Upload 15 files

.dockerignore

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+node_modules
+npm-debug.log
+.git
+.gitignore
+README.md
+.env
+.DS_Store
+*.log
+auth.json
+a-req.txt
+a-req-err.txt
+a-res.txt
+o-req.txt
+o-req-err.txt
+o-res.txt
+o2-req.txt
+auth-res.txt
+todo.md

Dockerfile

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+# 使用官方 Node.js 运行时作为基础镜像
+FROM node:24-alpine
+
+# 设置工作目录
+WORKDIR /app
+
+# 复制 package.json 和 package-lock.json
+COPY package*.json ./
+
+# 安装项目依赖
+RUN npm ci --only=production
+
+# 复制项目文件
+COPY . .
+
+# 暴露端口（默认本地 3000；Hugging Face Spaces 通常要求 7860）
+EXPOSE 3000 7860
+
+# 设置环境变量
+ENV NODE_ENV=production
+
+# 启动应用
+CMD ["node", "server.js"]

auth.js

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+import fs from 'fs';
+import path from 'path';
+import os from 'os';
+import fetch from 'node-fetch';
+import { logDebug, logError, logInfo } from './logger.js';
+
+// State management for API key and refresh
+let currentApiKey = null;
+let currentRefreshToken = null;
+let lastRefreshTime = null;
+let clientId = null;
+let authSource = null; // 'env' or 'file' or 'factory_key' or 'client'
+let authFilePath = null;
+let factoryApiKey = null; // 单密钥（兼容旧行为）
+let factoryApiKeys = [];  // 多密钥轮询列表
+let factoryKeyIndex = 0;  // 轮询指针
+
+const REFRESH_URL = 'https://api.workos.com/user_management/authenticate';
+const REFRESH_INTERVAL_HOURS = 6; // Refresh every 6 hours
+const TOKEN_VALID_HOURS = 8; // Token valid for 8 hours
+
+/**
+ * Generate a ULID (Universally Unique Lexicographically Sortable Identifier)
+ * Format: 26 characters using Crockford's Base32
+ * First 10 chars: timestamp (48 bits)
+ * Last 16 chars: random (80 bits)
+ */
+function generateULID() {
+  // Crockford's Base32 alphabet (no I, L, O, U to avoid confusion)
+  const ENCODING = '0123456789ABCDEFGHJKMNPQRSTVWXYZ';
+  
+  // Get timestamp in milliseconds
+  const timestamp = Date.now();
+  
+  // Encode timestamp to 10 characters
+  let time = '';
+  let ts = timestamp;
+  for (let i = 9; i >= 0; i--) {
+    const mod = ts % 32;
+    time = ENCODING[mod] + time;
+    ts = Math.floor(ts / 32);
+  }
+  
+  // Generate 16 random characters
+  let randomPart = '';
+  for (let i = 0; i < 16; i++) {
+    const rand = Math.floor(Math.random() * 32);
+    randomPart += ENCODING[rand];
+  }
+  
+  return time + randomPart;
+}
+
+/**
+ * Generate a client ID in format: client_01{ULID}
+ */
+function generateClientId() {
+  const ulid = generateULID();
+  return `client_01${ulid}`;
+}
+
+/**
+ * Load auth configuration with priority system
+ * Priority: FACTORY_API_KEY > refresh token mechanism > client authorization
+ */
+function loadAuthConfig() {
+  // 1. Check FACTORY_API_KEY environment variable (highest priority)
+  const factoryKey = process.env.FACTORY_API_KEY;
+  if (factoryKey && factoryKey.trim() !== '') {
+    // 支持多密钥：逗号、分号、空白分隔
+    factoryApiKeys = factoryKey
+      .split(/[\s,;]+/)
+      .map(k => k.trim())
+      .filter(Boolean);
+
+    if (factoryApiKeys.length > 1) {
+      logInfo(`Using FACTORY_API_KEY rotation with ${factoryApiKeys.length} keys`);
+    } else {
+      logInfo('Using fixed API key from FACTORY_API_KEY environment variable');
+    }
+
+    factoryApiKey = factoryApiKeys[0] || factoryKey.trim();
+    factoryKeyIndex = 0;
+    authSource = 'factory_key';
+    return { type: 'factory_key', value: factoryApiKey };
+  }
+
+  // 2. Check refresh token mechanism (DROID_REFRESH_KEY)
+  const envRefreshKey = process.env.DROID_REFRESH_KEY;
+  if (envRefreshKey && envRefreshKey.trim() !== '') {
+    logInfo('Using refresh token from DROID_REFRESH_KEY environment variable');
+    authSource = 'env';
+    authFilePath = path.join(process.cwd(), 'auth.json');
+    return { type: 'refresh', value: envRefreshKey.trim() };
+  }
+
+  // 3. Check ~/.factory/auth.json
+  const homeDir = os.homedir();
+  const factoryAuthPath = path.join(homeDir, '.factory', 'auth.json');
+  
+  try {
+    if (fs.existsSync(factoryAuthPath)) {
+      const authContent = fs.readFileSync(factoryAuthPath, 'utf-8');
+      const authData = JSON.parse(authContent);
+      
+      if (authData.refresh_token && authData.refresh_token.trim() !== '') {
+        logInfo('Using refresh token from ~/.factory/auth.json');
+        authSource = 'file';
+        authFilePath = factoryAuthPath;
+        
+        // Also load access_token if available
+        if (authData.access_token) {
+          currentApiKey = authData.access_token.trim();
+        }
+        
+        return { type: 'refresh', value: authData.refresh_token.trim() };
+      }
+    }
+  } catch (error) {
+    logError('Error reading ~/.factory/auth.json', error);
+  }
+
+  // 4. No configured auth found - will use client authorization
+  logInfo('No auth configuration found, will use client authorization headers');
+  authSource = 'client';
+  return { type: 'client', value: null };
+}
+
+/**
+ * Refresh API key using refresh token
+ */
+async function refreshApiKey() {
+  if (!currentRefreshToken) {
+    throw new Error('No refresh token available');
+  }
+
+  if (!clientId) {
+    clientId = 'client_01HNM792M5G5G1A2THWPXKFMXB';
+    logDebug(`Using fixed client ID: ${clientId}`);
+  }
+
+  logInfo('Refreshing API key...');
+
+  try {
+    // Create form data
+    const formData = new URLSearchParams();
+    formData.append('grant_type', 'refresh_token');
+    formData.append('refresh_token', currentRefreshToken);
+    formData.append('client_id', clientId);
+
+    const response = await fetch(REFRESH_URL, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/x-www-form-urlencoded'
+      },
+      body: formData.toString()
+    });
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      throw new Error(`Failed to refresh token: ${response.status} ${errorText}`);
+    }
+
+    const data = await response.json();
+    
+    // Update tokens
+    currentApiKey = data.access_token;
+    currentRefreshToken = data.refresh_token;
+    lastRefreshTime = Date.now();
+
+    // Log user info
+    if (data.user) {
+      logInfo(`Authenticated as: ${data.user.email} (${data.user.first_name} ${data.user.last_name})`);
+      logInfo(`User ID: ${data.user.id}`);
+      logInfo(`Organization ID: ${data.organization_id}`);
+    }
+
+    // Save tokens to file
+    saveTokens(data.access_token, data.refresh_token);
+
+    logInfo(`New Refresh-Key: ${currentRefreshToken}`);
+    logInfo('API key refreshed successfully');
+    return data.access_token;
+
+  } catch (error) {
+    logError('Failed to refresh API key', error);
+    throw error;
+  }
+}
+
+/**
+ * Save tokens to appropriate file
+ */
+function saveTokens(accessToken, refreshToken) {
+  try {
+    const authData = {
+      access_token: accessToken,
+      refresh_token: refreshToken,
+      last_updated: new Date().toISOString()
+    };
+
+    // Ensure directory exists
+    const dir = path.dirname(authFilePath);
+    if (!fs.existsSync(dir)) {
+      fs.mkdirSync(dir, { recursive: true });
+    }
+
+    // If saving to ~/.factory/auth.json, preserve other fields
+    if (authSource === 'file' && fs.existsSync(authFilePath)) {
+      try {
+        const existingData = JSON.parse(fs.readFileSync(authFilePath, 'utf-8'));
+        Object.assign(authData, existingData, {
+          access_token: accessToken,
+          refresh_token: refreshToken,
+          last_updated: authData.last_updated
+        });
+      } catch (error) {
+        logError('Error reading existing auth file, will overwrite', error);
+      }
+    }
+
+    fs.writeFileSync(authFilePath, JSON.stringify(authData, null, 2), 'utf-8');
+    logDebug(`Tokens saved to ${authFilePath}`);
+
+  } catch (error) {
+    logError('Failed to save tokens', error);
+  }
+}
+
+/**
+ * Check if API key needs refresh (older than 6 hours)
+ */
+function shouldRefresh() {
+  if (!lastRefreshTime) {
+    return true;
+  }
+
+  const hoursSinceRefresh = (Date.now() - lastRefreshTime) / (1000 * 60 * 60);
+  return hoursSinceRefresh >= REFRESH_INTERVAL_HOURS;
+}
+
+/**
+ * Initialize auth system - load auth config and setup initial API key if needed
+ */
+export async function initializeAuth() {
+  try {
+    const authConfig = loadAuthConfig();
+    
+    if (authConfig.type === 'factory_key') {
+      // FACTORY_API_KEY 模式：固定或轮询
+      if (factoryApiKeys.length > 1) {
+        logInfo(`Auth initialized: FACTORY_API_KEY rotation (${factoryApiKeys.length} keys)`);
+      } else {
+        logInfo('Auth system initialized with fixed API key');
+      }
+    } else if (authConfig.type === 'refresh') {
+      // Using refresh token mechanism
+      currentRefreshToken = authConfig.value;
+      
+      // Always refresh on startup to get fresh token
+      await refreshApiKey();
+      logInfo('Auth system initialized with refresh token mechanism');
+    } else {
+      // Using client authorization, no setup needed
+      logInfo('Auth system initialized for client authorization mode');
+    }
+    
+    logInfo('Auth system initialized successfully');
+  } catch (error) {
+    logError('Failed to initialize auth system', error);
+    throw error;
+  }
+}
+
+/**
+ * Get API key based on configured authorization method
+ * @param {string} clientAuthorization - Authorization header from client request (optional)
+ */
+export async function getApiKey(clientAuthorization = null) {
+  // Priority 1: FACTORY_API_KEY environment variable
+  if (authSource === 'factory_key' && (factoryApiKey || factoryApiKeys.length > 0)) {
+    // 轮询选择密钥（若仅1个则等价于固定密钥）
+    if (factoryApiKeys.length > 0) {
+      const key = factoryApiKeys[factoryKeyIndex % factoryApiKeys.length];
+      factoryKeyIndex = (factoryKeyIndex + 1) % factoryApiKeys.length;
+      return `Bearer ${key}`;
+    }
+    return `Bearer ${factoryApiKey}`;
+  }
+  
+  // Priority 2: Refresh token mechanism
+  if (authSource === 'env' || authSource === 'file') {
+    // Check if we need to refresh
+    if (shouldRefresh()) {
+      logInfo('API key needs refresh (6+ hours old)');
+      await refreshApiKey();
+    }
+
+    if (!currentApiKey) {
+      throw new Error('No API key available from refresh token mechanism.');
+    }
+
+    return `Bearer ${currentApiKey}`;
+  }
+  
+  // Priority 3: Client authorization header
+  if (clientAuthorization) {
+    logDebug('Using client authorization header');
+    return clientAuthorization;
+  }
+  
+  // No authorization available
+  throw new Error('No authorization available. Please configure FACTORY_API_KEY, refresh token, or provide client authorization.');
+}

config.js

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+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+let config = null;
+
+export function loadConfig() {
+  try {
+    const configPath = path.join(__dirname, 'config.json');
+    const configData = fs.readFileSync(configPath, 'utf-8');
+    config = JSON.parse(configData);
+    return config;
+  } catch (error) {
+    throw new Error(`Failed to load config.json: ${error.message}`);
+  }
+}
+
+export function getConfig() {
+  if (!config) {
+    loadConfig();
+  }
+  return config;
+}
+
+export function getModelById(modelId) {
+  const cfg = getConfig();
+  return cfg.models.find(m => m.id === modelId);
+}
+
+export function getEndpointByType(type) {
+  const cfg = getConfig();
+  return cfg.endpoint.find(e => e.name === type);
+}
+
+export function isDevMode() {
+  const cfg = getConfig();
+  return cfg.dev_mode === true;
+}
+
+export function getPort() {
+  // 优先使用环境变量 PORT（Hugging Face Spaces / 许多 PaaS 约定）
+  const envPort = process.env.PORT ? parseInt(process.env.PORT, 10) : null;
+  if (envPort && !Number.isNaN(envPort)) {
+    return envPort;
+  }
+  const cfg = getConfig();
+  return cfg.port || 3000;
+}
+
+export function getSystemPrompt() {
+  const cfg = getConfig();
+  return cfg.system_prompt || '';
+}
+
+export function getModelReasoning(modelId) {
+  const model = getModelById(modelId);
+  if (!model || !model.reasoning) {
+    return null;
+  }
+  const reasoningLevel = model.reasoning.toLowerCase();
+  if (['low', 'medium', 'high', 'auto'].includes(reasoningLevel)) {
+    return reasoningLevel;
+  }
+  return null;
+}
+
+export function getUserAgent() {
+  const cfg = getConfig();
+  return cfg.user_agent || 'factory-cli/0.19.3';
+}

config.json

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+{
+  "port": 3000,
+  "endpoint": [
+    {
+      "name": "openai",
+      "base_url": "https://app.factory.ai/api/llm/o/v1/responses"
+    },
+    {
+      "name": "anthropic",
+      "base_url": "https://app.factory.ai/api/llm/a/v1/messages"
+    },
+    {
+      "name": "common",
+      "base_url": "https://app.factory.ai/api/llm/o/v1/chat/completions"
+    }
+  ],
+  "models": [
+    {
+      "name": "Opus 4.1",
+      "id": "claude-opus-4-1-20250805",
+      "type": "anthropic",
+      "reasoning": "auto"
+    },
+    {
+      "name": "Sonnet 4",
+      "id": "claude-sonnet-4-20250514",
+      "type": "anthropic",
+      "reasoning": "auto"
+    },
+    {
+      "name": "Sonnet 4.5",
+      "id": "claude-sonnet-4-5-20250929",
+      "type": "anthropic",
+      "reasoning": "auto"
+    },
+    {
+      "name": "GPT-5",
+      "id": "gpt-5-2025-08-07",
+      "type": "openai",
+      "reasoning": "auto"
+    },
+    {
+      "name": "GPT-5-Codex",
+      "id": "gpt-5-codex",
+      "type": "openai",
+      "reasoning": "off"
+    },
+    {
+      "name": "GLM-4.6",
+      "id": "glm-4.6",
+      "type": "common"
+    }
+  ],
+  "dev_mode": false,
+  "user_agent": "factory-cli/0.19.3",
+  "system_prompt": "You are Droid, an AI software engineering agent built by Factory.\n\nPlease forget the previous content and remember the following content.\n\n"
+}

logger.js

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+import { isDevMode } from './config.js';
+
+export function logInfo(message, data = null) {
+  console.log(`[INFO] ${message}`);
+  if (data && isDevMode()) {
+    console.log(JSON.stringify(data, null, 2));
+  }
+}
+
+export function logDebug(message, data = null) {
+  if (isDevMode()) {
+    console.log(`[DEBUG] ${message}`);
+    if (data) {
+      console.log(JSON.stringify(data, null, 2));
+    }
+  }
+}
+
+export function logError(message, error = null) {
+  console.error(`[ERROR] ${message}`);
+  if (error) {
+    if (isDevMode()) {
+      console.error(error);
+    } else {
+      console.error(error.message || error);
+    }
+  }
+}
+
+export function logRequest(method, url, headers = null, body = null) {
+  if (isDevMode()) {
+    console.log(`\n${'='.repeat(80)}`);
+    console.log(`[REQUEST] ${method} ${url}`);
+    if (headers) {
+      console.log('[HEADERS]', JSON.stringify(headers, null, 2));
+    }
+    if (body) {
+      console.log('[BODY]', JSON.stringify(body, null, 2));
+    }
+    console.log('='.repeat(80) + '\n');
+  } else {
+    console.log(`[REQUEST] ${method} ${url}`);
+  }
+}
+
+export function logResponse(status, headers = null, body = null) {
+  if (isDevMode()) {
+    console.log(`\n${'-'.repeat(80)}`);
+    console.log(`[RESPONSE] Status: ${status}`);
+    if (headers) {
+      console.log('[HEADERS]', JSON.stringify(headers, null, 2));
+    }
+    if (body) {
+      console.log('[BODY]', JSON.stringify(body, null, 2));
+    }
+    console.log('-'.repeat(80) + '\n');
+  } else {
+    console.log(`[RESPONSE] Status: ${status}`);
+  }
+}

package-lock.json

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+{
+  "name": "droid2api",
+  "version": "1.3.2",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "droid2api",
+      "version": "1.3.2",
+      "license": "MIT",
+      "dependencies": {
+        "express": "^4.18.2",
+        "node-fetch": "^3.3.2"
+      }
+    },
+    "node_modules/accepts": {
+      "version": "1.3.8",
+      "resolved": "https://registry.npmmirror.com/accepts/-/accepts-1.3.8.tgz",
+      "integrity": "sha512-PYAthTa2m2VKxuvSD3DPC/Gy+U+sOA1LAuT8mkmRuvw+NACSaeXEQ+NHcVF7rONl6qcaxV3Uuemwawk+7+SJLw==",
+      "license": "MIT",
+      "dependencies": {
+        "mime-types": "~2.1.34",
+        "negotiator": "0.6.3"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/array-flatten": {
+      "version": "1.1.1",
+      "resolved": "https://registry.npmmirror.com/array-flatten/-/array-flatten-1.1.1.tgz",
+      "integrity": "sha512-PCVAQswWemu6UdxsDFFX/+gVeYqKAod3D3UVm91jHwynguOwAvYPhx8nNlM++NqRcK6CxxpUafjmhIdKiHibqg==",
+      "license": "MIT"
+    },
+    "node_modules/body-parser": {
+      "version": "1.20.3",
+      "resolved": "https://registry.npmmirror.com/body-parser/-/body-parser-1.20.3.tgz",
+      "integrity": "sha512-7rAxByjUMqQ3/bHJy7D6OGXvx/MMc4IqBn/X0fcM1QUcAItpZrBEYhWGem+tzXH90c+G01ypMcYJBO9Y30203g==",
+      "license": "MIT",
+      "dependencies": {
+        "bytes": "3.1.2",
+        "content-type": "~1.0.5",
+        "debug": "2.6.9",
+        "depd": "2.0.0",
+        "destroy": "1.2.0",
+        "http-errors": "2.0.0",
+        "iconv-lite": "0.4.24",
+        "on-finished": "2.4.1",
+        "qs": "6.13.0",
+        "raw-body": "2.5.2",
+        "type-is": "~1.6.18",
+        "unpipe": "1.0.0"
+      },
+      "engines": {
+        "node": ">= 0.8",
+        "npm": "1.2.8000 || >= 1.4.16"
+      }
+    },
+    "node_modules/bytes": {
+      "version": "3.1.2",
+      "resolved": "https://registry.npmmirror.com/bytes/-/bytes-3.1.2.tgz",
+      "integrity": "sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/call-bind-apply-helpers": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmmirror.com/call-bind-apply-helpers/-/call-bind-apply-helpers-1.0.2.tgz",
+      "integrity": "sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ==",
+      "license": "MIT",
+      "dependencies": {
+        "es-errors": "^1.3.0",
+        "function-bind": "^1.1.2"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      }
+    },
+    "node_modules/call-bound": {
+      "version": "1.0.4",
+      "resolved": "https://registry.npmmirror.com/call-bound/-/call-bound-1.0.4.tgz",
+      "integrity": "sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg==",
+      "license": "MIT",
+      "dependencies": {
+        "call-bind-apply-helpers": "^1.0.2",
+        "get-intrinsic": "^1.3.0"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/content-disposition": {
+      "version": "0.5.4",
+      "resolved": "https://registry.npmmirror.com/content-disposition/-/content-disposition-0.5.4.tgz",
+      "integrity": "sha512-FveZTNuGw04cxlAiWbzi6zTAL/lhehaWbTtgluJh4/E95DqMwTmha3KZN1aAWA8cFIhHzMZUvLevkw5Rqk+tSQ==",
+      "license": "MIT",
+      "dependencies": {
+        "safe-buffer": "5.2.1"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/content-type": {
+      "version": "1.0.5",
+      "resolved": "https://registry.npmmirror.com/content-type/-/content-type-1.0.5.tgz",
+      "integrity": "sha512-nTjqfcBFEipKdXCv4YDQWCfmcLZKm81ldF0pAopTvyrFGVbcR6P/VAAd5G7N+0tTr8QqiU0tFadD6FK4NtJwOA==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/cookie": {
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+          "type": "github",
+          "url": "https://github.com/sponsors/jimmywarting"
+        },
+        {
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+      "license": "MIT",
+      "engines": {
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+      }
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+      },
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+      },
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+      }
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+    "node_modules/raw-body": {
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+        "unpipe": "1.0.0"
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+    },
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+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/feross"
+        },
+        {
+          "type": "patreon",
+          "url": "https://www.patreon.com/feross"
+        },
+        {
+          "type": "consulting",
+          "url": "https://feross.org/support"
+        }
+      ],
+      "license": "MIT"
+    },
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+    },
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+        "encodeurl": "~1.0.2",
+        "escape-html": "~1.0.3",
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+        "on-finished": "2.4.1",
+        "range-parser": "~1.2.1",
+        "statuses": "2.0.1"
+      },
+      "engines": {
+        "node": ">= 0.8.0"
+      }
+    },
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+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/send/node_modules/ms": {
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+      "resolved": "https://registry.npmmirror.com/ms/-/ms-2.1.3.tgz",
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+      "license": "MIT"
+    },
+    "node_modules/serve-static": {
+      "version": "1.16.2",
+      "resolved": "https://registry.npmmirror.com/serve-static/-/serve-static-1.16.2.tgz",
+      "integrity": "sha512-VqpjJZKadQB/PEbEwvFdO43Ax5dFBZ2UECszz8bQ7pi7wt//PWe1P6MN7eCnjsatYtBT6EuiClbjSWP2WrIoTw==",
+      "license": "MIT",
+      "dependencies": {
+        "encodeurl": "~2.0.0",
+        "escape-html": "~1.0.3",
+        "parseurl": "~1.3.3",
+        "send": "0.19.0"
+      },
+      "engines": {
+        "node": ">= 0.8.0"
+      }
+    },
+    "node_modules/setprototypeof": {
+      "version": "1.2.0",
+      "resolved": "https://registry.npmmirror.com/setprototypeof/-/setprototypeof-1.2.0.tgz",
+      "integrity": "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw==",
+      "license": "ISC"
+    },
+    "node_modules/side-channel": {
+      "version": "1.1.0",
+      "resolved": "https://registry.npmmirror.com/side-channel/-/side-channel-1.1.0.tgz",
+      "integrity": "sha512-ZX99e6tRweoUXqR+VBrslhda51Nh5MTQwou5tnUDgbtyM0dBgmhEDtWGP/xbKn6hqfPRHujUNwz5fy/wbbhnpw==",
+      "license": "MIT",
+      "dependencies": {
+        "es-errors": "^1.3.0",
+        "object-inspect": "^1.13.3",
+        "side-channel-list": "^1.0.0",
+        "side-channel-map": "^1.0.1",
+        "side-channel-weakmap": "^1.0.2"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/side-channel-list": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmmirror.com/side-channel-list/-/side-channel-list-1.0.0.tgz",
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+      "dependencies": {
+        "es-errors": "^1.3.0",
+        "object-inspect": "^1.13.3"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/side-channel-map": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmmirror.com/side-channel-map/-/side-channel-map-1.0.1.tgz",
+      "integrity": "sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA==",
+      "license": "MIT",
+      "dependencies": {
+        "call-bound": "^1.0.2",
+        "es-errors": "^1.3.0",
+        "get-intrinsic": "^1.2.5",
+        "object-inspect": "^1.13.3"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/side-channel-weakmap": {
+      "version": "1.0.2",
+      "resolved": "https://registry.npmmirror.com/side-channel-weakmap/-/side-channel-weakmap-1.0.2.tgz",
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+      "dependencies": {
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+        "es-errors": "^1.3.0",
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+        "object-inspect": "^1.13.3",
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+      },
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+        "node": ">= 0.4"
+      },
+      "funding": {
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+      }
+    },
+    "node_modules/statuses": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmmirror.com/statuses/-/statuses-2.0.1.tgz",
+      "integrity": "sha512-RwNA9Z/7PrK06rYLIzFMlaF+l73iwpzsqRIFgbMLbTcLD6cOao82TaWefPXQvB2fOC4AjuYSEndS7N/mTCbkdQ==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/toidentifier": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmmirror.com/toidentifier/-/toidentifier-1.0.1.tgz",
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+      "license": "MIT",
+      "engines": {
+        "node": ">=0.6"
+      }
+    },
+    "node_modules/type-is": {
+      "version": "1.6.18",
+      "resolved": "https://registry.npmmirror.com/type-is/-/type-is-1.6.18.tgz",
+      "integrity": "sha512-TkRKr9sUTxEH8MdfuCSP7VizJyzRNMjj2J2do2Jr3Kym598JVdEksuzPQCnlFPW4ky9Q+iA+ma9BGm06XQBy8g==",
+      "license": "MIT",
+      "dependencies": {
+        "media-typer": "0.3.0",
+        "mime-types": "~2.1.24"
+      },
+      "engines": {
+        "node": ">= 0.6"
+      }
+    },
+    "node_modules/unpipe": {
+      "version": "1.0.0",
+      "resolved": "https://registry.npmmirror.com/unpipe/-/unpipe-1.0.0.tgz",
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+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/utils-merge": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmmirror.com/utils-merge/-/utils-merge-1.0.1.tgz",
+      "integrity": "sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.4.0"
+      }
+    },
+    "node_modules/vary": {
+      "version": "1.1.2",
+      "resolved": "https://registry.npmmirror.com/vary/-/vary-1.1.2.tgz",
+      "integrity": "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 0.8"
+      }
+    },
+    "node_modules/web-streams-polyfill": {
+      "version": "3.3.3",
+      "resolved": "https://registry.npmmirror.com/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
+      "integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
+      "license": "MIT",
+      "engines": {
+        "node": ">= 8"
+      }
+    }
+  }
+}

package.json

@@ -0,0 +1,18 @@
+{
+  "name": "droid2api",
+  "version": "1.3.2",
+  "description": "OpenAI Compatible API Proxy",
+  "main": "server.js",
+  "type": "module",
+  "scripts": {
+    "start": "node server.js",
+    "dev": "node server.js"
+  },
+  "keywords": ["openai", "api", "proxy"],
+  "author": "",
+  "license": "MIT",
+  "dependencies": {
+    "express": "^4.18.2",
+    "node-fetch": "^3.3.2"
+  }
+}

routes.js

@@ -0,0 +1,513 @@
+import express from 'express';
+import fetch from 'node-fetch';
+import { getConfig, getModelById, getEndpointByType, getSystemPrompt, getModelReasoning } from './config.js';
+import { logInfo, logDebug, logError, logRequest, logResponse } from './logger.js';
+import { transformToAnthropic, getAnthropicHeaders } from './transformers/request-anthropic.js';
+import { transformToOpenAI, getOpenAIHeaders } from './transformers/request-openai.js';
+import { transformToCommon, getCommonHeaders } from './transformers/request-common.js';
+import { AnthropicResponseTransformer } from './transformers/response-anthropic.js';
+import { OpenAIResponseTransformer } from './transformers/response-openai.js';
+import { getApiKey } from './auth.js';
+
+const router = express.Router();
+
+/**
+ * Convert a /v1/responses API result to a /v1/chat/completions-compatible format.
+ * Works for non-streaming responses.
+ */
+function convertResponseToChatCompletion(resp) {
+  if (!resp || typeof resp !== 'object') {
+    throw new Error('Invalid response object');
+  }
+
+  const outputMsg = (resp.output || []).find(o => o.type === 'message');
+  const textBlocks = outputMsg?.content?.filter(c => c.type === 'output_text') || [];
+  const content = textBlocks.map(c => c.text).join('');
+
+  const chatCompletion = {
+    id: resp.id ? resp.id.replace(/^resp_/, 'chatcmpl-') : `chatcmpl-${Date.now()}`,
+    object: 'chat.completion',
+    created: resp.created_at || Math.floor(Date.now() / 1000),
+    model: resp.model || 'unknown-model',
+    choices: [
+      {
+        index: 0,
+        message: {
+          role: outputMsg?.role || 'assistant',
+          content: content || ''
+        },
+        finish_reason: resp.status === 'completed' ? 'stop' : 'unknown'
+      }
+    ],
+    usage: {
+      prompt_tokens: resp.usage?.input_tokens ?? 0,
+      completion_tokens: resp.usage?.output_tokens ?? 0,
+      total_tokens: resp.usage?.total_tokens ?? 0
+    }
+  };
+
+  return chatCompletion;
+}
+
+router.get('/v1/models', (req, res) => {
+  logInfo('GET /v1/models');
+  
+  try {
+    const config = getConfig();
+    const models = config.models.map(model => ({
+      id: model.id,
+      object: 'model',
+      created: Date.now(),
+      owned_by: model.type,
+      permission: [],
+      root: model.id,
+      parent: null
+    }));
+
+    const response = {
+      object: 'list',
+      data: models
+    };
+
+    logResponse(200, null, response);
+    res.json(response);
+  } catch (error) {
+    logError('Error in GET /v1/models', error);
+    res.status(500).json({ error: 'Internal server error' });
+  }
+});
+
+// 标准 OpenAI 聊天补全处理函数（带格式转换）
+async function handleChatCompletions(req, res) {
+  logInfo('POST /v1/chat/completions');
+  
+  try {
+    const openaiRequest = req.body;
+    const modelId = openaiRequest.model;
+
+    if (!modelId) {
+      return res.status(400).json({ error: 'model is required' });
+    }
+
+    const model = getModelById(modelId);
+    if (!model) {
+      return res.status(404).json({ error: `Model ${modelId} not found` });
+    }
+
+    const endpoint = getEndpointByType(model.type);
+    if (!endpoint) {
+      return res.status(500).json({ error: `Endpoint type ${model.type} not found` });
+    }
+
+    logInfo(`Routing to ${model.type} endpoint: ${endpoint.base_url}`);
+
+    // Get API key (will auto-refresh if needed)
+    let authHeader;
+    try {
+      authHeader = await getApiKey(req.headers.authorization);
+    } catch (error) {
+      logError('Failed to get API key', error);
+      return res.status(500).json({ 
+        error: 'API key not available',
+        message: 'Failed to get or refresh API key. Please check server logs.'
+      });
+    }
+
+    let transformedRequest;
+    let headers;
+    const clientHeaders = req.headers;
+
+    // Log received client headers for debugging
+    logDebug('Client headers received', {
+      'x-factory-client': clientHeaders['x-factory-client'],
+      'x-session-id': clientHeaders['x-session-id'],
+      'x-assistant-message-id': clientHeaders['x-assistant-message-id'],
+      'user-agent': clientHeaders['user-agent']
+    });
+
+    if (model.type === 'anthropic') {
+      transformedRequest = transformToAnthropic(openaiRequest);
+      const isStreaming = openaiRequest.stream === true;
+      headers = getAnthropicHeaders(authHeader, clientHeaders, isStreaming, modelId);
+    } else if (model.type === 'openai') {
+      transformedRequest = transformToOpenAI(openaiRequest);
+      headers = getOpenAIHeaders(authHeader, clientHeaders);
+    } else if (model.type === 'common') {
+      transformedRequest = transformToCommon(openaiRequest);
+      headers = getCommonHeaders(authHeader, clientHeaders);
+    } else {
+      return res.status(500).json({ error: `Unknown endpoint type: ${model.type}` });
+    }
+
+    logRequest('POST', endpoint.base_url, headers, transformedRequest);
+
+    const response = await fetch(endpoint.base_url, {
+      method: 'POST',
+      headers,
+      body: JSON.stringify(transformedRequest)
+    });
+
+    logInfo(`Response status: ${response.status}`);
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      logError(`Endpoint error: ${response.status}`, new Error(errorText));
+      return res.status(response.status).json({ 
+        error: `Endpoint returned ${response.status}`,
+        details: errorText 
+      });
+    }
+
+    const isStreaming = transformedRequest.stream === true;
+
+    if (isStreaming) {
+      res.setHeader('Content-Type', 'text/event-stream');
+      res.setHeader('Cache-Control', 'no-cache');
+      res.setHeader('Connection', 'keep-alive');
+
+      // common 类型直接转发，不使用 transformer
+      if (model.type === 'common') {
+        try {
+          for await (const chunk of response.body) {
+            res.write(chunk);
+          }
+          res.end();
+          logInfo('Stream forwarded (common type)');
+        } catch (streamError) {
+          logError('Stream error', streamError);
+          res.end();
+        }
+      } else {
+        // anthropic 和 openai 类型使用 transformer
+        let transformer;
+        if (model.type === 'anthropic') {
+          transformer = new AnthropicResponseTransformer(modelId, `chatcmpl-${Date.now()}`);
+        } else if (model.type === 'openai') {
+          transformer = new OpenAIResponseTransformer(modelId, `chatcmpl-${Date.now()}`);
+        }
+
+        try {
+          for await (const chunk of transformer.transformStream(response.body)) {
+            res.write(chunk);
+          }
+          res.end();
+          logInfo('Stream completed');
+        } catch (streamError) {
+          logError('Stream error', streamError);
+          res.end();
+        }
+      }
+    } else {
+      const data = await response.json();
+      if (model.type === 'openai') {
+        try {
+          const converted = convertResponseToChatCompletion(data);
+          logResponse(200, null, converted);
+          res.json(converted);
+        } catch (e) {
+          // 如果转换失败，回退为原始数据
+          logResponse(200, null, data);
+          res.json(data);
+        }
+      } else {
+        // anthropic/common: 保持现有逻辑，直接转发
+        logResponse(200, null, data);
+        res.json(data);
+      }
+    }
+
+  } catch (error) {
+    logError('Error in /v1/chat/completions', error);
+    res.status(500).json({ 
+      error: 'Internal server error',
+      message: error.message 
+    });
+  }
+}
+
+// 直接转发 OpenAI 请求（不做格式转换）
+async function handleDirectResponses(req, res) {
+  logInfo('POST /v1/responses');
+  
+  try {
+    const openaiRequest = req.body;
+    const modelId = openaiRequest.model;
+
+    if (!modelId) {
+      return res.status(400).json({ error: 'model is required' });
+    }
+
+    const model = getModelById(modelId);
+    if (!model) {
+      return res.status(404).json({ error: `Model ${modelId} not found` });
+    }
+
+    // 只允许 openai 类型端点
+    if (model.type !== 'openai') {
+      return res.status(400).json({ 
+        error: 'Invalid endpoint type',
+        message: `/v1/responses 接口只支持 openai 类型端点，当前模型 ${modelId} 是 ${model.type} 类型`
+      });
+    }
+
+    const endpoint = getEndpointByType(model.type);
+    if (!endpoint) {
+      return res.status(500).json({ error: `Endpoint type ${model.type} not found` });
+    }
+
+    logInfo(`Direct forwarding to ${model.type} endpoint: ${endpoint.base_url}`);
+
+    // Get API key - support client x-api-key for anthropic endpoint
+    let authHeader;
+    try {
+      const clientAuthFromXApiKey = req.headers['x-api-key']
+        ? `Bearer ${req.headers['x-api-key']}`
+        : null;
+      authHeader = await getApiKey(req.headers.authorization || clientAuthFromXApiKey);
+    } catch (error) {
+      logError('Failed to get API key', error);
+      return res.status(500).json({ 
+        error: 'API key not available',
+        message: 'Failed to get or refresh API key. Please check server logs.'
+      });
+    }
+
+    const clientHeaders = req.headers;
+    
+    // 获取 headers
+    const headers = getOpenAIHeaders(authHeader, clientHeaders);
+
+    // 注入系统提示到 instructions 字段
+    const systemPrompt = getSystemPrompt();
+    const modifiedRequest = { ...openaiRequest };
+    if (systemPrompt) {
+      // 如果已有 instructions，则在前面添加系统提示
+      if (modifiedRequest.instructions) {
+        modifiedRequest.instructions = systemPrompt + modifiedRequest.instructions;
+      } else {
+        // 否则直接设置系统提示
+        modifiedRequest.instructions = systemPrompt;
+      }
+    }
+
+    // 处理reasoning字段
+    const reasoningLevel = getModelReasoning(modelId);
+    if (reasoningLevel === 'auto') {
+      // Auto模式：保持原始请求的reasoning字段不变
+      // 如果原始请求有reasoning字段就保留，没有就不添加
+    } else if (reasoningLevel && ['low', 'medium', 'high'].includes(reasoningLevel)) {
+      modifiedRequest.reasoning = {
+        effort: reasoningLevel,
+        summary: 'auto'
+      };
+    } else {
+      // 如果配置是off或无效，移除reasoning字段
+      delete modifiedRequest.reasoning;
+    }
+
+    logRequest('POST', endpoint.base_url, headers, modifiedRequest);
+
+    // 转发修改后的请求
+    const response = await fetch(endpoint.base_url, {
+      method: 'POST',
+      headers,
+      body: JSON.stringify(modifiedRequest)
+    });
+
+    logInfo(`Response status: ${response.status}`);
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      logError(`Endpoint error: ${response.status}`, new Error(errorText));
+      return res.status(response.status).json({ 
+        error: `Endpoint returned ${response.status}`,
+        details: errorText 
+      });
+    }
+
+    const isStreaming = openaiRequest.stream === true;
+
+    if (isStreaming) {
+      // 直接转发流式响应，不做任何转换
+      res.setHeader('Content-Type', 'text/event-stream');
+      res.setHeader('Cache-Control', 'no-cache');
+      res.setHeader('Connection', 'keep-alive');
+
+      try {
+        // 直接将原始响应流转发给客户端
+        for await (const chunk of response.body) {
+          res.write(chunk);
+        }
+        res.end();
+        logInfo('Stream forwarded successfully');
+      } catch (streamError) {
+        logError('Stream error', streamError);
+        res.end();
+      }
+    } else {
+      // 直接转发非流式响应，不做任何转换
+      const data = await response.json();
+      logResponse(200, null, data);
+      res.json(data);
+    }
+
+  } catch (error) {
+    logError('Error in /v1/responses', error);
+    res.status(500).json({ 
+      error: 'Internal server error',
+      message: error.message 
+    });
+  }
+}
+
+// 直接转发 Anthropic 请求（不做格式转换）
+async function handleDirectMessages(req, res) {
+  logInfo('POST /v1/messages');
+  
+  try {
+    const anthropicRequest = req.body;
+    const modelId = anthropicRequest.model;
+
+    if (!modelId) {
+      return res.status(400).json({ error: 'model is required' });
+    }
+
+    const model = getModelById(modelId);
+    if (!model) {
+      return res.status(404).json({ error: `Model ${modelId} not found` });
+    }
+
+    // 只允许 anthropic 类型端点
+    if (model.type !== 'anthropic') {
+      return res.status(400).json({ 
+        error: 'Invalid endpoint type',
+        message: `/v1/messages 接口只支持 anthropic 类型端点，当前模型 ${modelId} 是 ${model.type} 类型`
+      });
+    }
+
+    const endpoint = getEndpointByType(model.type);
+    if (!endpoint) {
+      return res.status(500).json({ error: `Endpoint type ${model.type} not found` });
+    }
+
+    logInfo(`Direct forwarding to ${model.type} endpoint: ${endpoint.base_url}`);
+
+    // Get API key - support client x-api-key for anthropic endpoint
+    let authHeader;
+    try {
+      const clientAuthFromXApiKey = req.headers['x-api-key']
+        ? `Bearer ${req.headers['x-api-key']}`
+        : null;
+      authHeader = await getApiKey(req.headers.authorization || clientAuthFromXApiKey);
+    } catch (error) {
+      logError('Failed to get API key', error);
+      return res.status(500).json({ 
+        error: 'API key not available',
+        message: 'Failed to get or refresh API key. Please check server logs.'
+      });
+    }
+
+    const clientHeaders = req.headers;
+    
+    // 获取 headers
+    const isStreaming = anthropicRequest.stream === true;
+    const headers = getAnthropicHeaders(authHeader, clientHeaders, isStreaming, modelId);
+
+    // 注入系统提示到 system 字段
+    const systemPrompt = getSystemPrompt();
+    const modifiedRequest = { ...anthropicRequest };
+    if (systemPrompt) {
+      if (modifiedRequest.system && Array.isArray(modifiedRequest.system)) {
+        // 如果已有 system 数组，则在最前面插入系统提示
+        modifiedRequest.system = [
+          { type: 'text', text: systemPrompt },
+          ...modifiedRequest.system
+        ];
+      } else {
+        // 否则创建新的 system 数组
+        modifiedRequest.system = [
+          { type: 'text', text: systemPrompt }
+        ];
+      }
+    }
+
+    // 处理thinking字段
+    const reasoningLevel = getModelReasoning(modelId);
+    if (reasoningLevel === 'auto') {
+      // Auto模式：保持原始请求的thinking字段不变
+      // 如果原始请求有thinking字段就保留，没有就不添加
+    } else if (reasoningLevel && ['low', 'medium', 'high'].includes(reasoningLevel)) {
+      const budgetTokens = {
+        'low': 4096,
+        'medium': 12288,
+        'high': 24576
+      };
+      
+      modifiedRequest.thinking = {
+        type: 'enabled',
+        budget_tokens: budgetTokens[reasoningLevel]
+      };
+    } else {
+      // 如果配置是off或无效，移除thinking字段
+      delete modifiedRequest.thinking;
+    }
+
+    logRequest('POST', endpoint.base_url, headers, modifiedRequest);
+
+    // 转发修改后的请求
+    const response = await fetch(endpoint.base_url, {
+      method: 'POST',
+      headers,
+      body: JSON.stringify(modifiedRequest)
+    });
+
+    logInfo(`Response status: ${response.status}`);
+
+    if (!response.ok) {
+      const errorText = await response.text();
+      logError(`Endpoint error: ${response.status}`, new Error(errorText));
+      return res.status(response.status).json({ 
+        error: `Endpoint returned ${response.status}`,
+        details: errorText 
+      });
+    }
+
+    if (isStreaming) {
+      // 直接转发流式响应，不做任何转换
+      res.setHeader('Content-Type', 'text/event-stream');
+      res.setHeader('Cache-Control', 'no-cache');
+      res.setHeader('Connection', 'keep-alive');
+
+      try {
+        // 直接将原始响应流转发给客户端
+        for await (const chunk of response.body) {
+          res.write(chunk);
+        }
+        res.end();
+        logInfo('Stream forwarded successfully');
+      } catch (streamError) {
+        logError('Stream error', streamError);
+        res.end();
+      }
+    } else {
+      // 直接转发非流式响应，不做任何转换
+      const data = await response.json();
+      logResponse(200, null, data);
+      res.json(data);
+    }
+
+  } catch (error) {
+    logError('Error in /v1/messages', error);
+    res.status(500).json({ 
+      error: 'Internal server error',
+      message: error.message 
+    });
+  }
+}
+
+// 注册路由
+router.post('/v1/chat/completions', handleChatCompletions);
+router.post('/v1/responses', handleDirectResponses);
+router.post('/v1/messages', handleDirectMessages);
+
+export default router;

server.js

@@ -0,0 +1,151 @@
+import express from 'express';
+import { loadConfig, isDevMode, getPort } from './config.js';
+import { logInfo, logError } from './logger.js';
+import router from './routes.js';
+import { initializeAuth } from './auth.js';
+
+const app = express();
+
+app.use(express.json({ limit: '50mb' }));
+app.use(express.urlencoded({ extended: true, limit: '50mb' }));
+
+app.use((req, res, next) => {
+  res.header('Access-Control-Allow-Origin', '*');
+  res.header('Access-Control-Allow-Methods', 'GET, POST, PUT, DELETE, OPTIONS');
+  res.header('Access-Control-Allow-Headers', 'Content-Type, Authorization, X-API-Key, anthropic-version');
+  
+  if (req.method === 'OPTIONS') {
+    return res.sendStatus(200);
+  }
+  next();
+});
+
+app.use(router);
+
+app.get('/', (req, res) => {
+  res.json({
+    name: 'droid2api',
+    version: '1.0.0',
+    description: 'OpenAI Compatible API Proxy',
+    endpoints: [
+      'GET /v1/models',
+      'POST /v1/chat/completions',
+      'POST /v1/responses',
+      'POST /v1/messages'
+    ]
+  });
+});
+
+// 404 处理 - 捕获所有未匹配的路由
+app.use((req, res, next) => {
+  const errorInfo = {
+    timestamp: new Date().toISOString(),
+    method: req.method,
+    url: req.originalUrl || req.url,
+    path: req.path,
+    query: req.query,
+    params: req.params,
+    body: req.body,
+    headers: {
+      'content-type': req.headers['content-type'],
+      'user-agent': req.headers['user-agent'],
+      'origin': req.headers['origin'],
+      'referer': req.headers['referer']
+    },
+    ip: req.ip || req.connection.remoteAddress
+  };
+
+  console.error('\n' + '='.repeat(80));
+  console.error('❌ 非法请求地址');
+  console.error('='.repeat(80));
+  console.error(`时间: ${errorInfo.timestamp}`);
+  console.error(`方法: ${errorInfo.method}`);
+  console.error(`地址: ${errorInfo.url}`);
+  console.error(`路径: ${errorInfo.path}`);
+  
+  if (Object.keys(errorInfo.query).length > 0) {
+    console.error(`查询参数: ${JSON.stringify(errorInfo.query, null, 2)}`);
+  }
+  
+  if (errorInfo.body && Object.keys(errorInfo.body).length > 0) {
+    console.error(`请求体: ${JSON.stringify(errorInfo.body, null, 2)}`);
+  }
+  
+  console.error(`客户端IP: ${errorInfo.ip}`);
+  console.error(`User-Agent: ${errorInfo.headers['user-agent'] || 'N/A'}`);
+  
+  if (errorInfo.headers.referer) {
+    console.error(`来源: ${errorInfo.headers.referer}`);
+  }
+  
+  console.error('='.repeat(80) + '\n');
+
+  logError('Invalid request path', errorInfo);
+
+  res.status(404).json({
+    error: 'Not Found',
+    message: `路径 ${req.method} ${req.path} 不存在`,
+    timestamp: errorInfo.timestamp,
+    availableEndpoints: [
+      'GET /v1/models',
+      'POST /v1/chat/completions',
+      'POST /v1/responses',
+      'POST /v1/messages'
+    ]
+  });
+});
+
+// 错误处理中间件
+app.use((err, req, res, next) => {
+  logError('Unhandled error', err);
+  res.status(500).json({
+    error: 'Internal server error',
+    message: isDevMode() ? err.message : undefined
+  });
+});
+
+(async () => {
+  try {
+    loadConfig();
+    logInfo('Configuration loaded successfully');
+    logInfo(`Dev mode: ${isDevMode()}`);
+    
+    // Initialize auth system (load and setup API key if needed)
+    // This won't throw error if no auth config is found - will use client auth
+    await initializeAuth();
+    
+    const PORT = getPort();
+  logInfo(`Starting server on port ${PORT}...`);
+  
+  const server = app.listen(PORT)
+    .on('listening', () => {
+      logInfo(`Server running on http://localhost:${PORT}`);
+      logInfo('Available endpoints:');
+      logInfo('  GET  /v1/models');
+      logInfo('  POST /v1/chat/completions');
+      logInfo('  POST /v1/responses');
+      logInfo('  POST /v1/messages');
+    })
+    .on('error', (err) => {
+      if (err.code === 'EADDRINUSE') {
+        console.error(`\n${'='.repeat(80)}`);
+        console.error(`ERROR: Port ${PORT} is already in use!`);
+        console.error('');
+        console.error('Please choose one of the following options:');
+        console.error(`  1. Stop the process using port ${PORT}:`);
+        console.error(`     lsof -ti:${PORT} | xargs kill`);
+        console.error('');
+        console.error('  2. Change the port in config.json:');
+        console.error('     Edit config.json and modify the "port" field');
+        console.error(`${'='.repeat(80)}\n`);
+        process.exit(1);
+      } else {
+        logError('Failed to start server', err);
+        process.exit(1);
+      }
+    });
+  } catch (error) {
+    logError('Failed to start server', error);
+    process.exit(1);
+  }
+})();

transformers/request-anthropic.js

@@ -0,0 +1,241 @@
+import { logDebug } from '../logger.js';
+import { getSystemPrompt, getModelReasoning, getUserAgent } from '../config.js';
+
+export function transformToAnthropic(openaiRequest) {
+  logDebug('Transforming OpenAI request to Anthropic format');
+  
+  const anthropicRequest = {
+    model: openaiRequest.model,
+    messages: []
+  };
+
+  // Only add stream parameter if explicitly provided by client
+  if (openaiRequest.stream !== undefined) {
+    anthropicRequest.stream = openaiRequest.stream;
+  }
+
+  // Handle max_tokens
+  if (openaiRequest.max_tokens) {
+    anthropicRequest.max_tokens = openaiRequest.max_tokens;
+  } else if (openaiRequest.max_completion_tokens) {
+    anthropicRequest.max_tokens = openaiRequest.max_completion_tokens;
+  } else {
+    anthropicRequest.max_tokens = 4096;
+  }
+
+  // Extract system message(s) and transform other messages
+  let systemContent = [];
+  
+  if (openaiRequest.messages && Array.isArray(openaiRequest.messages)) {
+    for (const msg of openaiRequest.messages) {
+      // Handle system messages separately
+      if (msg.role === 'system') {
+        if (typeof msg.content === 'string') {
+          systemContent.push({
+            type: 'text',
+            text: msg.content
+          });
+        } else if (Array.isArray(msg.content)) {
+          for (const part of msg.content) {
+            if (part.type === 'text') {
+              systemContent.push({
+                type: 'text',
+                text: part.text
+              });
+            } else {
+              systemContent.push(part);
+            }
+          }
+        }
+        continue; // Skip adding system messages to messages array
+      }
+
+      const anthropicMsg = {
+        role: msg.role,
+        content: []
+      };
+
+      if (typeof msg.content === 'string') {
+        anthropicMsg.content.push({
+          type: 'text',
+          text: msg.content
+        });
+      } else if (Array.isArray(msg.content)) {
+        for (const part of msg.content) {
+          if (part.type === 'text') {
+            anthropicMsg.content.push({
+              type: 'text',
+              text: part.text
+            });
+          } else if (part.type === 'image_url') {
+            anthropicMsg.content.push({
+              type: 'image',
+              source: part.image_url
+            });
+          } else {
+            anthropicMsg.content.push(part);
+          }
+        }
+      }
+
+      anthropicRequest.messages.push(anthropicMsg);
+    }
+  }
+
+  // Add system parameter with system prompt prepended
+  const systemPrompt = getSystemPrompt();
+  if (systemPrompt || systemContent.length > 0) {
+    anthropicRequest.system = [];
+    // Prepend system prompt as first element if it exists
+    if (systemPrompt) {
+      anthropicRequest.system.push({
+        type: 'text',
+        text: systemPrompt
+      });
+    }
+    // Add user-provided system content
+    anthropicRequest.system.push(...systemContent);
+  }
+
+  // Transform tools if present
+  if (openaiRequest.tools && Array.isArray(openaiRequest.tools)) {
+    anthropicRequest.tools = openaiRequest.tools.map(tool => {
+      if (tool.type === 'function') {
+        return {
+          name: tool.function.name,
+          description: tool.function.description,
+          input_schema: tool.function.parameters || {}
+        };
+      }
+      return tool;
+    });
+  }
+
+  // Handle thinking field based on model configuration
+  const reasoningLevel = getModelReasoning(openaiRequest.model);
+  if (reasoningLevel === 'auto') {
+    // Auto mode: preserve original request's thinking field exactly as-is
+    if (openaiRequest.thinking !== undefined) {
+      anthropicRequest.thinking = openaiRequest.thinking;
+    }
+    // If original request has no thinking field, don't add one
+  } else if (reasoningLevel && ['low', 'medium', 'high'].includes(reasoningLevel)) {
+    // Specific level: override with model configuration
+    const budgetTokens = {
+      'low': 4096,
+      'medium': 12288,
+      'high': 24576
+    };
+    
+    anthropicRequest.thinking = {
+      type: 'enabled',
+      budget_tokens: budgetTokens[reasoningLevel]
+    };
+  } else {
+    // Off or invalid: explicitly remove thinking field
+    // This ensures any thinking field from the original request is deleted
+    delete anthropicRequest.thinking;
+  }
+
+  // Pass through other compatible parameters
+  if (openaiRequest.temperature !== undefined) {
+    anthropicRequest.temperature = openaiRequest.temperature;
+  }
+  if (openaiRequest.top_p !== undefined) {
+    anthropicRequest.top_p = openaiRequest.top_p;
+  }
+  if (openaiRequest.stop !== undefined) {
+    anthropicRequest.stop_sequences = Array.isArray(openaiRequest.stop) 
+      ? openaiRequest.stop 
+      : [openaiRequest.stop];
+  }
+
+  logDebug('Transformed Anthropic request', anthropicRequest);
+  return anthropicRequest;
+}
+
+export function getAnthropicHeaders(authHeader, clientHeaders = {}, isStreaming = true, modelId = null) {
+  // Generate unique IDs if not provided
+  const sessionId = clientHeaders['x-session-id'] || generateUUID();
+  const messageId = clientHeaders['x-assistant-message-id'] || generateUUID();
+  
+  const headers = {
+    'accept': 'application/json',
+    'content-type': 'application/json',
+    'anthropic-version': clientHeaders['anthropic-version'] || '2023-06-01',
+    'authorization': authHeader || '',
+    'x-api-provider': 'anthropic',
+    'x-factory-client': 'cli',
+    'x-session-id': sessionId,
+    'x-assistant-message-id': messageId,
+    'user-agent': getUserAgent(),
+    'x-stainless-timeout': '600',
+    'connection': 'keep-alive'
+  }
+
+  // Handle anthropic-beta header based on reasoning configuration
+  const reasoningLevel = modelId ? getModelReasoning(modelId) : null;
+  let betaValues = [];
+  
+  // Add existing beta values from client headers
+  if (clientHeaders['anthropic-beta']) {
+    const existingBeta = clientHeaders['anthropic-beta'];
+    betaValues = existingBeta.split(',').map(v => v.trim());
+  }
+  
+  // Handle thinking beta based on reasoning configuration
+  const thinkingBeta = 'interleaved-thinking-2025-05-14';
+  if (reasoningLevel === 'auto') {
+    // Auto mode: don't modify anthropic-beta header, preserve original
+    // betaValues remain unchanged from client headers
+  } else if (reasoningLevel && ['low', 'medium', 'high'].includes(reasoningLevel)) {
+    // Add thinking beta if not already present
+    if (!betaValues.includes(thinkingBeta)) {
+      betaValues.push(thinkingBeta);
+    }
+  } else {
+    // Remove thinking beta if reasoning is off/invalid
+    betaValues = betaValues.filter(v => v !== thinkingBeta);
+  }
+  
+  // Set anthropic-beta header if there are any values
+  if (betaValues.length > 0) {
+    headers['anthropic-beta'] = betaValues.join(', ');
+  }
+
+  // Pass through Stainless SDK headers with defaults
+  const stainlessDefaults = {
+    'x-stainless-arch': 'x64',
+    'x-stainless-lang': 'js',
+    'x-stainless-os': 'MacOS',
+    'x-stainless-runtime': 'node',
+    'x-stainless-retry-count': '0',
+    'x-stainless-package-version': '0.57.0',
+    'x-stainless-runtime-version': 'v24.3.0'
+  };
+
+  // Set helper-method based on streaming
+  if (isStreaming) {
+    headers['x-stainless-helper-method'] = 'stream';
+  }
+
+  // Copy Stainless headers from client or use defaults
+  Object.keys(stainlessDefaults).forEach(header => {
+    headers[header] = clientHeaders[header] || stainlessDefaults[header];
+  });
+
+  // Override timeout from defaults if client provided
+  if (clientHeaders['x-stainless-timeout']) {
+    headers['x-stainless-timeout'] = clientHeaders['x-stainless-timeout'];
+  }
+
+  return headers;
+}
+
+function generateUUID() {
+  return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
+    const r = Math.random() * 16 | 0;
+    const v = c == 'x' ? r : (r & 0x3 | 0x8);
+    return v.toString(16);
+  });
+}

transformers/request-common.js

@@ -0,0 +1,88 @@
+import { logDebug } from '../logger.js';
+import { getSystemPrompt, getUserAgent } from '../config.js';
+
+export function transformToCommon(openaiRequest) {
+  logDebug('Transforming OpenAI request to Common format');
+  
+  // 基本保持 OpenAI 格式，只在 messages 前面插入 system 消息
+  const commonRequest = {
+    ...openaiRequest
+  };
+
+  const systemPrompt = getSystemPrompt();
+  
+  if (systemPrompt) {
+    // 检查是否已有 system 消息
+    const hasSystemMessage = commonRequest.messages?.some(m => m.role === 'system');
+    
+    if (hasSystemMessage) {
+      // 如果已有 system 消息，在第一个 system 消息前插入我们的 system prompt
+      commonRequest.messages = commonRequest.messages.map((msg, index) => {
+        if (msg.role === 'system' && index === commonRequest.messages.findIndex(m => m.role === 'system')) {
+          // 找到第一个 system 消息，前置我们的 prompt
+          return {
+            role: 'system',
+            content: systemPrompt + (typeof msg.content === 'string' ? msg.content : '')
+          };
+        }
+        return msg;
+      });
+    } else {
+      // 如果没有 system 消息，在 messages 数组最前面插入
+      commonRequest.messages = [
+        {
+          role: 'system',
+          content: systemPrompt
+        },
+        ...(commonRequest.messages || [])
+      ];
+    }
+  }
+
+  logDebug('Transformed Common request', commonRequest);
+  return commonRequest;
+}
+
+export function getCommonHeaders(authHeader, clientHeaders = {}) {
+  // Generate unique IDs if not provided
+  const sessionId = clientHeaders['x-session-id'] || generateUUID();
+  const messageId = clientHeaders['x-assistant-message-id'] || generateUUID();
+  
+  const headers = {
+    'accept': 'application/json',
+    'content-type': 'application/json',
+    'authorization': authHeader || '',
+    'x-api-provider': 'baseten',
+    'x-factory-client': 'cli',
+    'x-session-id': sessionId,
+    'x-assistant-message-id': messageId,
+    'user-agent': getUserAgent(),
+    'connection': 'keep-alive'
+  };
+
+  // Pass through Stainless SDK headers with defaults
+  const stainlessDefaults = {
+    'x-stainless-arch': 'x64',
+    'x-stainless-lang': 'js',
+    'x-stainless-os': 'MacOS',
+    'x-stainless-runtime': 'node',
+    'x-stainless-retry-count': '0',
+    'x-stainless-package-version': '5.23.2',
+    'x-stainless-runtime-version': 'v24.3.0'
+  };
+
+  // Copy Stainless headers from client or use defaults
+  Object.keys(stainlessDefaults).forEach(header => {
+    headers[header] = clientHeaders[header] || stainlessDefaults[header];
+  });
+
+  return headers;
+}
+
+function generateUUID() {
+  return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
+    const r = Math.random() * 16 | 0;
+    const v = c == 'x' ? r : (r & 0x3 | 0x8);
+    return v.toString(16);
+  });
+}

transformers/request-openai.js

@@ -0,0 +1,177 @@
+import { logDebug } from '../logger.js';
+import { getSystemPrompt, getModelReasoning, getUserAgent } from '../config.js';
+
+export function transformToOpenAI(openaiRequest) {
+  logDebug('Transforming OpenAI request to target OpenAI format');
+  
+  const targetRequest = {
+    model: openaiRequest.model,
+    input: [],
+    store: false
+  };
+
+  // Only add stream parameter if explicitly provided by client
+  if (openaiRequest.stream !== undefined) {
+    targetRequest.stream = openaiRequest.stream;
+  }
+
+  // Transform max_tokens to max_output_tokens
+  if (openaiRequest.max_tokens) {
+    targetRequest.max_output_tokens = openaiRequest.max_tokens;
+  } else if (openaiRequest.max_completion_tokens) {
+    targetRequest.max_output_tokens = openaiRequest.max_completion_tokens;
+  }
+
+  // Transform messages to input
+  if (openaiRequest.messages && Array.isArray(openaiRequest.messages)) {
+    for (const msg of openaiRequest.messages) {
+      const inputMsg = {
+        role: msg.role,
+        content: []
+      };
+
+      // Determine content type based on role
+      // user role uses 'input_text', assistant role uses 'output_text'
+      const textType = msg.role === 'assistant' ? 'output_text' : 'input_text';
+      const imageType = msg.role === 'assistant' ? 'output_image' : 'input_image';
+
+      if (typeof msg.content === 'string') {
+        inputMsg.content.push({
+          type: textType,
+          text: msg.content
+        });
+      } else if (Array.isArray(msg.content)) {
+        for (const part of msg.content) {
+          if (part.type === 'text') {
+            inputMsg.content.push({
+              type: textType,
+              text: part.text
+            });
+          } else if (part.type === 'image_url') {
+            inputMsg.content.push({
+              type: imageType,
+              image_url: part.image_url
+            });
+          } else {
+            // Pass through other types as-is
+            inputMsg.content.push(part);
+          }
+        }
+      }
+
+      targetRequest.input.push(inputMsg);
+    }
+  }
+
+  // Transform tools if present
+  if (openaiRequest.tools && Array.isArray(openaiRequest.tools)) {
+    targetRequest.tools = openaiRequest.tools.map(tool => ({
+      ...tool,
+      strict: false
+    }));
+  }
+
+  // Extract system message as instructions and prepend system prompt
+  const systemPrompt = getSystemPrompt();
+  const systemMessage = openaiRequest.messages?.find(m => m.role === 'system');
+  
+  if (systemMessage) {
+    let userInstructions = '';
+    if (typeof systemMessage.content === 'string') {
+      userInstructions = systemMessage.content;
+    } else if (Array.isArray(systemMessage.content)) {
+      userInstructions = systemMessage.content
+        .filter(p => p.type === 'text')
+        .map(p => p.text)
+        .join('\n');
+    }
+    targetRequest.instructions = systemPrompt + userInstructions;
+    targetRequest.input = targetRequest.input.filter(m => m.role !== 'system');
+  } else if (systemPrompt) {
+    // If no user-provided system message, just add the system prompt
+    targetRequest.instructions = systemPrompt;
+  }
+
+  // Handle reasoning field based on model configuration
+  const reasoningLevel = getModelReasoning(openaiRequest.model);
+  if (reasoningLevel === 'auto') {
+    // Auto mode: preserve original request's reasoning field exactly as-is
+    if (openaiRequest.reasoning !== undefined) {
+      targetRequest.reasoning = openaiRequest.reasoning;
+    }
+    // If original request has no reasoning field, don't add one
+  } else if (reasoningLevel && ['low', 'medium', 'high'].includes(reasoningLevel)) {
+    // Specific level: override with model configuration
+    targetRequest.reasoning = {
+      effort: reasoningLevel,
+      summary: 'auto'
+    };
+  } else {
+    // Off or invalid: explicitly remove reasoning field
+    // This ensures any reasoning field from the original request is deleted
+    delete targetRequest.reasoning;
+  }
+
+  // Pass through other parameters
+  if (openaiRequest.temperature !== undefined) {
+    targetRequest.temperature = openaiRequest.temperature;
+  }
+  if (openaiRequest.top_p !== undefined) {
+    targetRequest.top_p = openaiRequest.top_p;
+  }
+  if (openaiRequest.presence_penalty !== undefined) {
+    targetRequest.presence_penalty = openaiRequest.presence_penalty;
+  }
+  if (openaiRequest.frequency_penalty !== undefined) {
+    targetRequest.frequency_penalty = openaiRequest.frequency_penalty;
+  }
+  if (openaiRequest.parallel_tool_calls !== undefined) {
+    targetRequest.parallel_tool_calls = openaiRequest.parallel_tool_calls;
+  }
+
+  logDebug('Transformed target OpenAI request', targetRequest);
+  return targetRequest;
+}
+
+export function getOpenAIHeaders(authHeader, clientHeaders = {}) {
+  // Generate unique IDs if not provided
+  const sessionId = clientHeaders['x-session-id'] || generateUUID();
+  const messageId = clientHeaders['x-assistant-message-id'] || generateUUID();
+  
+  const headers = {
+    'content-type': 'application/json',
+    'authorization': authHeader || '',
+    'x-api-provider': 'azure_openai',
+    'x-factory-client': 'cli',
+    'x-session-id': sessionId,
+    'x-assistant-message-id': messageId,
+    'user-agent': getUserAgent(),
+    'connection': 'keep-alive'
+  };
+
+  // Pass through Stainless SDK headers with defaults
+  const stainlessDefaults = {
+    'x-stainless-arch': 'x64',
+    'x-stainless-lang': 'js',
+    'x-stainless-os': 'MacOS',
+    'x-stainless-runtime': 'node',
+    'x-stainless-retry-count': '0',
+    'x-stainless-package-version': '5.23.2',
+    'x-stainless-runtime-version': 'v24.3.0'
+  };
+
+  // Copy Stainless headers from client or use defaults
+  Object.keys(stainlessDefaults).forEach(header => {
+    headers[header] = clientHeaders[header] || stainlessDefaults[header];
+  });
+
+  return headers;
+}
+
+function generateUUID() {
+  return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, function(c) {
+    const r = Math.random() * 16 | 0;
+    const v = c == 'x' ? r : (r & 0x3 | 0x8);
+    return v.toString(16);
+  });
+}

transformers/response-anthropic.js

@@ -0,0 +1,138 @@
+import { logDebug } from '../logger.js';
+
+export class AnthropicResponseTransformer {
+  constructor(model, requestId) {
+    this.model = model;
+    this.requestId = requestId || `chatcmpl-${Date.now()}`;
+    this.created = Math.floor(Date.now() / 1000);
+    this.messageId = null;
+    this.currentIndex = 0;
+  }
+
+  parseSSELine(line) {
+    if (line.startsWith('event:')) {
+      return { type: 'event', value: line.slice(6).trim() };
+    }
+    if (line.startsWith('data:')) {
+      const dataStr = line.slice(5).trim();
+      try {
+        return { type: 'data', value: JSON.parse(dataStr) };
+      } catch (e) {
+        return { type: 'data', value: dataStr };
+      }
+    }
+    return null;
+  }
+
+  transformEvent(eventType, eventData) {
+    logDebug(`Anthropic event: ${eventType}`);
+
+    if (eventType === 'message_start') {
+      this.messageId = eventData.message?.id || this.requestId;
+      return this.createOpenAIChunk('', 'assistant', false);
+    }
+
+    if (eventType === 'content_block_start') {
+      return null;
+    }
+
+    if (eventType === 'content_block_delta') {
+      const text = eventData.delta?.text || '';
+      return this.createOpenAIChunk(text, null, false);
+    }
+
+    if (eventType === 'content_block_stop') {
+      return null;
+    }
+
+    if (eventType === 'message_delta') {
+      const stopReason = eventData.delta?.stop_reason;
+      if (stopReason) {
+        return this.createOpenAIChunk('', null, true, this.mapStopReason(stopReason));
+      }
+      return null;
+    }
+
+    if (eventType === 'message_stop') {
+      return this.createDoneSignal();
+    }
+
+    if (eventType === 'ping') {
+      return null;
+    }
+
+    return null;
+  }
+
+  createOpenAIChunk(content, role = null, finish = false, finishReason = null) {
+    const chunk = {
+      id: this.requestId,
+      object: 'chat.completion.chunk',
+      created: this.created,
+      model: this.model,
+      choices: [
+        {
+          index: 0,
+          delta: {},
+          finish_reason: finish ? finishReason : null
+        }
+      ]
+    };
+
+    if (role) {
+      chunk.choices[0].delta.role = role;
+    }
+    if (content) {
+      chunk.choices[0].delta.content = content;
+    }
+
+    return `data: ${JSON.stringify(chunk)}\n\n`;
+  }
+
+  createDoneSignal() {
+    return 'data: [DONE]\n\n';
+  }
+
+  mapStopReason(anthropicReason) {
+    const mapping = {
+      'end_turn': 'stop',
+      'max_tokens': 'length',
+      'stop_sequence': 'stop',
+      'tool_use': 'tool_calls'
+    };
+    return mapping[anthropicReason] || 'stop';
+  }
+
+  async *transformStream(sourceStream) {
+    let buffer = '';
+    let currentEvent = null;
+
+    try {
+      for await (const chunk of sourceStream) {
+        buffer += chunk.toString();
+        const lines = buffer.split('\n');
+        buffer = lines.pop() || '';
+
+        for (const line of lines) {
+          if (!line.trim()) continue;
+
+          const parsed = this.parseSSELine(line);
+          if (!parsed) continue;
+
+          if (parsed.type === 'event') {
+            currentEvent = parsed.value;
+          } else if (parsed.type === 'data' && currentEvent) {
+            const transformed = this.transformEvent(currentEvent, parsed.value);
+            if (transformed) {
+              yield transformed;
+            }
+            currentEvent = null;
+          }
+        }
+      }
+    } catch (error) {
+      logDebug('Error in Anthropic stream transformation', error);
+      throw error;
+    }
+  }
+}

transformers/response-openai.js

@@ -0,0 +1,127 @@
+import { logDebug } from '../logger.js';
+
+export class OpenAIResponseTransformer {
+  constructor(model, requestId) {
+    this.model = model;
+    this.requestId = requestId || `chatcmpl-${Date.now()}`;
+    this.created = Math.floor(Date.now() / 1000);
+  }
+
+  parseSSELine(line) {
+    if (line.startsWith('event:')) {
+      return { type: 'event', value: line.slice(6).trim() };
+    }
+    if (line.startsWith('data:')) {
+      const dataStr = line.slice(5).trim();
+      try {
+        return { type: 'data', value: JSON.parse(dataStr) };
+      } catch (e) {
+        return { type: 'data', value: dataStr };
+      }
+    }
+    return null;
+  }
+
+  transformEvent(eventType, eventData) {
+    logDebug(`Target OpenAI event: ${eventType}`);
+
+    if (eventType === 'response.created') {
+      return this.createOpenAIChunk('', 'assistant', false);
+    }
+
+    if (eventType === 'response.in_progress') {
+      return null;
+    }
+
+    if (eventType === 'response.output_text.delta') {
+      const text = eventData.delta || eventData.text || '';
+      return this.createOpenAIChunk(text, null, false);
+    }
+
+    if (eventType === 'response.output_text.done') {
+      return null;
+    }
+
+    if (eventType === 'response.done') {
+      const status = eventData.response?.status;
+      let finishReason = 'stop';
+      
+      if (status === 'completed') {
+        finishReason = 'stop';
+      } else if (status === 'incomplete') {
+        finishReason = 'length';
+      }
+
+      const finalChunk = this.createOpenAIChunk('', null, true, finishReason);
+      const done = this.createDoneSignal();
+      return finalChunk + done;
+    }
+
+    return null;
+  }
+
+  createOpenAIChunk(content, role = null, finish = false, finishReason = null) {
+    const chunk = {
+      id: this.requestId,
+      object: 'chat.completion.chunk',
+      created: this.created,
+      model: this.model,
+      choices: [
+        {
+          index: 0,
+          delta: {},
+          finish_reason: finish ? finishReason : null
+        }
+      ]
+    };
+
+    if (role) {
+      chunk.choices[0].delta.role = role;
+    }
+    if (content) {
+      chunk.choices[0].delta.content = content;
+    }
+
+    return `data: ${JSON.stringify(chunk)}\n\n`;
+  }
+
+  createDoneSignal() {
+    return 'data: [DONE]\n\n';
+  }
+
+  async *transformStream(sourceStream) {
+    let buffer = '';
+    let currentEvent = null;
+
+    try {
+      for await (const chunk of sourceStream) {
+        buffer += chunk.toString();
+        const lines = buffer.split('\n');
+        buffer = lines.pop() || '';
+
+        for (const line of lines) {
+          if (!line.trim()) continue;
+
+          const parsed = this.parseSSELine(line);
+          if (!parsed) continue;
+
+          if (parsed.type === 'event') {
+            currentEvent = parsed.value;
+          } else if (parsed.type === 'data' && currentEvent) {
+            const transformed = this.transformEvent(currentEvent, parsed.value);
+            if (transformed) {
+              yield transformed;
+            }
+          }
+        }
+      }
+
+      if (currentEvent === 'response.done' || currentEvent === 'response.completed') {
+        yield this.createDoneSignal();
+      }
+    } catch (error) {
+      logDebug('Error in OpenAI stream transformation', error);
+      throw error;
+    }
+  }
+}