache');
+        res.setHeader('Connection', 'keep-alive');
+
+        const reader = response.body;
+        let buffer = '';
+        CONFIG.IS_IMG_GEN = false;
+        CONFIG.IS_THINKING = false;
+
+        try {
+            for await (const chunk of reader) {
+                const lines = (buffer + chunk.toString()).split('\n');
+                buffer = lines.pop() || '';
+
+                for (const line of lines) {
+                    if (!line.trim()) continue;
+                    await this.processStreamLine(JSON.parse(line), model, res);
+                }
+            }
+
+            res.write('data: [DONE]\n\n');
+            res.end();
+        } catch (error) {
+            Logger.error('Stream response error:', error, 'ChatAPI');
+            throw error;
+        }
+    }
+
+    static async processStreamLine(jsonData, model, res) {
+        if (jsonData.result?.doImgGen) {
+            CONFIG.IS_IMG_GEN = true;
+            return;
+        }
+
+        if (CONFIG.IS_IMG_GEN && jsonData.result?.event?.imageAttachmentUpdate?.progress === 100) {
+            await this.handleImageGeneration(jsonData, model, res);
+            return;
+        }
+
+        if (!CONFIG.IS_IMG_GEN && jsonData.result?.message) {
+            await this.handleTextMessage(jsonData, model, res);
+        }
+    }
+
+    static async handleImageGeneration(jsonData, model, res) {
+        const imageUrl = jsonData.result.event.imageAttachmentUpdate.imageUrl;
+        const imageResponse = await fetch(imageUrl, {
+            method: 'GET',
+            headers: Utils.createAuthHeaders()
+        });
+
+        if (!imageResponse.ok) {
+            throw new Error(`Image request failed: ${imageResponse.status}`);
+        }
+
+        const imageBuffer = await imageResponse.arrayBuffer();
+        const base64Image = Buffer.from(imageBuffer).toString('base64');
+        const imageContentType = imageResponse.headers.get('content-type');
+        const message = `![image](data:${imageContentType};base64,${base64Image})`;
+
+        const responseData = MessageProcessor.createChatResponse(message, model, true);
+        res.write(`data: ${JSON.stringify(responseData)}\n\n`);
+    }
+
+    static async handleTextMessage(jsonData, model, res) {
+        let message = jsonData.result.message;
+
+        switch (model) {
+            case "grok-3-reasoning":
+                if (!CONFIG.IS_THINKING && jsonData.result?.isThinking) {
+                    message = "<think>" + message;
+                    CONFIG.IS_THINKING = true;
+                } else if (CONFIG.IS_THINKING && !jsonData.result?.isThinking) {
+                    message = "</think>" + message;
+                    CONFIG.IS_THINKING = false;
+                }
+                break;
+            case "grok-3-deepsearch":
+                if (jsonData.result?.messageTag !== "final") return;
+                break;
+        }
+
+        const responseData = MessageProcessor.createChatResponse(message, model, true);
+        res.write(`data: ${JSON.stringify(responseData)}\n\n`);
+    }
+
+    static async handleNormalResponse(response, model, res) {
+        const reader = response.body;
+        let buffer = '';
+        let fullResponse = '';
+        let imageUrl = null;
+
+        try {
+            for await (const chunk of reader) {
+                const lines = (buffer + chunk.toString()).split('\n');
+                buffer = lines.pop() || '';
+
+                for (const line of lines) {
+                    if (!line.trim()) continue;
+                    const result = await this.processNormalLine(JSON.parse(line), model, CONFIG.IS_THINKING);
+                    fullResponse += result.text || '';
+                    imageUrl = result.imageUrl || imageUrl;
+                    CONFIG.IS_THINKING = result.isThinking;
+                }
+            }
+
+            if (imageUrl) {
+                await this.sendImageResponse(imageUrl, model, res);
+            } else {
+                const responseData = MessageProcessor.createChatResponse(fullResponse, model);
+                res.json(responseData);
+            }
+        } catch (error) {
+            Logger.error('Normal response error:', error, 'ChatAPI');
+            throw error;
+        }
+    }
+
+    static async processNormalLine(jsonData, model, isThinking) {
+        let result = { text: '', imageUrl: null, isThinking };
+
+        if (jsonData.result?.message) {
+            switch (model) {
+                case "grok-3-reasoning":
+                    result = this.processReasoningMessage(jsonData, isThinking);
+                    break;
+                case "grok-3-deepsearch":
+                    if (jsonData.result?.messageTag === "final") {
+                        result.text = jsonData.result.message;
+                    }
+                    break;
+                default:
+                    result.text = jsonData.result.message;
+            }
+        }
+
+        if (jsonData.result?.event?.imageAttachmentUpdate?.progress === 100) {
+            result.imageUrl = jsonData.result.event.imageAttachmentUpdate.imageUrl;
+        }
+
+        return result;
+    }
+
+    static processReasoningMessage(jsonData, isThinking) {
+        let result = { text: '', isThinking };
+
+        if (jsonData.result?.isThinking && !isThinking) {
+            result.text = "<think>" + jsonData.result.message;
+            result.isThinking = true;
+        } else if (isThinking && !jsonData.result?.isThinking) {
+            result.text = "</think>" + jsonData.result.message;
+            result.isThinking = false;
+        } else {
+            result.text = jsonData.result.message;
+        }
+
+        return result;
+    }
+
+    static async sendImageResponse(imageUrl, model, res) {
+        const response = await fetch(imageUrl, {
+            method: 'GET',
+            headers: Utils.createAuthHeaders()
+        });
+
+        if (!response.ok) {
+            throw new Error(`Image request failed: ${response.status}`);
+        }
+
+        const imageBuffer = await response.arrayBuffer();
+        const base64Image = Buffer.from(imageBuffer).toString('base64');
+        const imageContentType = response.headers.get('content-type');
+
+        const responseData = MessageProcessor.createChatResponse(
+            `![image](data:${imageContentType};base64,${base64Image})`,
+            model
+        );
+        res.json(responseData);
+    }
+}
+
+// Express 应用配置
+const app = express();
+app.use(Logger.requestLogger);
+app.use(cors(CONFIG.SERVER.CORS_OPTIONS));
+app.use(express.json({ limit: CONFIG.SERVER.BODY_LIMIT }));
+app.use(express.urlencoded({ extended: true, limit: CONFIG.SERVER.BODY_LIMIT }));
+
+// API 路由
+app.get('/hf/v1/models', (req, res) => {
+    res.json({
+        object: "list",
+        data: Object.keys(CONFIG.MODELS).map(model => ({
+            id: model,
+            object: "model",
+            created: Math.floor(Date.now() / 1000),
+            owned_by: "xgrok",
+        }))
+    });
+});
+
+app.post('/hf/v1/chat/completions', async (req, res) => {
+    try {
+        const authToken = req.headers.authorization?.replace('Bearer ', '');
+        if (authToken !== CONFIG.API.API_KEY) {
+            return res.status(401).json({ error: 'Unauthorized' });
+        }
+
+        const grokClient = new TwitterGrokApiClient(req.body.model);
+        const requestPayload = await grokClient.prepareChatRequest(req.body);
+
+        const response = await fetch(CONFIG.API.ENDPOINTS.CHAT, {
+            method: 'POST',
+            headers: Utils.createAuthHeaders(),
+            body: JSON.stringify(requestPayload)
+        });
+
+        if (!response.ok) {
+            throw new Error(`上游服务请求失败! status: ${response.status}`);
+        }
+
+        await (req.body.stream
+            ? ResponseHandler.handleStreamResponse(response, req.body.model, res)
+            : ResponseHandler.handleNormalResponse(response, req.body.model, res));
+
+    } catch (error) {
+        Logger.error('Chat Completions Request Error', error, 'ChatAPI');
+        res.status(500).json({
+            error: {
+                message: error.message,
+                type: 'server_error',
+                param: null,
+                code: error.code || null
+            }
+        });
+    } finally {
+        if (req.body.conversationId) {
+            await ConversationManager.deleteConversation(req.body.conversationId);
+        }
+    }
+});
+
+// 404 处理
+app.use((req, res) => {
+    res.status(404).json({ error: '请求路径不存在' });
+});
+
+// 启动服务器
+app.listen(CONFIG.SERVER.PORT, () => {
+    Logger.info(`服务器运行在端口 ${CONFIG.SERVER.PORT}`, 'Server');
+});

logger.js

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+import chalk from 'chalk';
+import moment from 'moment';
+
+const LogLevel = {
+INFO: 'INFO',
+WARN: 'WARN',
+ERROR: 'ERROR',
+DEBUG: 'DEBUG'
+};
+
+class Logger {
+static formatMessage(level, message) {
+  const timestamp = moment().format('YYYY-MM-DD HH:mm:ss');
+  
+  switch(level) {
+    case LogLevel.INFO:
+      return chalk.blue(`[${timestamp}] [${level}] ${message}`);
+    case LogLevel.WARN:
+      return chalk.yellow(`[${timestamp}] [${level}] ${message}`);
+    case LogLevel.ERROR:
+      return chalk.red(`[${timestamp}] [${level}] ${message}`);
+    case LogLevel.DEBUG:
+      return chalk.gray(`[${timestamp}] [${level}] ${message}`);
+    default:
+      return message;
+  }
+}
+
+static info(message, context) {
+  console.log(this.formatMessage(LogLevel.INFO, context ? `[${context}] ${message}` : message));
+}
+
+static warn(message, context) {
+  console.warn(this.formatMessage(LogLevel.WARN, context ? `[${context}] ${message}` : message));
+}
+
+static error(message, error, context) {
+  const errorMessage = error ? ` - ${error.message}` : '';
+  console.error(this.formatMessage(LogLevel.ERROR, `${context ? `[${context}] ` : ''}${message}${errorMessage}`));
+}
+
+static debug(message, context) {
+  if (process.env.NODE_ENV === 'development') {
+    console.debug(this.formatMessage(LogLevel.DEBUG, context ? `[${context}] ${message}` : message));
+  }
+}
+
+static requestLogger(req, res, next) {
+  const startTime = Date.now();
+  
+  res.on('finish', () => {
+    const duration = Date.now() - startTime;
+    const logMessage = `${req.method} ${req.path} - ${res.statusCode} (${duration}ms)`;
+    
+    if (res.statusCode >= 400) {
+      Logger.error(logMessage, undefined, 'HTTP');
+    } else {
+      Logger.info(logMessage, 'HTTP');
+    }
+  });
+
+  next();
+}
+}
+
+export default Logger;

package.json

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+{
+	"name": "xgrokServicee",
+	"version": "1.0.0",
+	"main": "index.js",
+	"type": "module",
+	"scripts": {
+		"start": "node index.js"
+	},
+	"author": "yxmiler",
+	"dependencies": {
+		"express": "^4.18.2",
+		"cors": "^2.8.5",
+		"dotenv": "^16.3.1",
+		"uuid": "^9.0.0",
+		"chalk": "^5.4.1",
+		"moment": "^2.30.1",
+		"node-fetch": "^3.3.2",
+		"form-data": "^4.0.0"
+	}
+}