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Dockerfile

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+FROM node:18-alpine
+
+WORKDIR /app
+
+COPY package*.json ./
+RUN npm install
+COPY . .
+
+ENV PORT=7860
+EXPOSE 7860
+
+CMD ["npm", "start"]

index.js

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+import express from 'express';
+import fetch from 'node-fetch';
+import dotenv from 'dotenv';
+import { v4 as uuidv4 } from 'uuid';
+import cors from 'cors';
+
+// 初始化环境变量
+dotenv.config();
+
+/**
+ * 配置管理类
+ */
+class Config {
+    constructor() {
+        this.initializeApiKeys();
+        this.initializeAuth();
+        
+        // 已使用的API Key池
+        this.usedApiKeys = [];
+        
+        // 失效的API Key池
+        this.invalidApiKeys = [];
+        
+        // Gemini安全设置
+        this.geminiSafety = [
+            {
+                category: 'HARM_CATEGORY_HARASSMENT',
+                threshold: 'OFF',
+            },
+            {
+                category: 'HARM_CATEGORY_HATE_SPEECH',
+                threshold: 'OFF',
+            },
+            {
+                category: 'HARM_CATEGORY_SEXUALLY_EXPLICIT',
+                threshold: 'OFF',
+            },
+            {
+                category: 'HARM_CATEGORY_DANGEROUS_CONTENT',
+                threshold: 'OFF',
+            },
+            {
+                category: 'HARM_CATEGORY_CIVIC_INTEGRITY',
+                threshold: 'OFF',
+            },
+        ];
+    }
+    
+    /**
+     * 初始化API Keys
+     */
+    initializeApiKeys() {
+        const apiKeysEnv = process.env.GEMINI_API_KEYS;
+        if (!apiKeysEnv) {
+            console.error('❌ 错误: 未找到 GEMINI_API_KEYS 环境变量');
+            process.exit(1);
+        }
+        
+        // 通过换行符分割API Keys
+        this.apiKeys = apiKeysEnv
+            .split('\n')
+            .map(key => key.trim())
+            .filter(key => key.length > 0);
+        
+        if (this.apiKeys.length === 0) {
+            console.error('❌ 错误: 没有找到有效的API Keys');
+            process.exit(1);
+        }
+        
+        console.log(`✅ 成功加载 ${this.apiKeys.length} 个API Keys`);
+    }
+    
+    /**
+     * 初始化认证配置
+     */
+    initializeAuth() {
+        this.authToken = process.env.AUTH_TOKEN || 'sk-123456';
+    }
+    
+    /**
+     * 获取可用的API Key（负载均衡）
+     */
+    getApiKey() {
+        if (this.apiKeys.length === 0) {
+            if (this.usedApiKeys.length > 0) {
+                this.apiKeys.push(...this.usedApiKeys);
+                this.usedApiKeys = [];
+            } else {
+                return null;
+            }
+        }
+        
+        const apiKey = this.apiKeys.shift();
+        this.usedApiKeys.push(apiKey);
+        return apiKey;
+    }
+    
+    /**
+     * 获取第一个可用的API Key（用于模型列表请求）
+     */
+    getFirstAvailableApiKey() {
+        if (this.apiKeys.length > 0) {
+            return this.apiKeys[0];
+        }
+        if (this.usedApiKeys.length > 0) {
+            return this.usedApiKeys[0];
+        }
+        return null;
+    }
+    
+    /**
+     * 将API Key标记为失效
+     */
+    markKeyAsInvalid(apiKey) {
+        const usedIndex = this.usedApiKeys.indexOf(apiKey);
+        if (usedIndex !== -1) {
+            this.usedApiKeys.splice(usedIndex, 1);
+        }
+        
+        const mainIndex = this.apiKeys.indexOf(apiKey);
+        if (mainIndex !== -1) {
+            this.apiKeys.splice(mainIndex, 1);
+        }
+        
+        if (!this.invalidApiKeys.includes(apiKey)) {
+            this.invalidApiKeys.push(apiKey);
+        }
+        
+        console.warn(`⚠️ API Key 已标记为失效: ${apiKey.substring(0, 10)}...`);
+    }
+    
+    /**
+     * 将API Key移回已使用池
+     */
+    moveToUsed(apiKey) {
+        if (!this.usedApiKeys.includes(apiKey)) {
+            this.usedApiKeys.push(apiKey);
+        }
+    }
+    
+    /**
+     * 验证授权头
+     */
+    validateAuth(authHeader) {
+        if (!authHeader) {
+            return false;
+        }
+        
+        const token = authHeader.replace('Bearer ', '');
+        return token === this.authToken;
+    }
+}
+
+/**
+ * 图片处理器类
+ */
+class ImageProcessor {
+    /**
+     * 从data URL中提取MIME类型和base64数据
+     */
+    static parseDataUrl(dataUrl) {
+        try {
+            // 匹配data:image/jpeg;base64,<base64data>格式
+            const match = dataUrl.match(/^data:([^;]+);base64,(.+)$/);
+            if (!match) {
+                throw new Error('无效的data URL格式');
+            }
+            
+            const mimeType = match[1];
+            const base64Data = match[2];
+            
+            // 验证MIME类型是否为支持的图片格式
+            const supportedMimeTypes = [
+                'image/jpeg',
+                'image/jpg', 
+                'image/png',
+                'image/gif',
+                'image/webp',
+                'image/bmp',
+                'image/tiff'
+            ];
+            
+            if (!supportedMimeTypes.includes(mimeType.toLowerCase())) {
+                throw new Error(`不支持的图片格式: ${mimeType}`);
+            }
+            
+            return {
+                mimeType,
+                data: base64Data
+            };
+        } catch (error) {
+            console.error('解析图片data URL错误:', error);
+            throw error;
+        }
+    }
+    
+    /**
+     * 验证base64数据是否有效
+     */
+    static validateBase64(base64String) {
+        try {
+            // 基本格式检查
+            if (!/^[A-Za-z0-9+/]*={0,2}$/.test(base64String)) {
+                return false;
+            }
+            
+            // 长度检查（base64编码长度应该是4的倍数）
+            return base64String.length % 4 === 0;
+        } catch (error) {
+            return false;
+        }
+    }
+    
+    /**
+     * 从URL下载图片并转换为base64
+     */
+    static async fetchImageAsBase64(imageUrl) {
+        try {
+            const response = await fetch(imageUrl, {
+                timeout: 30000, // 30秒超时
+                headers: {
+                    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
+                }
+            });
+            
+            if (!response.ok) {
+                throw new Error(`获取图片失败: HTTP ${response.status}`);
+            }
+            
+            const contentType = response.headers.get('content-type');
+            if (!contentType || !contentType.startsWith('image/')) {
+                throw new Error(`URL返回的不是图片类型: ${contentType}`);
+            }
+            
+            const buffer = await response.buffer();
+            const base64Data = buffer.toString('base64');
+            
+            return {
+                mimeType: contentType,
+                data: base64Data
+            };
+        } catch (error) {
+            console.error('下载图片错误:', error);
+            throw error;
+        }
+    }
+}
+
+/**
+ * 消息转换器类（增强版）
+ */
+class MessageConverter {
+    /**
+     * 将OpenAI格式的消息转换为Gemini格式（支持图片）
+     */
+    static async convertMessages(openaiMessages) {
+        const geminiMessages = [];
+        let currentRole = null;
+        let currentParts = [];
+        
+        for (const message of openaiMessages) {
+            let role = message.role;
+            let content = message.content;
+            
+            // 角色转换
+            if (role === 'system') {
+                role = 'user';
+            }
+            
+            if (role === 'assistant') {
+                role = 'model';
+            }
+            
+            // 处理内容
+            let parts = [];
+            
+            if (typeof content === 'string') {
+                // 简单文本消息
+                parts = [{ text: content }];
+            } else if (Array.isArray(content)) {
+                // 多模态消息（包含文本和图片）
+                parts = await this.convertContentArray(content);
+            } else {
+                // 其他格式，转为文本
+                parts = [{ text: String(content) }];
+            }
+            
+            // 合并相同角色的连续消息
+            if (role === currentRole) {
+                currentParts.push(...parts);
+            } else {
+                // 保存上一个角色的消息
+                if (currentRole !== null && currentParts.length > 0) {
+                    geminiMessages.push({
+                        role: currentRole,
+                        parts: currentParts
+                    });
+                }
+                
+                // 开始新角色
+                currentRole = role;
+                currentParts = [...parts];
+            }
+        }
+        
+        // 添加最后一个消息
+        if (currentRole !== null && currentParts.length > 0) {
+            geminiMessages.push({
+                role: currentRole,
+                parts: currentParts
+            });
+        }
+        
+        return geminiMessages;
+    }
+    
+    /**
+     * 转换OpenAI的content数组为Gemini的parts格式
+     */
+    static async convertContentArray(contentArray) {
+        const parts = [];
+        
+        for (const item of contentArray) {
+            try {
+                if (item.type === 'text') {
+                    // 文本内容
+                    parts.push({ text: item.text || '' });
+                } else if (item.type === 'image_url') {
+                    // 图片内容
+                    const imagePart = await this.convertImageContent(item);
+                    if (imagePart) {
+                        parts.push(imagePart);
+                    }
+                } else {
+                    // 其他类型，尝试转为文本
+                    console.warn(`未知的内容类型: ${item.type}，将转为文本处理`);
+                    parts.push({ text: JSON.stringify(item) });
+                }
+            } catch (error) {
+                console.error('转换内容项错误:', error);
+                // 出错时跳过该项，避免整个请求失败
+                continue;
+            }
+        }
+        
+        return parts;
+    }
+    
+    /**
+     * 转换图片内容为Gemini格式
+     */
+    static async convertImageContent(imageItem) {
+        try {
+            const imageUrl = imageItem.image_url?.url;
+            if (!imageUrl) {
+                throw new Error('缺少图片URL');
+            }
+            
+            let imageData;
+            
+            if (imageUrl.startsWith('data:')) {
+                // 处理base64数据URL
+                imageData = ImageProcessor.parseDataUrl(imageUrl);
+                
+                // 验证base64数据
+                if (!ImageProcessor.validateBase64(imageData.data)) {
+                    throw new Error('无效的base64图片数据');
+                }
+            } else if (imageUrl.startsWith('http://') || imageUrl.startsWith('https://')) {
+                // 处理网络图片URL
+                imageData = await ImageProcessor.fetchImageAsBase64(imageUrl);
+            } else {
+                throw new Error(`不支持的图片URL格式: ${imageUrl}`);
+            }
+            
+            // 返回Gemini格式的图片数据
+            return {
+                inlineData: {
+                    mimeType: imageData.mimeType,
+                    data: imageData.data
+                }
+            };
+        } catch (error) {
+            console.error('转换图片内容错误:', error);
+            // 返回错误信息文本，而不是抛出异常
+            return { text: `[图片处理失败: ${error.message}]` };
+        }
+    }
+    
+    /**
+     * 从OpenAI请求中提取参数
+     */
+    static extractParams(openaiRequest) {
+        return {
+            model: openaiRequest.model || 'gemini-1.5-flash',
+            messages: openaiRequest.messages || [],
+            stream: openaiRequest.stream || false,
+            temperature: openaiRequest.temperature,
+            maxTokens: openaiRequest.max_tokens,
+            topP: openaiRequest.top_p
+        };
+    }
+}
+
+/**
+ * 模型管理类
+ */
+class ModelManager {
+    constructor(config) {
+        this.config = config;
+        this.cachedModels = null;
+        this.cacheExpiry = null;
+        this.cacheTimeout = 5 * 60 * 1000; // 5分钟缓存
+    }
+    
+    /**
+     * 获取模型列表
+     */
+    async getModels() {
+        if (this.cachedModels && this.cacheExpiry && Date.now() < this.cacheExpiry) {
+            return { success: true, data: this.cachedModels };
+        }
+        
+        const apiKey = this.config.getFirstAvailableApiKey();
+        if (!apiKey) {
+            return {
+                success: false,
+                error: '没有可用的API Key',
+                status: 503
+            };
+        }
+        
+        try {
+            const response = await fetch(`https://generativelanguage.googleapis.com/v1beta/models?key=${apiKey}`, {
+                method: 'GET',
+                headers: {
+                    'Content-Type': 'application/json'
+                }
+            });
+            
+            if (!response.ok) {
+                return {
+                    success: false,
+                    error: `获取模型列表失败: ${response.status}`,
+                    status: response.status
+                };
+            }
+            
+            const geminiResponse = await response.json();
+            const filteredModels = this.filterModels(geminiResponse.models || []);
+            
+            this.cachedModels = filteredModels;
+            this.cacheExpiry = Date.now() + this.cacheTimeout;
+            
+            return { success: true, data: filteredModels };
+            
+        } catch (error) {
+            console.error('获取模型列表错误:', error);
+            return {
+                success: false,
+                error: '网络请求失败',
+                status: 500
+            };
+        }
+    }
+    
+    /**
+     * 过滤模型 - 保持原始Gemini模型名，并增加视觉模型支持
+     */
+    filterModels(models) {
+        const allowedPrefixes = [
+            'models/gemini-2.5-flash',
+            'models/gemini-2.0-flash',
+            'models/gemini-1.5-flash'
+        ];
+        
+        const excludedModels = [
+            'models/gemini-1.5-flash-8b'
+        ];
+        
+        const filteredModels = models.filter(model => {
+            const modelName = model.name;
+            
+            if (excludedModels.some(excluded => modelName.startsWith(excluded))) {
+                return false;
+            }
+            if(modelName == "models/gemini-2.5-pro"){
+                return true;
+            }
+            
+            return allowedPrefixes.some(prefix => modelName.startsWith(prefix));
+        });
+        
+        // 转换为OpenAI格式但保持Gemini模型名
+        const processedModels = filteredModels.map(model => {
+            const modelId = model.name.replace('models/', '');
+            
+            return {
+                id: modelId, // 直接使用Gemini模型名
+                object: 'model',
+                created: Math.floor(Date.now() / 1000),
+                owned_by: 'google',
+                permission: [
+                    {
+                        id: `modelperm-${modelId}`,
+                        object: 'model_permission',
+                        created: Math.floor(Date.now() / 1000),
+                        allow_create_engine: false,
+                        allow_sampling: true,
+                        allow_logprobs: false,
+                        allow_search_indices: false,
+                        allow_view: true,
+                        allow_fine_tuning: false,
+                        organization: '*',
+                        group: null,
+                        is_blocking: false
+                    }
+                ],
+                root: modelId,
+                parent: null
+            };
+        });
+        
+        return {
+            object: 'list',
+            data: processedModels
+        };
+    }
+}
+
+/**
+ * Gemini API 请求构建器类
+ */
+class GeminiRequestBuilder {
+    constructor(config) {
+        this.config = config;
+    }
+    
+    /**
+     * 构建Gemini API请求体
+     */
+    buildRequestBody(geminiMessages, params) {
+        const requestBody = {
+            contents: geminiMessages,
+            safetySettings: this.config.geminiSafety,
+            generationConfig: {}
+        };
+        
+        if (params.temperature !== undefined) {
+            requestBody.generationConfig.temperature = params.temperature;
+        }
+        
+        if (params.maxTokens !== undefined) {
+            requestBody.generationConfig.maxOutputTokens = params.maxTokens;
+        }
+        
+        if (params.topP !== undefined) {
+            requestBody.generationConfig.topP = params.topP;
+        }
+        
+        return requestBody;
+    }
+    
+    /**
+     * 构建Gemini API URL
+     */
+    buildApiUrl(model, apiKey, isStream = false) {
+        const method = isStream ? 'streamGenerateContent' : 'generateContent';
+        return `https://generativelanguage.googleapis.com/v1beta/models/${model}:${method}?key=${apiKey}`;
+    }
+}
+
+/**
+ * 响应转换器类
+ */
+class ResponseConverter {
+    /**
+     * 将Gemini流式响应块转换为OpenAI格式
+     */
+    static convertStreamChunk(geminiData, requestId, model) {
+        try {
+            if (geminiData.candidates && geminiData.candidates[0]) {
+                const candidate = geminiData.candidates[0];
+                if (candidate.content && candidate.content.parts) {
+                    const text = candidate.content.parts[0]?.text || '';
+                    const openaiChunk = {
+                        id: requestId,
+                        object: 'chat.completion.chunk',
+                        created: Math.floor(Date.now() / 1000),
+                        model: model, // 使用当前请求的模型名
+                        choices: [{
+                            index: 0,
+                            delta: { content: text },
+                            finish_reason: candidate.finishReason === 'STOP' ? 'stop' : null
+                        }]
+                    };
+                    return `data: ${JSON.stringify(openaiChunk)}\n\n`;
+                }
+            }
+            return '';
+        } catch (error) {
+            console.error('转换流响应块错误:', error);
+            return '';
+        }
+    }
+    
+    /**
+     * 将Gemini非流式响应转换为OpenAI格式
+     */
+    static convertNormalResponse(geminiResponse, requestId, model) {
+        const openaiResponse = {
+            id: requestId,
+            object: 'chat.completion',
+            created: Math.floor(Date.now() / 1000),
+            model: model, // 使用当前请求的模型名
+            choices: [],
+            usage: {
+                prompt_tokens: 0,
+                completion_tokens: 0,
+                total_tokens: 0
+            }
+        };
+        
+        if (geminiResponse.candidates && geminiResponse.candidates[0]) {
+            const candidate = geminiResponse.candidates[0];
+            if (candidate.content && candidate.content.parts) {
+                const text = candidate.content.parts.map(part => part.text).join('');
+                openaiResponse.choices.push({
+                    index: 0,
+                    message: {
+                        role: 'assistant',
+                        content: text
+                    },
+                    finish_reason: candidate.finishReason === 'STOP' ? 'stop' : 'length'
+                });
+            }
+        }
+        
+        // 尝试从usage信息中获取token使用量
+        if (geminiResponse.usageMetadata) {
+            openaiResponse.usage = {
+                prompt_tokens: geminiResponse.usageMetadata.promptTokenCount || 0,
+                completion_tokens: geminiResponse.usageMetadata.candidatesTokenCount || 0,
+                total_tokens: geminiResponse.usageMetadata.totalTokenCount || 0
+            };
+        }
+        
+        return openaiResponse;
+    }
+}
+
+/**
+ * Gemini实时流式响应解析器
+ */
+class GeminiRealtimeStreamParser {
+    constructor(response, onChunk) {
+        this.response = response;
+        this.onChunk = onChunk;
+        this.buffer = '';
+        this.bufferLv = 0;
+        this.inString = false;
+        this.escapeNext = false;
+        this.decoder = new TextDecoder();
+    }
+    
+    async start() {
+        try {
+            for await (const chunk of this.response.body) {
+                const text = this.decoder.decode(chunk, { stream: true });
+                await this.processText(text);
+            }
+            
+            await this.handleRemainingBuffer();
+        } catch (error) {
+            console.error('流式解析错误:', error);
+            throw error;
+        }
+    }
+    
+    async processText(text) {
+        for (const char of text) {
+            if (this.escapeNext) {
+                if (this.bufferLv > 1) {
+                    this.buffer += char;
+                }
+                this.escapeNext = false;
+                continue;
+            }
+            
+            if (char === '\\' && this.inString) {
+                this.escapeNext = true;
+                if (this.bufferLv > 1) {
+                    this.buffer += char;
+                }
+                continue;
+            }
+            
+            if (char === '"') {
+                this.inString = !this.inString;
+            }
+            
+            if (!this.inString) {
+                if (char === '{' || char === '[') {
+                    this.bufferLv++;
+                } else if (char === '}' || char === ']') {
+                    this.bufferLv--;
+                }
+            }
+            
+            if (this.bufferLv > 1) {
+                if (this.inString && char === '\n') {
+                    this.buffer += '\\n';
+                } else {
+                    this.buffer += char;
+                }
+            } else if (this.bufferLv === 1 && this.buffer) {
+                this.buffer += '}';
+                
+                try {
+                    const bufferJson = JSON.parse(this.buffer);
+                    await this.onChunk(bufferJson);
+                } catch (parseError) {
+                    console.error('解析Gemini流数据错误:', parseError);
+                }
+                
+                this.buffer = '';
+            }
+        }
+    }
+    
+    async handleRemainingBuffer() {
+        if (this.buffer.trim() && this.bufferLv >= 1) {
+            try {
+                if (!this.buffer.endsWith('}')) {
+                    this.buffer += '}';
+                }
+                const bufferJson = JSON.parse(this.buffer);
+                await this.onChunk(bufferJson);
+            } catch (parseError) {
+                console.error('解析最后的缓冲区数据错误:', parseError);
+            }
+        }
+    }
+}
+
+/**
+ * 认证中间件
+ */
+class AuthMiddleware {
+    constructor(config) {
+        this.config = config;
+    }
+    
+    middleware() {
+        return (req, res, next) => {
+            // 跳过健康检查和预检请求
+            if (req.path === '/health' || req.method === 'OPTIONS') {
+                return next();
+            }
+            
+            const authHeader = req.headers.authorization;
+            
+            if (!this.config.validateAuth(authHeader)) {
+                return res.status(401).json({
+                    error: {
+                        message: 'Invalid authentication credentials',
+                        type: 'invalid_request_error',
+                        code: 'invalid_api_key'
+                    }
+                });
+            }
+            
+            next();
+        };
+    }
+}
+
+/**
+ * API代理服务类
+ */
+class ApiProxyService {
+    constructor() {
+        this.config = new Config();
+        this.requestBuilder = new GeminiRequestBuilder(this.config);
+        this.modelManager = new ModelManager(this.config);
+        this.authMiddleware = new AuthMiddleware(this.config);
+    }
+    
+    /**
+     * 处理聊天API请求（支持图片）
+     */
+    async handleChatRequest(req, res) {
+        try {
+            const requestId = `chatcmpl-${uuidv4()}`;
+            
+            const params = MessageConverter.extractParams(req.body);
+            
+            // 异步转换消息（支持图片处理）
+            const geminiMessages = await MessageConverter.convertMessages(params.messages);
+            
+            if (!geminiMessages || geminiMessages.length === 0) {
+                return res.status(400).json({
+                    error: {
+                        message: '无效的消息格式或消息为空',
+                        type: 'invalid_request_error',
+                        code: 'invalid_messages'
+                    }
+                });
+            }
+            
+            const requestBody = this.requestBuilder.buildRequestBody(geminiMessages, params);
+            
+            if (params.stream) {
+                const result = await this.handleStreamRequest(requestBody, params, requestId, res);
+                if (!result.success) {
+                    res.status(result.status || 500).json({ error: result.error });
+                }
+            } else {
+                const result = await this.executeNormalRequest(requestBody, params, requestId);
+                if (result.success) {
+                    res.json(result.data);
+                } else {
+                    res.status(result.status || 500).json({ error: result.error });
+                }
+            }
+        } catch (error) {
+            console.error('处理聊天请求错误:', error);
+            res.status(500).json({
+                error: {
+                    message: '内部服务器错误: ' + error.message,
+                    type: 'internal_server_error',
+                    code: 'server_error'
+                }
+            });
+        }
+    }
+    
+    /**
+     * 处理流式请求
+     */
+    async handleStreamRequest(requestBody, params, requestId, res, retryCount = 0) {
+        const maxRetries = 3;
+        
+        const apiKey = this.config.getApiKey();
+        if (!apiKey) {
+            return { success: false, error: '目前暂无可用的API Key', status: 503 };
+        }
+        
+        try {
+            const apiUrl = this.requestBuilder.buildApiUrl(params.model, apiKey, true);
+            
+            const response = await fetch(apiUrl, {
+                method: 'POST',
+                headers: { 'Content-Type': 'application/json' },
+                body: JSON.stringify(requestBody)
+            });
+            
+            if (response.status === 403) {
+                this.config.markKeyAsInvalid(apiKey);
+                if (retryCount < maxRetries) {
+                    return await this.handleStreamRequest(requestBody, params, requestId, res, retryCount + 1);
+                }
+                return { success: false, error: 'API Key 无效', status: 403 };
+            }
+            
+            if (response.status === 429) {
+                this.config.moveToUsed(apiKey);
+                if (retryCount < maxRetries) {
+                    return await this.handleStreamRequest(requestBody, params, requestId, res, retryCount + 1);
+                }
+                return { success: false, error: '请求频率过高，请稍后重试', status: 429 };
+            }
+            
+            if (response.status === 500) {
+                this.config.moveToUsed(apiKey);
+                return { success: false, error: '目前服务器繁忙，请稍后重试', status: 500 };
+            }
+            
+            if (!response.ok) {
+                const errorText = await response.text();
+                console.error(`API请求失败: ${response.status}, 错误信息: ${errorText}`);
+                return { success: false, error: `API请求失败: ${response.status}`, status: response.status };
+            }
+            
+            res.writeHead(200, {
+                'Content-Type': 'text/event-stream',
+                'Cache-Control': 'no-cache',
+                'Connection': 'keep-alive',
+                'Access-Control-Allow-Origin': '*'
+            });
+            
+            const parser = new GeminiRealtimeStreamParser(response, async (geminiData) => {
+                const convertedChunk = ResponseConverter.convertStreamChunk(geminiData, requestId, params.model);
+                if (convertedChunk) {
+                    res.write(convertedChunk);
+                }
+            });
+            
+            await parser.start();
+            res.write('data: [DONE]\n\n');
+            res.end();
+            
+            return { success: true };
+            
+        } catch (error) {
+            console.error('执行流式请求错误:', error);
+            this.config.moveToUsed(apiKey);
+            
+            if (retryCount < maxRetries) {
+                return await this.handleStreamRequest(requestBody, params, requestId, res, retryCount + 1);
+            }
+            
+            return { success: false, error: '网络请求失败: ' + error.message, status: 500 };
+        }
+    }
+    
+    /**
+     * 处理非流式请求
+     */
+    async executeNormalRequest(requestBody, params, requestId, retryCount = 0) {
+        const maxRetries = 3;
+        
+        const apiKey = this.config.getApiKey();
+        if (!apiKey) {
+            return { success: false, error: '目前暂无可用的API Key', status: 503 };
+        }
+        
+        try {
+            const apiUrl = this.requestBuilder.buildApiUrl(params.model, apiKey, false);
+            
+            const response = await fetch(apiUrl, {
+                method: 'POST',
+                headers: { 'Content-Type': 'application/json' },
+                body: JSON.stringify(requestBody)
+            });
+            
+            if (response.status === 403) {
+                this.config.markKeyAsInvalid(apiKey);
+                if (retryCount < maxRetries) {
+                    return await this.executeNormalRequest(requestBody, params, requestId, retryCount + 1);
+                }
+                return { success: false, error: 'API Key 无效', status: 403 };
+            }
+            
+            if (response.status === 429) {
+                this.config.moveToUsed(apiKey);
+                if (retryCount < maxRetries) {
+                    return await this.executeNormalRequest(requestBody, params, requestId, retryCount + 1);
+                }
+                return { success: false, error: '请求频率过高，请稍后重试', status: 429 };
+            }
+            
+            if (response.status === 500) {
+                this.config.moveToUsed(apiKey);
+                return { success: false, error: '目前服务器繁忙，请稍后重试', status: 500 };
+            }
+            
+            if (!response.ok) {
+                const errorText = await response.text();
+                console.error(`API请求失败: ${response.status}, 错误信息: ${errorText}`);
+                return { success: false, error: `API请求失败: ${response.status}`, status: response.status };
+            }
+            
+            const geminiResponse = await response.json();
+            const openaiResponse = ResponseConverter.convertNormalResponse(geminiResponse, requestId, params.model);
+            return { success: true, data: openaiResponse };
+            
+        } catch (error) {
+            console.error('执行非流式请求错误:', error);
+            this.config.moveToUsed(apiKey);
+            
+            if (retryCount < maxRetries) {
+                return await this.executeNormalRequest(requestBody, params, requestId, retryCount + 1);
+            }
+            
+            return { success: false, error: '网络请求失败: ' + error.message, status: 500 };
+        }
+    }
+    
+    /**
+     * 处理模型列表请求
+     */
+    async handleModelsRequest(req, res) {
+        try {
+            const result = await this.modelManager.getModels();
+            
+            if (result.success) {
+                res.json(result.data);
+            } else {
+                res.status(result.status || 500).json({ error: result.error });
+            }
+        } catch (error) {
+            console.error('处理模型列表请求错误:', error);
+            res.status(500).json({ error: '内部服务器错误' });
+        }
+    }
+}
+
+/**
+ * Express 服务器
+ */
+class Server {
+    constructor() {
+        this.app = express();
+        this.apiProxy = new ApiProxyService();
+        this.setupMiddleware();
+        this.setupRoutes();
+    }
+    
+    setupMiddleware() {
+        // CORS配置
+        this.app.use(cors({
+            origin: '*',
+            credentials: true,
+            optionsSuccessStatus: 200
+        }));
+        
+        // JSON解析 - 增加大小限制以支持图片
+        this.app.use(express.json({ limit: '50mb' }));
+        this.app.use(express.urlencoded({ limit: '50mb', extended: true }));
+        
+        // 认证中间件
+        this.app.use(this.apiProxy.authMiddleware.middleware());
+        
+        // 请求日志中间件
+        this.app.use((req, res, next) => {
+            const start = Date.now();
+            res.on('finish', () => {
+                const duration = Date.now() - start;
+                console.log(`${req.method} ${req.path} - ${res.statusCode} [${duration}ms]`);
+            });
+            next();
+        });
+    }
+    
+    setupRoutes() {
+        // 聊天接口（支持图片）
+        this.app.post('/v1/chat/completions', (req, res) => {
+            this.apiProxy.handleChatRequest(req, res);
+        });
+        
+        // 模型列表接口
+        this.app.get('/v1/models', (req, res) => {
+            this.apiProxy.handleModelsRequest(req, res);
+        });
+        
+        // 健康检查接口
+        this.app.get('/health', (req, res) => {
+            res.json({ 
+                status: 'healthy',
+                timestamp: new Date().toISOString(),
+                availableKeys: this.apiProxy.config.apiKeys.length,
+                usedKeys: this.apiProxy.config.usedApiKeys.length,
+                invalidKeys: this.apiProxy.config.invalidApiKeys.length,
+                version: '2.0.0',
+                features: ['text', 'vision', 'stream', 'load_balancing']
+            });
+        });
+        
+        // 404处理
+        this.app.use('*', (req, res) => {
+            res.status(404).json({ 
+                error: {
+                    message: 'Not Found',
+                    type: 'invalid_request_error',
+                    code: 'not_found'
+                }
+            });
+        });
+        
+        // 全局错误处理
+        this.app.use((err, req, res, next) => {
+            console.error('服务器错误:', err);
+            res.status(500).json({ 
+                error: {
+                    message: '内部服务器错误',
+                    type: 'internal_server_error',
+                    code: 'server_error'
+                }
+            });
+        });
+    }
+    
+    start(port = 3000) {
+        this.app.listen(port, () => {
+            console.log(`🚀 OpenAI to Gemini Proxy Server (Enhanced) 启动在端口 ${port}`);
+            console.log(`📍 聊天API: http://localhost:${port}/v1/chat/completions`);
+            console.log(`📋 模型列表: http://localhost:${port}/v1/models`);
+            console.log(`🔍 健康检查: http://localhost:${port}/health`);
+        });
+    }
+}
+
+// 启动服务器
+const server = new Server();
+const port = process.env.PORT || 3000;
+server.start(port);

package.json

@@ -0,0 +1,17 @@
+{
+  "name": "gemini2openai",
+  "version": "1.0.0",
+  "type": "module",
+  "main": "index.js",
+  "scripts": {
+    "start": "node index.js"
+  },
+  "author": "yxmiler",
+  "dependencies": {
+    "cors": "^2.8.5",
+    "dotenv": "^16.4.7",
+    "express": "^4.21.2",
+	"uuid": "^11.0.4",
+    "node-fetch": "^3.3.2"
+  }
+}