Update index.js

index.js

@@ -1,1097 +1,1359 @@
-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;
+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();
+        
+        // 主API Key池 (可用于新请求)
+        this.apiKeys = []; // This will be filled by initializeApiKeys
+
+        // 已使用的API Key池 (成功请求后放入，用于循环使用)
+        this.usedApiKeys = [];
+        
+        // 失效的API Key池 (永久失效，不再使用)
+        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）
+     * 只负责从主池获取一个key，不负责移动到used池
+     */
+    getApiKeyForRequest() {
+        if (this.apiKeys.length === 0) {
+            if (this.usedApiKeys.length > 0) {
+                // 如果主池为空，则从已使用池回收key
+                this.apiKeys.push(...this.usedApiKeys);
+                this.usedApiKeys = [];
+                console.log('🔄 回收已使用的API Keys到主池。');
+            } else {
+                return null; // 没有可用的key
+            }
+        }
+        return this.apiKeys.shift(); // 从主池取出第一个key
+    }
+    
+    /**
+     * 获取第一个可用的API Key（用于模型列表请求等非核心请求）
+     */
+    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) {
+        // 从所有池中移除
+        this.apiKeys = this.apiKeys.filter(key => key !== apiKey);
+        this.usedApiKeys = this.usedApiKeys.filter(key => key !== apiKey);
+        
+        // 添加到失效池 (如果不在里面)
+        if (apiKey && !this.invalidApiKeys.includes(apiKey)) {
+            this.invalidApiKeys.push(apiKey);
+        }
+        
+        console.warn(`⚠️ API Key 已标记为失效: ${apiKey ? apiKey.substring(0, 10) : 'N/A'}...`);
+        console.warn(`当前可用API Keys: ${this.apiKeys.length}, 已使用: ${this.usedApiKeys.length}, 失效: ${this.invalidApiKeys.length}`);
+    }
+    
+    /**
+     * 将API Key返回到已使用池 (表示成功使用过，可以循环)
+     */
+    returnApiKeyToUsed(apiKey) {
+        if (apiKey && !this.usedApiKeys.includes(apiKey) && !this.invalidApiKeys.includes(apiKey)) {
+            this.usedApiKeys.push(apiKey);
+        }
+    }
+
+    /**
+     * 将API Key返回到主池 (例如，遇到暂时性错误如429，放回队列末尾)
+     */
+    returnApiKeyToMain(apiKey) {
+        if (apiKey && !this.apiKeys.includes(apiKey) && !this.invalidApiKeys.includes(apiKey)) {
+            this.apiKeys.push(apiKey);
+        }
+    }
+    
+    /**
+     * 验证授权头
+     */
+    validateAuth(authHeader) {
+        if (!authHeader) {
+            return false;
+        }
+        
+        const token = authHeader.replace('Bearer ', '');
+        return token === this.authToken;
+    }
+}
+
+/**
+ * 图片处理器类
+ */
+class ImageProcessor {
+    /**
+     * 从data URL中提取MIME类型和base64数据
+     */
+    static parseDataUrl(dataUrl) {
+        try {
+            // 匹配data:image/jpeg;base64,<base64data>格式
+            const match = dataUrl.match(/^data:([^;]+);base64,(.+)$/);
+            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') {
+                // Gemini doesn't have a direct 'system' role. It's usually integrated into the first 'user' turn.
+                // For simplicity, we convert 'system' to 'user'.
+                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
+                console.warn(`未知的内容格式: ${typeof content}，将转为文本处理`);
+                parts = [{ text: String(content) }];
+            }
+            
+            // 合并相同角色的连续消息以符合Gemini的单轮对话结构
+            // Gemini API expects alternating user/model turns (e.g., user, model, user, model).
+            // If OpenAI messages have consecutive 'user' or 'assistant' roles,
+            // we should merge them into a single Gemini turn.
+            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);
+                // 出错时返回错误信息文本，而不是抛出异常，避免整个请求失败
+                parts.push({ text: `[内容项处理失败: ${error.message}]` });
+            }
+        }
+        
+        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) {
+                // 如果是 403 错误，标记 key 失效
+                if (response.status === 403) {
+                     this.config.markKeyAsInvalid(apiKey);
+                }
+                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',
+            'models/gemini-1.5-pro' // 允许 Gemini 1.5 Pro 模型
+        ];
+        
+        const excludedModels = [
+            'models/gemini-1.5-flash-8b' // 排除特定的较小模型
+        ];
+        
+        const filteredModels = models.filter(model => {
+            const modelName = model.name;
+            
+            // 排除特定模型
+            if (excludedModels.some(excluded => modelName.startsWith(excluded))) {
+                return false;
+            }
+            
+            // 允许特定的完整模型名 (例如, "models/gemini-2.5-pro" 不以任何前缀开始)
+            if (modelName === "models/gemini-2.5-pro" || modelName === "models/gemini-1.5-pro") {
+                return true;
+            }
+            
+            // 允许以特定前缀开头的模型
+            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`;
+                }
+            }
+            // 处理安全设置阻断等情况
+            if (geminiData.promptFeedback?.blockReason || geminiData.candidates?.[0]?.finishReason === 'SAFETY') {
+                console.warn('Gemini stream blocked:', geminiData.promptFeedback?.blockReason || 'SAFETY');
+                const openaiChunk = {
+                    id: requestId,
+                    object: 'chat.completion.chunk',
+                    created: Math.floor(Date.now() / 1000),
+                    model: model,
+                    choices: [{
+                        index: 0,
+                        delta: { content: `[Content blocked due to: ${geminiData.promptFeedback?.blockReason || 'SAFETY'}]` },
+                        finish_reason: 'content_filter'
+                    }]
+                };
+                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' // Gemini 'STOP' is stop, others often length
+                });
+            } else if (candidate.finishReason === 'SAFETY') {
+                // 如果有内容但被安全机制阻断
+                openaiResponse.choices.push({
+                    index: 0,
+                    message: {
+                        role: 'assistant',
+                        content: `Content generation was blocked due to safety policy.`
+                    },
+                    finish_reason: 'content_filter'
+                });
+            }
+        } else if (geminiResponse.promptFeedback && geminiResponse.promptFeedback.blockReason) {
+             // Handle content moderation blocks (even before candidate generation)
+             console.warn('Gemini response blocked:', geminiResponse.promptFeedback.blockReason);
+             openaiResponse.choices.push({
+                 index: 0,
+                 message: {
+                     role: 'assistant',
+                     content: `Content generation was blocked due to: ${geminiResponse.promptFeedback.blockReason}.`
+                 },
+                 finish_reason: 'content_filter'
+             });
+        }
+        
+        // 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;
+    }
+    
+    /**
+     * 将文本内容分块为假流式响应的生成器
+     */
+    static * chunkTextForFakeStream(text, requestId, model, chunkSize = 50) {
+        if (!text) {
+            yield `data: ${JSON.stringify({
+                id: requestId,
+                object: 'chat.completion.chunk',
+                created: Math.floor(Date.now() / 1000),
+                model: model,
+                choices: [{ index: 0, delta: { content: '' }, finish_reason: 'stop' }]
+            })}\n\n`;
+            return;
+        }
+        
+        let offset = 0;
+        while (offset < text.length) {
+            const chunk = text.substring(offset, Math.min(offset + chunkSize, text.length));
+            offset += chunkSize;
+            
+            const openaiChunk = {
+                id: requestId,
+                object: 'chat.completion.chunk',
+                created: Math.floor(Date.now() / 1000),
+                model: model,
+                choices: [{
+                    index: 0,
+                    delta: { content: chunk },
+                    finish_reason: null // Not yet finished
+                }]
+            };
+            yield `data: ${JSON.stringify(openaiChunk)}\n\n`;
+        }
+        
+        // Final chunk with finish_reason
+        const finalChunk = {
+            id: requestId,
+            object: 'chat.completion.chunk',
+            created: Math.floor(Date.now() / 1000),
+            model: model,
+            choices: [{
+                index: 0,
+                delta: {}, // Delta for final chunk might be empty
+                finish_reason: 'stop' // Indicate end of stream
+            }]
+        };
+        yield `data: ${JSON.stringify(finalChunk)}\n\n`;
+    }
+}
+
+/**
+ * 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; // Tracks JSON object nesting level
+        this.inString = false;
+        this.escapeNext = false;
+        this.decoder = new TextDecoder();
+    }
+    
+    async start() {
+        try {
+            const reader = this.response.body.getReader();
+            while (true) {
+                const { done, value } = await reader.read();
+                if (done) break;
+                
+                const text = this.decoder.decode(value, { stream: true });
+                await this.processText(text);
+            }
+            
+            // Handle any remaining buffer after stream ends
+            await this.handleRemainingBuffer();
+        } catch (error) {
+            console.error('流式解析错误:', error);
+            throw error;
+        }
+    }
+    
+    async processText(text) {
+        for (const char of text) {
+            // Handle escaped characters
+            if (this.escapeNext) {
+                this.buffer += char;
+                this.escapeNext = false;
+                continue;
+            }
+            
+            // Toggle inString state
+            if (char === '"') {
+                this.inString = !this.inString;
+            } else if (char === '\\' && this.inString) {
+                // Handle escape character itself within a string
+                this.escapeNext = true;
+                this.buffer += char; // Add the backslash to buffer
+                continue;
+            }
+            
+            // Track JSON nesting level outside of strings
+            if (!this.inString) {
+                if (char === '{' || char === '[') {
+                    this.bufferLv++;
+                } else if (char === '}' || char === ']') {
+                    this.bufferLv--;
+                }
+            }
+            
+            this.buffer += char; // Always add char to buffer
+            
+            // If we are at the top level of a complete JSON object (bufferLv === 0 for a root object)
+            // For Gemini's stream format, each object typically ends with } and is a standalone chunk
+            if (!this.inString && this.bufferLv === 0 && char === '}' && this.buffer.trim() !== '') {
+                try {
+                    const bufferJson = JSON.parse(this.buffer);
+                    await this.onChunk(bufferJson);
+                } catch (parseError) {
+                    console.error('解析Gemini流数据错误:', parseError);
+                    // It's possible to get partial JSON or errors, log and clear buffer
+                }
+                this.buffer = ''; // Reset buffer after processing a complete object
+            }
+        }
+    }
+    
+    async handleRemainingBuffer() {
+        if (this.buffer.trim() !== '') {
+            try {
+                // Attempt to parse any remaining content as a full JSON object.
+                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）- 真实流式
+     */
+    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.executeRealStreamRequest(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'
+                }
+            });
+        }
+    }
+    
+    /**
+     * 新增处理假流式聊天API请求
+     * 如果客户端请求流式，则内部调用非流式 Gemini API，然后转为假流发送给客户端。
+     * 如果客户端请求非流式，则直接代理非流式请求。
+     */
+    async handleFakeStreamChatRequest(req, res) {
+        try {
+            const requestId = `chatcmpl-${uuidv4()}`;
+            
+            const params = MessageConverter.extractParams(req.body);
+            
+            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) {
+                // 客户端请求流式，但我们内部执行非流式 Gemini 请求，然后假流返回
+                const result = await this.executeFakeStreamResponse(requestBody, params, requestId, res);
+                if (!result.success) {
+                    res.status(result.status || 500).json({ error: result.error });
+                }
+            } else {
+                // 客户端请求非流式，直接执行非流式请求
+                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('处理假流式聊天请求错误:', error);
+            res.status(500).json({
+                error: {
+                    message: '内部服务器错误: ' + error.message,
+                    type: 'internal_server_error',
+                    code: 'server_error'
+                }
+            });
+        }
+    }
+    
+    /**
+     * 执行真实的流式请求
+     */
+    async executeRealStreamRequest(requestBody, params, requestId, res, retryCount = 0) {
+        const maxRetries = 3;
+        
+        let apiKey = this.config.getApiKeyForRequest();
+        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) {
+                    console.log(`真实流式请求重试 ${retryCount + 1}/${maxRetries} (403错误)。`);
+                    return await this.executeRealStreamRequest(requestBody, params, requestId, res, retryCount + 1);
+                }
+                return { success: false, error: 'API Key 无效或已失效', status: 403 };
+            }
+            
+            if (response.status === 429) {
+                this.config.returnApiKeyToMain(apiKey); // 放回主池末尾，等待冷却
+                if (retryCount < maxRetries) {
+                    console.log(`真实流式请求重试 ${retryCount + 1}/${maxRetries} (429错误)。`);
+                    return await this.executeRealStreamRequest(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 && response.status < 600) { // 5xx errors
+                this.config.returnApiKeyToMain(apiKey); // 服务器错误，放回主池
+                if (retryCount < maxRetries) {
+                    console.log(`真实流式请求重试 ${retryCount + 1}/${maxRetries} (${response.status}错误)。`);
+                    return await this.executeRealStreamRequest(requestBody, params, requestId, res, retryCount + 1);
+                }
+                return { success: false, error: '目前服务器繁忙，请稍后重试', status: response.status };
+            }
+            
+            if (!response.ok) {
+                const errorText = await response.text();
+                console.error(`API请求失败: ${response.status}, 错误信息: ${errorText}`);
+                this.config.returnApiKeyToMain(apiKey); // 其他非 2xx 错误，也放回主池
+                return { success: false, error: `API请求失败: ${response.status} - ${errorText.substring(0, 100)}`, status: response.status };
+            }
+            
+            // 如果请求成功，将 key 放入已使用池
+            this.config.returnApiKeyToUsed(apiKey);
+            
+            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.returnApiKeyToMain(apiKey); // 网络错误，放回主池
+            
+            if (retryCount < maxRetries) {
+                console.log(`真实流式请求重试 ${retryCount + 1}/${maxRetries} (网络错误)。`);
+                return await this.executeRealStreamRequest(requestBody, params, requestId, res, retryCount + 1);
+            }
+            
+            return { success: false, error: '网络请求失败: ' + error.message, status: 500 };
+        }
+    }
+    
+    /**
+     * 执行非流式请求
+     */
+    async executeNormalRequest(requestBody, params, requestId, retryCount = 0) {
+        const maxRetries = 3;
+        
+        let apiKey = this.config.getApiKeyForRequest();
+        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) {
+                    console.log(`非流式请求重试 ${retryCount + 1}/${maxRetries} (403错误)。`);
+                    return await this.executeNormalRequest(requestBody, params, requestId, retryCount + 1);
+                }
+                return { success: false, error: 'API Key 无效或已失效', status: 403 };
+            }
+            
+            if (response.status === 429) {
+                this.config.returnApiKeyToMain(apiKey);
+                if (retryCount < maxRetries) {
+                    console.log(`非流式请求重试 ${retryCount + 1}/${maxRetries} (429错误)。`);
+                    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 && response.status < 600) { // 5xx errors
+                this.config.returnApiKeyToMain(apiKey);
+                if (retryCount < maxRetries) {
+                    console.log(`非流式请求重试 ${retryCount + 1}/${maxRetries} (${response.status}错误)。`);
+                    return await this.executeNormalRequest(requestBody, params, requestId, retryCount + 1);
+                }
+                return { success: false, error: '目前服务器繁忙，请稍后重试', status: response.status };
+            }
+            
+            if (!response.ok) {
+                const errorText = await response.text();
+                console.error(`API请求失败: ${response.status}, 错误信息: ${errorText}`);
+                this.config.returnApiKeyToMain(apiKey);
+                return { success: false, error: `API请求失败: ${response.status} - ${errorText.substring(0, 100)}`, status: response.status };
+            }
+            
+            this.config.returnApiKeyToUsed(apiKey);
+            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.returnApiKeyToMain(apiKey);
+            
+            if (retryCount < maxRetries) {
+                console.log(`非流式请求重试 ${retryCount + 1}/${maxRetries} (网络错误)。`);
+                return await this.executeNormalRequest(requestBody, params, requestId, retryCount + 1);
+            }
+            
+            return { success: false, error: '网络请求失败: ' + error.message, status: 500 };
+        }
+    }
+    
+    /**
+     * 执行假流式响应 (内部调用非流式 Gemini API, 然后转换为流式响应)
+     */
+    async executeFakeStreamResponse(requestBody, params, requestId, res) {
+        let pingInterval;
+        const pingDelayMs = 1000; // 每1秒发送一次ping消息
+        
+        try {
+            res.writeHead(200, {
+                'Content-Type': 'text/event-stream',
+                'Cache-Control': 'no-cache',
+                'Connection': 'keep-alive',
+                'Access-Control-Allow-Origin': '*'
+            });
+            
+            // 开始发送ping消息
+            pingInterval = setInterval(() => {
+                const pingChunk = {
+                    id: requestId,
+                    object: 'chat.completion.chunk',
+                    created: Math.floor(Date.now() / 1000),
+                    model: params.model,
+                    choices: [{
+                        index: 0,
+                        delta: {}, // 空 delta 用于 ping
+                        finish_reason: null
+                    }]
+                };
+                // console.log('发送 ping 块...');
+                res.write(`data: ${JSON.stringify(pingChunk)}\n\n`);
+            }, pingDelayMs);
+            
+            // 执行实际的非流式请求到 Gemini
+            const result = await this.executeNormalRequest(requestBody, params, requestId);
+            
+            // 请求完成后立即清除 ping 间隔
+            clearInterval(pingInterval);
+            pingInterval = null; 
+            
+            if (result.success) {
+                const fullContent = result.data.choices[0]?.message?.content || '';
+                
+                // 将完整内容分块并以假流形式发送
+                for (const chunk of ResponseConverter.chunkTextForFakeStream(fullContent, requestId, params.model)) {
+                    res.write(chunk);
+                    // 可以添加一个小的延迟来模拟更真实的“流式”体验
+                    await new Promise(resolve => setTimeout(resolve, 50)); 
+                }
+                res.write('data: [DONE]\n\n');
+                res.end();
+                return { success: true };
+            } else {
+                // 如果非流式请求失败，发送错误块并结束流
+                res.write(`data: ${JSON.stringify({ error: result.error })}\n\n`);
+                res.write('data: [DONE]\n\n');
+                res.end();
+                return { success: false, error: result.error, status: result.status };
+            }
+            
+        } catch (error) {
+            console.error('执行假流式请求错误:', error);
+            if (pingInterval) {
+                clearInterval(pingInterval);
+            }
+            // 如果在响应发送前或发送过程中出现错误
+            res.status(500).json({
+                error: {
+                    message: '内部服务器错误: ' + error.message,
+                    type: 'internal_server_error',
+                    code: 'server_error'
+                }
+            });
+            return { success: false, error: '内部服务器错误: ' + 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，真实流式）
+        this.app.post('/v1/chat/completions', (req, res) => {
+            this.apiProxy.handleChatRequest(req, res);
+        });
+        
+        // 新增聊天接口（支持图片，假流式）
+        this.app.post('/fakestream/v1/chat/completions', (req, res) => {
+            this.apiProxy.handleFakeStreamChatRequest(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, // 可用于新请求的key
+                usedKeys: this.apiProxy.config.usedApiKeys.length,   // 成功使用过的key (待下次��环)
+                invalidKeys: this.apiProxy.config.invalidApiKeys.length, // 已失效的key
+                totalKeysConfigured: this.apiProxy.config.apiKeys.length + this.apiProxy.config.usedApiKeys.length + this.apiProxy.config.invalidApiKeys.length,
+                version: '2.1.0', // 更新版本号以反映新功能
+                features: ['text', 'vision', 'stream_real', 'stream_fake', '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 ${port}`);
+            console.log(`📍 真实流式聊天API: http://localhost:${port}/v1/chat/completions`);
+            console.log(`📍 假流式聊天API (新功能): http://localhost:${port}/v1/chat/completions/fakestream`);
+            console.log(`📋 模型列表: http://localhost:${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);