Initial commit: OpenAI compatible API proxy with auto token refresh

- Implemented OpenAI compatible API proxy server - Support for Anthropic and custom OpenAI format conversion - Automatic API key refresh with WorkOS OAuth - SSE streaming response transformation - Smart header management for Factory endpoints - Chinese documentation
2025-10-06 02:12:01 +08:00
commit 6dca025e96
15 changed files with 2486 additions and 0 deletions
--- a/.gitignore
+++ b/.gitignore
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+node_modules/
+*.log
+.env
+.DS_Store
--- a/README.md
+++ b/README.md
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+# droid2api
+
+OpenAI 兼容 API 代理服务器，用于在不同 LLM API 格式之间进行转换。
+
+## 功能特性
+
+- **标准 OpenAI API 接口**：提供完全兼容 OpenAI 的 API 端点
+- **多格式支持**：支持 Anthropic 和自定义 OpenAI 格式之间的自动转换
+- **流式响应**：自动转换 SSE (Server-Sent Events) 流式响应为标准 OpenAI 格式
+- **自动刷新 API Key**：集成 WorkOS 认证，自动管理和刷新访问令牌（8小时有效期，每6小时自动刷新）
+- **智能 Header 管理**：自动添加和管理所有必需的 Factory 特定 headers
+- **配置化路由**：通过 config.json 灵活配置模型和端点映射
+- **开发模式**：详细的日志输出，便于调试
+
+## 安装
+
+```bash
+npm install
+```
+
+## 配置
+
+### 1. 配置端点和模型
+
+编辑 `config.json` 文件：
+
+```json
+{
+  "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"
+    }
+  ],
+  "models": [
+    {
+      "name": "Claude Opus 4",
+      "id": "claude-opus-4-1-20250805",
+      "type": "anthropic"
+    },
+    {
+      "name": "GPT-5 Codex",
+      "id": "gpt-5-codex",
+      "type": "openai"
+    }
+  ],
+  "dev_mode": false
+}
+```
+
+### 2. 配置认证（二选一）
+
+#### 方式一：使用环境变量（推荐用于开发/测试）
+
+```bash
+export DROID_REFRESH_KEY="your_refresh_token_here"
+```
+
+刷新后的 API key 会保存到工作目录的 `auth.json` 文件。
+
+#### 方式二：使用配置文件（推荐用于生产环境）
+
+确保 `~/.factory/auth.json` 文件存在并包含有效的 tokens：
+
+```json
+{
+  "access_token": "your_access_token_here",
+  "refresh_token": "your_refresh_token_here"
+}
+```
+
+刷新后的 tokens 会自动更新到原文件。
+
+## 使用方法
+
+### 启动服务器
+
+```bash
+npm start
+```
+
+或使用快捷脚本：
+
+```bash
+./start.sh
+```
+
+服务器默认运行在 `http://localhost:3000`。
+
+### API 端点
+
+#### 1. 获取可用模型列表
+
+```bash
+GET /v1/models
+```
+
+**示例：**
+```bash
+curl http://localhost:3000/v1/models
+```
+
+**响应：**
+```json
+{
+  "object": "list",
+  "data": [
+    {
+      "id": "claude-opus-4-1-20250805",
+      "object": "model",
+      "created": 1704067200000,
+      "owned_by": "factory"
+    }
+  ]
+}
+```
+
+#### 2. 对话补全（兼容 OpenAI）
+
+```bash
+POST /v1/chat/completions
+```
+
+**请求参数：**
+- `model` (必需): 模型 ID
+- `messages` (必需): 对话消息数组
+- `stream` (可选): 是否使用流式响应，默认 true
+- `max_tokens` (可选): 最大输出 tokens 数
+- `temperature` (可选): 温度参数 0-1
+- `top_p` (可选): Top-p 采样参数
+
+**示例（流式响应）：**
+```bash
+curl http://localhost:3000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "claude-opus-4-1-20250805",
+    "messages": [
+      {"role": "user", "content": "你好，请介绍一下你自己"}
+    ],
+    "stream": true,
+    "max_tokens": 2000
+  }'
+```
+
+**示例（非流式响应）：**
+```bash
+curl http://localhost:3000/v1/chat/completions \
+  -H "Content-Type: application/json" \
+  -d '{
+    "model": "gpt-5-codex",
+    "messages": [
+      {"role": "user", "content": "写一个 Python 快速排序"}
+    ],
+    "stream": false
+  }'
+```
+
+## API Key 自动刷新机制
+
+代理服务器会自动管理 API key 的刷新：
+
+1. **启动时刷新**：服务器启动时自动获取新的 access token
+2. **定期刷新**：每次 API 请求前检查，如果距离上次刷新超过 6 小时则自动刷新
+3. **令牌有效期**：access token 有效期为 8 小时
+4. **自动保存**：刷新后的 tokens 自动保存到相应的配置文件
+
+**刷新日志示例：**
+```
+[INFO] Refreshing API key...
+[INFO] Authenticated as: user@example.com (John Doe)
+[INFO] User ID: user_01K69S755R2TWYFWKPSP74TRKZ
+[INFO] Organization ID: org_01K69S7KKYK6F2WYJ8CB384GW6
+[INFO] API key refreshed successfully
+```
+
+## 格式转换说明
+
+### Anthropic 格式转换
+
+**请求转换：**
+- `messages` → `messages`（提取 system 消息到顶层）
+- `max_tokens` → `max_tokens`（默认 4096）
+- 文本内容包装为 `{type: 'text', text: '...'}`
+- 工具格式转换
+
+**响应转换：**
+- 转换 SSE 事件：`message_start`, `content_block_delta`, `message_delta`, `message_stop`
+- 转换为标准 OpenAI chunk 格式
+- 映射停止原因：`end_turn` → `stop`, `max_tokens` → `length`
+
+### OpenAI 格式转换
+
+**请求转换：**
+- `messages` → `input`
+- `max_tokens` → `max_output_tokens`
+- 用户消息：`text` → `input_text`
+- 助手消息：`text` → `output_text`
+- 提取 system 消息为 `instructions` 参数
+
+**响应转换：**
+- 转换 SSE 事件：`response.created`, `response.in_progress`, `response.done`
+- 转换为标准 OpenAI chunk 格式
+
+## Header 管理
+
+代理服务器会自动添加所有必需的 headers：
+
+### Anthropic 端点
+- `x-model-provider: anthropic`
+- `x-factory-client: cli`
+- `user-agent: a$/JS 0.57.0`
+- `anthropic-version: 2023-06-01`
+- `anthropic-beta: interleaved-thinking-2025-05-14`
+- `x-stainless-helper-method: stream`（流式请求）
+- 自动生成的 UUID：`x-session-id`, `x-assistant-message-id`
+
+### OpenAI 端点
+- `x-factory-client: cli`
+- `user-agent: cB/JS 5.22.0`
+- 自动生成的 UUID：`x-session-id`, `x-assistant-message-id`
+
+## 开发模式
+
+在 `config.json` 中设置 `dev_mode: true` 可以启用详细日志：
+
+```json
+{
+  "dev_mode": true
+}
+```
+
+**日志内容包括：**
+- 完整的请求和响应 headers
+- 请求体和响应体
+- 格式转换过程
+- SSE 事件处理详情
+
+## 端口冲突处理
+
+如果端口 3000 已被占用，可以：
+
+1. **修改配置文件**：编辑 `config.json` 中的 `port` 字段
+2. **或者结束占用进程**：
+   ```bash
+   lsof -ti:3000 | xargs kill -9
+   ```
+
+## 故障排查
+
+### 启动时报错 "Refresh token not found"
+
+**原因**：未配置 refresh token
+
+**解决方案**：
+- 设置环境变量 `DROID_REFRESH_KEY`
+- 或配置 `~/.factory/auth.json` 文件
+
+### 请求返回 401 错误
+
+**可能原因**：
+1. refresh token 已过期或无效
+2. API key 刷新失败
+
+**解决方案**：
+- 检查日志中的刷新错误信息
+- 重新获取有效的 refresh token
+- 确认 `~/.factory/auth.json` 中的 tokens 正确
+
+### 响应格式错误
+
+**原因**：模型类型配置错误
+
+**解决方案**：
+- 检查 `config.json` 中模型的 `type` 字段
+- Anthropic 模型使用 `"type": "anthropic"`
+- OpenAI 模型使用 `"type": "openai"`
+
+## 技术架构
+
+- **语言**：Node.js (ES Modules)
+- **框架**：Express
+- **HTTP 客户端**：node-fetch
+- **认证**：WorkOS OAuth 2.0 Refresh Token Flow
+
+## 许可证
+
+MIT
--- a/auth.js
+++ b/auth.js
@@ -0,0 +1,268 @@
+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'
+let authFilePath = null;
+
+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 initial refresh token from environment or config file
+ */
+function loadRefreshToken() {
+  // 1. Check environment variable 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 envRefreshKey.trim();
+  }
+
+  // 2. 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 authData.refresh_token.trim();
+      }
+    }
+  } catch (error) {
+    logError('Error reading ~/.factory/auth.json', error);
+  }
+
+  // 3. No refresh token found - throw error
+  const errorMessage = `
+╔════════════════════════════════════════════════════════════════╗
+║              Refresh Token Not Found                           ║
+╚════════════════════════════════════════════════════════════════╝
+
+No valid refresh token found. Please use one of the following methods:
+
+1. Set environment variable:
+   export DROID_REFRESH_KEY="your_refresh_token_here"
+
+2. Or ensure ~/.factory/auth.json exists with valid refresh_token:
+   {
+     "access_token": "your_access_token",
+     "refresh_token": "your_refresh_token"
+   }
+
+Current status:
+  - DROID_REFRESH_KEY: ${envRefreshKey ? 'empty or whitespace' : 'not set'}
+  - ~/.factory/auth.json: ${fs.existsSync(factoryAuthPath) ? 'exists but invalid/empty refresh_token' : 'not found'}
+`;
+
+  logError(errorMessage);
+  throw new Error('Refresh token not found. Please configure DROID_REFRESH_KEY or ~/.factory/auth.json');
+}
+
+/**
+ * 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('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 refresh token and get initial API key
+ */
+export async function initializeAuth() {
+  try {
+    currentRefreshToken = loadRefreshToken();
+    
+    // Always refresh on startup to get fresh token
+    await refreshApiKey();
+    
+    logInfo('Auth system initialized successfully');
+  } catch (error) {
+    logError('Failed to initialize auth system', error);
+    throw error;
+  }
+}
+
+/**
+ * Get API key, refresh if needed
+ */
+export async function getApiKey() {
+  // 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. Please initialize auth system first.');
+  }
+
+  return `Bearer ${currentApiKey}`;
+}
--- a/config.js
+++ b/config.js
@@ -0,0 +1,46 @@
+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() {
+  const cfg = getConfig();
+  return cfg.port || 3000;
+}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,41 @@
+{
+  "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"
+    }
+  ],
+  "models": [
+    {
+      "name": "Opus 4.1",
+      "id": "claude-opus-4-1-20250805",
+      "type": "anthropic"
+    },
+    {
+      "name": "Sonnet 4",
+      "id": "claude-sonnet-4-20250514",
+      "type": "anthropic"
+    },
+    {
+      "name": "Sonnet 4.5",
+      "id": "claude-sonnet-4-5-20250929",
+      "type": "anthropic"
+    },
+    {
+      "name": "GPT-5",
+      "id": "gpt-5-2025-08-07",
+      "type": "openai"
+    },
+    {
+      "name": "GPT-5-Codex",
+      "id": "gpt-5-codex",
+      "type": "openai"
+    }
+  ],
+  "dev_mode": false
+}
--- a/logger.js
+++ b/logger.js
@@ -0,0 +1,60 @@
+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}`);
+  }
+}
--- a/package-lock.json
+++ b/package-lock.json
@@ -0,0 +1,925 @@
+{
+  "name": "droid2api",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
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+    "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"
+      }
+    }
+  }
+}
--- a/package.json
+++ b/package.json
@@ -0,0 +1,18 @@
+{
+  "name": "droid2api",
+  "version": "1.0.0",
+  "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"
+  }
+}
--- a/routes.js
+++ b/routes.js
@@ -0,0 +1,157 @@
+import express from 'express';
+import fetch from 'node-fetch';
+import { getConfig, getModelById, getEndpointByType } 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 { AnthropicResponseTransformer } from './transformers/response-anthropic.js';
+import { OpenAIResponseTransformer } from './transformers/response-openai.js';
+import { getApiKey } from './auth.js';
+
+const router = express.Router();
+
+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' });
+  }
+});
+
+router.post('/v1/chat/completions', async (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();
+    } 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 !== false;
+      headers = getAnthropicHeaders(authHeader, clientHeaders, isStreaming);
+    } else if (model.type === 'openai') {
+      transformedRequest = transformToOpenAI(openaiRequest);
+      headers = getOpenAIHeaders(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 ${response.status}`,
+        details: errorText 
+      });
+    }
+
+    const isStreaming = transformedRequest.stream !== false;
+
+    if (isStreaming) {
+      res.setHeader('Content-Type', 'text/event-stream');
+      res.setHeader('Cache-Control', 'no-cache');
+      res.setHeader('Connection', 'keep-alive');
+
+      let transformer;
+      if (model.type === 'anthropic') {
+        transformer = new AnthropicResponseTransformer(modelId, `chatcmpl-${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();
+      logResponse(200, null, data);
+      res.json(data);
+    }
+
+  } catch (error) {
+    logError('Error in POST /v1/chat/completions', error);
+    res.status(500).json({ 
+      error: 'Internal server error',
+      message: error.message 
+    });
+  }
+});
+
+export default router;
--- a/server.js
+++ b/server.js
@@ -0,0 +1,86 @@
+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');
+  
+  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'
+    ]
+  });
+});
+
+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 refresh API key)
+    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');
+    })
+    .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);
+  }
+})();
--- a/start.sh
+++ b/start.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+
+echo "Starting droid2api server..."
+node server.js
--- a/transformers/request-anthropic.js
+++ b/transformers/request-anthropic.js
@@ -0,0 +1,172 @@
+import { logDebug } from '../logger.js';
+
+export function transformToAnthropic(openaiRequest) {
+  logDebug('Transforming OpenAI request to Anthropic format');
+  
+  const anthropicRequest = {
+    model: openaiRequest.model,
+    messages: [],
+    stream: openaiRequest.stream !== false
+  };
+
+  // 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 if system content exists
+  if (systemContent.length > 0) {
+    anthropicRequest.system = 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;
+    });
+  }
+
+  // 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) {
+  // 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': '2023-06-01',
+    'anthropic-beta': 'interleaved-thinking-2025-05-14',
+    'x-api-key': 'placeholder',
+    'authorization': authHeader || '',
+    'x-model-provider': 'anthropic',
+    'x-factory-client': 'cli',
+    'x-session-id': sessionId,
+    'x-assistant-message-id': messageId,
+    'user-agent': 'a$/JS 0.57.0',
+    'x-stainless-timeout': '600',
+    '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': '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);
+  });
+}
--- a/transformers/request-openai.js
+++ b/transformers/request-openai.js
@@ -0,0 +1,147 @@
+import { logDebug } from '../logger.js';
+
+export function transformToOpenAI(openaiRequest) {
+  logDebug('Transforming OpenAI request to target OpenAI format');
+  
+  const targetRequest = {
+    model: openaiRequest.model,
+    input: [],
+    store: false,
+    stream: openaiRequest.stream !== false
+  };
+
+  // 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
+  const systemMessage = openaiRequest.messages?.find(m => m.role === 'system');
+  if (systemMessage) {
+    if (typeof systemMessage.content === 'string') {
+      targetRequest.instructions = systemMessage.content;
+    } else if (Array.isArray(systemMessage.content)) {
+      targetRequest.instructions = systemMessage.content
+        .filter(p => p.type === 'text')
+        .map(p => p.text)
+        .join('\n');
+    }
+    targetRequest.input = targetRequest.input.filter(m => m.role !== 'system');
+  }
+
+  // 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-key': 'placeholder',
+    'x-factory-client': 'cli',
+    'x-session-id': sessionId,
+    'x-assistant-message-id': messageId,
+    'user-agent': 'cB/JS 5.22.0',
+    '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': '5.22.0',
+    '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);
+  });
+}
--- a/transformers/response-anthropic.js
+++ b/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: ${JSON.stringify(chunk)}\n\n`;
+  }
+
+  createDoneSignal() {
+    return 'data: [DONE]\n\n';
+  }
+
+  mapStopReason(anthropicReason) {
+    const mapping = {
+      'end_turn': 'stop',
+      'max_tokens': 'length',
+      'stop_sequence': 'stop',
+      'tool_use': 'tool_calls'
+    };
+    return mapping[anthropicReason] || 'stop';
+  }
+
+  async *transformStream(sourceStream) {
+    let buffer = '';
+    let currentEvent = null;
+
+    try {
+      for await (const chunk of sourceStream) {
+        buffer += chunk.toString();
+        const lines = buffer.split('\n');
+        buffer = lines.pop() || '';
+
+        for (const line of lines) {
+          if (!line.trim()) continue;
+
+          const parsed = this.parseSSELine(line);
+          if (!parsed) continue;
+
+          if (parsed.type === 'event') {
+            currentEvent = parsed.value;
+          } else if (parsed.type === 'data' && currentEvent) {
+            const transformed = this.transformEvent(currentEvent, parsed.value);
+            if (transformed) {
+              yield transformed;
+            }
+            currentEvent = null;
+          }
+        }
+      }
+    } catch (error) {
+      logDebug('Error in Anthropic stream transformation', error);
+      throw error;
+    }
+  }
+}
--- a/transformers/response-openai.js
+++ b/transformers/response-openai.js
@@ -0,0 +1,127 @@
+import { logDebug } from '../logger.js';
+
+export class OpenAIResponseTransformer {
+  constructor(model, requestId) {
+    this.model = model;
+    this.requestId = requestId || `chatcmpl-${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;
+    }
+  }
+}